Contents

Title and Copyright Information

Preface

Audience

Documentation Accessibility

Related Documents

Conventions

Part I Logical and Physical Data Model

1 Introducing Oracle Airlines Data Model

What is Oracle Airlines Data Model?

What Are the Benefits of Using Oracle Airlines Data Model?

What Are the Components of Oracle Airlines Data Model?

Oracle Products That Make Up Oracle Airlines Data Model

2 Logical Data Model

Reference Entities

Lookup Entities

Base Entities

Derived Entities

Aggregate Entities

Logical Data Model Entity Dictionary

Logical Data Model Dimensions Dictionary

3 Oracle Airlines Data Model Physical Data Model

Introduction to Oracle Airlines Data Model Physical Data Model

Reference Tables

Base Tables

Derived Tables

Aggregate Tables

Dimension Tables

Lookup Tables

Mining Tables

Database Sequences

Metadata Tables

Oracle Airlines Data Model OLAP Cube MV, Cube View

4 Oracle Airlines Data Model Logical to Physical Mapping

Logical to Physical Mappings for Oracle Airlines Data Model

5 Oracle Airlines Data Model Partitioning

Partitioning Strategy for Oracle Airlines Data Model

Part II Inter-ETL, OLAP, Data Mining, and Utility Scripts

6 Oracle Airlines Data Model Intra-ETL

Introduction to Oracle Airlines Data Model Intra-ETL

Value Lookup Models for PL/SQL Procedures

Intra-ETL PL/SQL Mapping Source and Target Tables

PKG_DWA_CUST_SRVY Mapping

PKG_DWA_DLY_BKG_FACT Mapping

PKG_DWA_DLY_CALL_CNTR_PRFMNC Mapping

PKG_DWA_DLY_FLT_DETLS Mapping

PKG_DWA_DLY_LYLTY_ACCT_BKG Mapping

PKG_DWA_DLY_LYLTY_ACCT Mapping

PKG_DWD_BKG_FACT Mapping

PKG_DWD_CALL_CNTR_PRFMNC Mapping

PKG_DWD_CUST_SRVY Mapping

PKG_DWD_FLT_DETLS_FACT Mapping

PKG_DWD_LYLTY_ACCT_BAL_HIST Mapping

PKG_DWD_LYLTY_ACCT_LVL_HIST Mapping

PKG_DWD_LYLTY_PRG Mapping

PKG_DWD_PNR Mapping

PKG_DWD_TKT Mapping

PKG_DWM_ACCT Mapping

PKG_DWM_ACFT_VER Mapping

PKG_DWM_AIP Procedure

PKG_DWM_BKG_CLS_TYP Procedure

PKG_DWM_BKG_OFF Mapping

PKG_DWM_BKG_PAX Mapping

PKG_DWM_BKG_TST Mapping

PKG_DWM_CARR Mapping

PKG_DWM_CORP_CUST Mapping

PKG_DWM_FLT Mapping

PKG_DWM_FRQTFLR Mapping

PKG_DWM_INTRATN_RSLT Mapping

PKG_DWM_INTRATN_RSN Mapping

PKG_DWM_LEG Mapping

PKG_DWM_LYLTY_LVL Mapping

PKG_DWM_PDI_CHNL Mapping

PKG_DWM_SALES_CHNL Mapping

PKG_DWM_SEG Mapping

PKG_DWM_SEG_PAIR Mapping

PKG_DWM_SVC Mapping

PKG_DWM_TRAF_CATG Mapping

Intra-ETL Process Flows

7 Oracle Airlines Data Model OLAP Model Dimensions

Oracle Airlines Data Model Introduction to OLAP Dimensions

Oracle Airlines Data Model OLAP Dimensions

Booking Class: BKCLS

Booking Office: BKOFC

Geography: GEO

Interaction Reason: IRSN

Loyalty Level: LOYLV

Operating Flight: OPFLT

Operating Segment: OPSMT

Route: ROUTE

Service: SRVC

Time: TIME

8 Oracle Airlines Data Model OLAP Model Cubes

Oracle Airlines Data Model OLAP Cubes Overview

Booking Segment Departure Fact Cube: BSDF

Booking Segment Departure Fact Forecast Cube: BSDF_F

Call Center Performance Fact Cube: CCPF

Customer Survey Daily Fact Cube: CSDF

Flight Detail Daily Fact Cube: FDDF

Loyalty Account Fact Cube: LYAF

Loyalty Booking Fact Cube: LYBF

9 Oracle Airlines Data Model Data Mining Models

About Data Mining in Oracle Airlines Data Model

Understanding the Oracle Airlines Data Model Data Mining Architecture

Using the Mining Model Refresh Procedure

About Data Mining in Oracle Airlines Data Model

Oracle Airlines Data Model Mining Result Tables

Model 1: Customer Segmentation Analysis

Customer Segmentation Source

Customer Segmentation Output

Customer Segmentation Algorithm

Model 2: Customer Loyalty Analysis

Target Variables

Customer Loyalty Source

Customer Loyalty Output

Customer Loyalty Algorithms

Model 3: Customer Life Time Value Analysis

Target Variables

Customer Life Time Value Source

Customer Life Time Value Output

Customer Life Time Value Algorithm

Model 4: Frequent Flyer Passenger Prediction

Target Variables

Non-Frequent Flyer Passenger Source

Non-Frequent Flyer Passenger Output

Non-Frequent Flyer Passenger Algorithm

10 Oracle Airlines Data Model Utility Scripts

Calendar Population

Calendar Population Scripts

How to Populate Calendar Data

11 Oracle Airlines Data Model Sample Reports

Agent Performance Analysis

Agent Performance Analysis Confirmed

Agent Performance Analysis PCT CANCEL

Agent Performance Analysis Total Revenue

Booking Analysis

Agent Booking Analysis

Booking Segment Analysis

Daily Booking Analysis

Flight booking Analysis

Group Booking Analysis

Monthly Booking Analysis

Quarterly Booking Analysis

Service Class Analysis

Weekly Booking Analysis

Channel Performance Analysis

Agent Booking Analysis

Sales Channel Performance Analysis

Revenue Analysis

Agent Revenue Analysis in USD

Booking Class Revenue Analysis in USD

Channel Revenue Analysis in USD

Flight Revenue Analysis in USD

Flown Revenue Per Sales Region

Flown Revenue per Sales Region and Service Class

Sales - Net Revenue Flown Channel Flop 10

Sales - Net Revenue Flown Channel Top 10

Sales - Net Revenue Flown Flop 10 Countries

Sales - Net Revenue Flown Top 10 Countries

Sales - Net Revenue Per Agency - Top 10 Revenue

Segment Revenue Analysis in USD

Service Class Revenue Analysis in USD

Route Analysis Reports

Route Ranking on Bookings

Call Center Performance Analysis

Call Center Performance

Call Center Sales Performance

Customer Loyalty Analysis

Airline Contribution

Earn / Redemption

Membership Development

Frequent Flyer Customer Mining

Non-Frequent Flyer Customer Mining

Customer Interaction Analysis

Customer Satisfaction Survey Summary

Customer Satisfaction Onboard Survey Detail

Customer Satisfaction Ground Survey Detail

Customer Relations Customer Comments

Part III Appendices

A Control Tables

Intra-ETL Load Parameters Control Table

Intra-ETL OLAP Mapping Control Table

Intra-ETL Monitoring Process Control Tables

Intra-ETL Parameter Management Tables

Intra-ETL Error Management Table

Index

Oracle® Airlines Data Model

Reference

11g Release 2 (11.2)

E26208-02

December 2011

Oracle Airlines Data Model Reference 11g Release 2 (11.2)

E26208-02

Copyright © 2010, 2011, Oracle and/or its affiliates. All rights reserved.

Primary Author: Thomas Van Raalte

Contributing Author: Betsy Vanasse

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Preface

The Oracle Airlines Data Model Reference describes the data model structures for Oracle Airlines Data Model. Since the needs of each Oracle Airlines Data Model environment are unique, Oracle Airlines Data Model is configurable so it can be modified to address each customer's needs.

Audience

The audience for the Oracle Airlines Data Model Reference includes the following:

IT specialists, who maintain and adjust Oracle Airlines Data Model. They are assumed to have a strong foundation in Oracle Database and PL/SQL, Analytic Workspace Manager (AWM), and Oracle Business Intelligence Suite Enterprise Edition.

Database administrators, who will administer the data warehouse and the database objects that store the data. They are assumed to understand Intra-ETL, which is used to transfer data from one format to another, as well as PL/SQL and the Oracle Database.

Business analysts, including information and data analysts, market analysts and sales analysts.

This document is also intended for data modelers, data warehouse administrators, IT staff, and ETL developers.

Documentation Accessibility

For information about Oracle's commitment to accessibility, visit the Oracle Accessibility Program website at http://www.oracle.com/pls/topic/lookup?ctx=acc&id=docacc.

Access to Oracle Support

Oracle customers have access to electronic support through My Oracle Support. For information, visit http://www.oracle.com/pls/topic/lookup?ctx=acc&id=info or visit http://www.oracle.com/pls/topic/lookup?ctx=acc&id=trs if you are hearing impaired.

Related Documents

For more information about Oracle Airlines Data Model, see the following documents in the Oracle Airlines Data Model documentation set:

Oracle Airlines Data Model Installation Guide

Oracle Airlines Data Model Implementation and Operations Guide

Oracle Airlines Data Model Release Notes

Conventions

The following text conventions are used in this document:

Convention | Meaning
boldface | Boldface type indicates graphical user interface elements associated with an action, or terms defined in text.
italic | Italic type indicates book titles, emphasis, or placeholder variables for which you supply particular values.
monospace | Monospace type indicates commands within a paragraph, URLs, code in examples, text that appears on the screen, or text that you enter.

Part I

Logical and Physical Data Model

This part provides introductory information and details for the Oracle Airlines Data Model Logical and Physical Data model.

Part I contains the following chapters:

Chapter 1, "Introducing Oracle Airlines Data Model"

Chapter 2, "Logical Data Model"

Chapter 3, "Oracle Airlines Data Model Physical Data Model"

Chapter 4, "Oracle Airlines Data Model Logical to Physical Mapping"

Chapter 5, "Oracle Airlines Data Model Partitioning"

1 Introducing Oracle Airlines Data Model

This chapter introduces the Oracle Airlines Data Model, which is a standards-based, pre-built approach to airline data warehousing.

This chapter includes the following sections:

What is Oracle Airlines Data Model?

What Are the Benefits of Using Oracle Airlines Data Model?

What Are the Components of Oracle Airlines Data Model?

Oracle Products That Make Up Oracle Airlines Data Model

What is Oracle Airlines Data Model?

Oracle Airlines Data Model is a standards-based, pre-built approach to airline data warehousing enabling an airline company to realize the power of insight more quickly. Oracle Airlines Data Model reduces costs for both immediate and on-going operations by leveraging out-of-box Oracle based Data Warehouse and Business Intelligence solutions, making world-class database and business intelligence technology solutions available with an airline business specific data model.

Oracle Airlines Data Model offers a single-vendor solution package that is tightly integrated with the business intelligence platform. With pre-built data mining, Oracle Online Analytical Processing (Oracle OLAP) and dimensional models, Oracle Airlines Data Model provides you with industry-specific metrics and insights that you can act on immediately to improve your bottom line. These business intelligence solution offerings take advantage of Oracle's scalability and reliability, using Oracle's familiar optimization, parallelism, and performance engineering within the database.

Oracle Airlines Data Model can be used in any application environment and is easily extendable.

Oracle Airlines Data Model, combined with Oracle technology, provides all of the components required for a complete and extendable Airlines Data Warehouse and Business Intelligence framework to eliminate complex and costly integration requirements, all designed to reduce your total cost of ownership.

What Are the Benefits of Using Oracle Airlines Data Model?

With Oracle Airlines Data Model, you can jump-start the design and implementation of an airline data warehouse to quickly achieve a positive ROI for your data warehousing and business intelligence project with a predictable implementation effort.

Oracle Airlines Data Model provides the following features:

Query and Reporting for information: provides extraction of detailed and summary data.

OLAP for data analysis: provides summaries, trends, and forecasts.

Data Mining for insight and prediction: provides knowledge discovery of hidden patterns and insights.

Oracle Airlines Data Model provides an off-the-shelf data warehouse framework that is both adaptable and extendable. Alignment with Airline industry standards ensures interoperability with other systems. The pre-built, pre-tuned data model with intelligent insight into detailed airline and market data, allows you to quickly gain value from your data warehousing effort, supports diverse analytical requirements, and assists in building future analytical applications. Fast, easy and predictable implementation reduces risks and enables you to achieve strategic value more rapidly by eliminating deployment delays and expenses associated with built-from-scratch or proprietary data warehouse solutions.

What Are the Components of Oracle Airlines Data Model?

Oracle Airlines Data Model includes the following components:

Logical Model and Dimensions

Chapter 2, "Logical Data Model" describes the logical data model and the dimensions entities.

Physical Model

Chapter 3, "Oracle Airlines Data Model Physical Data Model" describes the physical data model. The logical to physical mapping is detailed in Chapter 4, "Oracle Airlines Data Model Logical to Physical Mapping". Chapter 5, "Oracle Airlines Data Model Partitioning" provides the partitioning strategy for the Oracle Airlines Data Model physical base, derived, and aggregate tables.

Intra-ETL database packages and SQL scripts to extract, transform, and load (ETL) data from one layer of Oracle Airlines Data Model to another.

The intra-ETL packages and SQL scripts are described in detail in Chapter 6, "Oracle Airlines Data Model Intra-ETL".

OLAP Models for Oracle Airlines Data Model

Chapter 7, "Oracle Airlines Data Model OLAP Model Dimensions" and Chapter 8, "Oracle Airlines Data Model OLAP Model Cubes" describe the OLAP Models.

Pre-defined Data Mining Models

These models are described in detail in Chapter 9, "Oracle Airlines Data Model Data Mining Models".

Utility Scripts

The utility scripts are described in Chapter 10, "Oracle Airlines Data Model Utility Scripts".

Sample reports and sample dashboards

Chapter 11, "Oracle Airlines Data Model Sample Reports" shows sample reports.

Installation scripts

For more information on installation, refer to the Oracle Airlines Data Model Installation Guide.

Oracle Products That Make Up Oracle Airlines Data Model

Several Oracle technologies are involved in building the infrastructure for Airline business intelligence.

Oracle Database with OLAP, Data Mining and Partitioning Option

Oracle Airlines Data Model utilizes a complete Oracle technical stack. It leverages the following data warehousing features of the Oracle database: SQL model, compression, partitioning, data mining, and online analytical processing (OLAP).

Oracle Development Tools

Table 1-1 shows the tools you use to customize the predefined physical models provided with Oracle Airlines Data Model, or to populate the target relational tables and OLAP cubes.

Table 1-1 Oracle Development Tools Used with Oracle Airlines Data Model

Name
Use

SQL Developer or SQL*Plus

To create or modify database objects

Analytic Workspace Manager

To populate the target OLAP cubes

Oracle Business Intelligence Suite Enterprise Edition Presentation Tools

Oracle Business Intelligence Suite Enterprise Edition is a comprehensive suite of enterprise Business Intelligence products that delivers a full range of analysis and reporting capabilities. You can use Oracle Business Intelligence Suite Enterprise Edition Answers and Dashboard presentation tools to customize the predefined sample dashboard reports that are provided with Oracle Airlines Data Model.

2 Logical Data Model

The logical data model of the Oracle Airlines Data Model defines the business entities and their relationships and provides an understanding of the business and data requirements for the Oracle Airlines Data Model data warehouse.

This chapter includes the following sections:

Reference Entities

Lookup Entities

Base Entities

Derived Entities

Aggregate Entities

Logical Data Model Entity Dictionary

Logical Data Model Dimensions Dictionary

Note:

The figures showing complete diagrams with attributes and entities are available with the Oracle Airlines Data Model IP Patch. The IP Patch includes additional documentation. For information on obtaining the IP Patch, see the Oracle Airlines Data Model Release Notes and for the latest information about Oracle Airlines Data Model patch sets, go to My Oracle Support at https://support.oracle.com.

Reference Entities

Reference Entities define the entities within, and associated with the airline organization for which data would be recorded and analyzed. Reference entities help define the structure of the organization.

Table 2-1 lists the reference entities.

Table 2-1 Reference Entity List

Entity List

ACCOUNT

AIRPORT

AWARD VOUCHER

BANK CARD

BOOKING CAMPAIGN

BOOKING OFFICE

BOOKING OFFICE USER

BOOKING PASSENGER DOCUMENT INFORMATION

BOOKING PASSENGER

BOOKING PRODUCT

BOOKING SEAT PREFERENCE

BOOKING SERIES

BOOKING SSR BRDG

BOOKING TRANSITIONAL STORE TICKET

BOOKING TST PRICE

BOOKING TST SEGMENT

CARRIER

CHECKIN BAGGAGE GROUP

CHECKIN INDIVIDUAL BAGGAGE

CODESHARE

CODESHARE BRIDGE

CUSTOMER SEGMENTATION

CUSTOMER SEGMENTATION DETAILS

FLIGHT

FREQUENT FLYER

GROUPING

INFLIGHT MEAL

LEG

LOYALTY ACCOUNT

LOYALTY LEVEL

ODT ACCOUNT

OPTION

PARTY

PASSENGER CONTACT

PASSENGER COUNTRY ADDRESS INFORMATION

PASSENGER VISA INFORMATION

PDI CHARACTERISTIC

PNR PARENT CHILD RELATIONSHIP

POINT OF SALE GDS OFFICE

SEAT

SEGMENT

SERVICE

SMS AGENT

SMS CUSTOMER

STATION

TICKET COUPON

TSM

TSM PASSENGER

VEHICLE

VIP PASSENGER INFORMATION

Lookup Entities

In Oracle Airlines Data Model lookup entities describe the relatively static or descriptive data in the data warehouse. Lookup entities define the descriptions for frequently used attributes. Using lookup entities saves space, as the referring fact table holds only a small key or code and foreign key, and Oracle Airlines Data Model stores the space consuming description in a lookup table and does not repeat the description in each transaction row in which it is referenced.

Table 2-2 lists the lookup entities.

Table 2-2 Lookup Entity List

Entity List

ACCOUNT LEVEL

ACCOUNT TRANSFER REASON

ACCOUNT TYPE

AIRCRAFT TYPE

AIRCRAFT VERSION

BANK CARD TYPE

BOOKING CLASS

BOOKING OTHER SERVICE

BOOKING REMARK

BOOKING SPECIAL SERVICE REQUEST

CARRIER TYPE

COMPENSATORY REASON

COMPLAIN CLASS

COMPLAIN TYPE

FARE ELEMENT

INTERACTION REASON

INTERACTION RESULT TYPE

LETTER TYPE

PARTY INTERACTION ITEM STATUS

PARTY STATUS

PASSENGER NAME RECORD TYPE

PDI CHANNEL

SALES CHANNEL

TRAFFIC CATEGORY

TSM EXCESS BAGGAGE

TSM MCO

TSM PRICE

TSM ROUTE

TSM SERVICE

Base Entities

Base entities define atomic level transaction data. Data in the base tables support the derived and aggregate layers, and act as a source for Data Mining for advanced analysis.

Table 2-3 lists the Base entities.

Table 2-3 Base Entity List

Entity List

ACCOUNT LEVEL HISTORY

ACCOUNT TRANSFER

AUX

BOOKING

CAR RENTAL

CHECKIN

COMPENSATORY EARNING

COMPLAIN ADVICE

DIRECT EARNING

EARNING EVENT

FLIGHT CHANGE

FLIGHT SCHEDULE

HOTEL BOOKING

LOYALTY ACCOUNT BALANCE HISTORY

LOYALTY ACCOUNT LEVEL HISTORY

LOYALTY CONVERSION

LOYALTY POINTS EXPIRE

LOYALTY PROGRAM

PARTNER EARNING

PARTY INTERACTION CALL

PARTY INTERACTION EMAIL

PARTY INTERACTION

PARTY INTERACTION FAX

PARTY INTERACTION ITEM

PARTY INTERACTION LETTER

PARTY INTERACTION SMS

PARTY INTERACTION THREAD

PARTY INTERACTION VISIT

PASSENGER NAME RECORD

PDI

SEGMENT SCHEDULE

TAS

TICKET

TICKET DELIVERY ARRANGEMENT

TOUR

TRANSFER EARNING

Derived Entities

Table 2-4 lists the Derived entities.

Table 2-4 Derived Entity List

Entity List

BOOKING FACT

CALL CENTER PERFORMANCE

CHECKIN FACT

CUSTOMER LIFE TIME VALUE SUPPORT VECTOR MACHINE FACTOR

CUSTOMER LOYALTY DECISION TREE RULES

CUSTOMER LOYALTY SUPPORT VECTOR MACHINE FACTOR

CUSTOMER MINING

CUSTOMER RECENCY FREQUENCY MONETARY PROFITABILITY SCORE

CUSTOMER SURVEY

FLIGHT DETAILS FACT

FREQUENT FLIER PREDICTION DECISION TREE RULES

FREQUENT FLIER PREDICTION SUPPORT VECTOR MACHINE FACTOR

LOYALTY ACCOUNT BALANCE HISTORY

LOYALTY ACCOUNT LEVEL HISTORY

LOYALTY PROGRAM

NON FREQUENT FLIER MINING

PASSENGER NAME RECORD

TICKET

Aggregate Entities

Aggregate entities hold data rolled up from the Base or Derived entities at different levels across different dimensional hierarchies.

Table 2-5 lists the Aggregate entities.

Table 2-5 Aggregate Entity List

Entity List

BOOKING DAILY INVENTORY SNAPSHOT

CHECKIN DAILY FACT

CUSTOMER SURVEY

DAILY BOOKING FACT

DAILY CALL CENTER PERFORMANCE

DAILY FLIGHT DETAILS

DAILY LOYALTY ACCOUNT

DAILY LOYALTY ACCOUNT BOOKING

Logical Data Model Entity Dictionary

Table 2-6 through Table 2-8 list the logical data model entities, in alphabetical order.

Table 2-6 A to G Entity Descriptions

Entity Name
Type
Description

ACCOUNT

Reference

Specifies the account number and the cost center associated with each BOOKING.

ACCOUNT LEVEL

Lookup

Lookup for the domain of Account Levels achievable within a Rewards Program. For example:

Standard

Premier

Executive Premier

ACCOUNT LEVEL HISTORY

Base

Specifies ACCOUNT LEVEL change history.

ACCOUNT TRANSFER

Base

Represents the earnings transferred to or from an account.

ACCOUNT TRANSFER REASON

Lookup

Lookup for why the customer transfers points.

ACCOUNT TYPE

Lookup

Lookup for the type of account. For example:

Bank Card

Loyalty Card

AIRCRAFT TYPE

Lookup

Lookup for the type of Aircraft. For example Boeing 737.

AIRCRAFT VERSION

Reference

Specifies information about the AIRCRAFT TYPE. For example, if AIRCRAFT TYPE is Boeing 737 then Aircraft Version could be 800.

AIRPORT

Reference

Specifies an IATA recognized location that serves as an Origin or Destination of one or more flights, including details for the Airport. For example:

Country

City

Region

AUX

Base

Represents ancillary information.

AWARD VOUCHER

Reference

Specifies the award voucher given by an airline.

BANK CARD

Reference

A bank card issued by an bank or credit organization.

BANK CARD TYPE

Lookup

Lookup for the type of the BANK CARD. For example:

Credit card

Debit card

BOOKING

Base

Captures Booking per Passenger (Segment wise per passenger).

DOCO, DOCS, DOCA kept in a separate table with booking and passenger combination. Check for client indicator and other services which is explicitly linked to passengers.

BOOKING CAMPAIGN

Reference

Defines details of the Campaigns related to booking. One booking can be associated with a campaign.

BOOKING CLASS

Reference

Information about the booking class and its corresponding service class for the CARRIER. For example Service Class is Economy, and Booking Class may be A, B, C, and D. This booking class can fall under different services at a different point of time.

BOOKING DAILY INVENTORY SNAPSHOT

Aggregate

The status of bookings, cancellations, confirmations, and so on, as on date for future departures (starting the next day). The major dimensions of analysis for this fact are:

Traffic category

Segments

Flights

Snapshot date

Booking Class

Segment departure date

BOOKING FACT

Derived

Defines at the granularity of BOOKING SPECIAL SERVICE REQUESTs, BOOKING REMARKs, OPTIONs and BOOKING OTHER SERVICEs attached to each booking.

BOOKING OFFICE

Reference

Designator for a Travel Agent or Airline office as designated by IATA, a Global Distribution System (GDS), or an Airline.

BOOKING OFFICE USER

Reference

Represents Agent User Ids.

BOOKING OTHER SERVICE

Reference

Free texts of the booking for a CARRIER.

BOOKING PASSENGER

Reference

Passenger information for the booking. For example:

Last name

First name

Gender

Note: one booking can have two passengers only if there is an unseated infant.

BOOKING PASSENGER DOCUMENT INFORMATION

Reference

Personal details of the passenger. For example:

Gender

Nationality

Date of birth

BOOKING PRODUCT

Reference

Product information associated with the booking which is mainly campaigns.

BOOKING REMARK

Reference

Different remarks for the BOOKING and the PASSENGER NAME RECORD.

BOOKING SEAT PREFERENCE

Reference

Represents preferences of seat by the passenger specified during BOOKING. One seat can have multiple preferences. For example: Aisle

BOOKING SERIES

Reference

Tour Operators (or sales people/Group Analysts on their behalf) enter their series requests for the upcoming season into the system.

Each series request is for a certain number of seats, one-way on a certain SEGMENT, on a certain weekday for a certain period. The series itself is entered as a BOOKING and then every BOOKING that is part of that series is also entered as a BOOKING with a similar identifying Series-OSI- line. All bookings that belong to a certain series, whether it is the series itself or real BOOKINGs belonging to that series, have to be grouped together in a series-container.

BOOKING SPECIAL SERVICE REQUEST

Reference

Represents the status of the Special Service Request (SSR) and CARRIERs of the SSR for BOOKINGs.

BOOKING SSR BRDG

Reference

Represents a bridge table used to store information about the Special Service Requests (SSRs) used in a BOOKING.

BOOKING TRANSITIONAL STORE TICKET

Reference

Defines a Transitional Store Ticket (TST) generated with the BOOKING. The TST can be reused for other BOOKINGs having similar parameters. This determines the booking fare. A BOOKING can have two TSTs only if the passenger has an unseated infant.

BOOKING TST PRICE

Reference

Pricing information details for Transitional Store Ticket (TST).

BOOKING TST SEGMENT

Reference

Segment details of Transitional Store Ticket (TST), which has fare basis and stop over indicator information.

CALL CENTER PERFORMANCE

Derived

Specifies the daily performance summary data about call center.

CAR RENTAL

Base

Represents car rental related information.

CARRIER

Reference

This entity stores the details about the carrier, such as carrier code and description.

CARRIER TYPE

Reference

Carrier type details. For example:

Airline

Railway

On road transport

Ship

CHECKIN

Base

Entity specifies the checking information at the LEG level. TICKET, flight ID, pax ID can be derived from the booking ID for the PDI record. Provides the departure and arrival airport of the PDI from the LEG of the PDI. The LEG of the PDI is obtained using the booking ID and board and offpoint:

You can refer booking ID for the PDI and get the flight and segment information for that particular date.

Then refer flight schedule with the flight, SEGMENT and date for that booking ID it will give a unique LEG ID.

CHECKIN BAGGAGE GROUP

Reference

Defines information about the number of baggage checked-in, part of a baggage group, weight of the checked baggage of a group, number of hand baggage contained in the baggage group, and so on.

CHECKIN DAILY FACT

Aggregate

Daily fact for which data gets uploaded once at the end of day for the data to be available to the business users the next day. For example:

Total number of check in for a day for a particular flight

Total number of check in for a day for a SEGMENT

Total number of check in for a day for a LEG

Includes other measures. For example, total number of passengers checked-in in a particular day and is also based on other dimensions.

CHECKIN FACT

Derived

Checkin information at the LEG level.

CHECKIN INDIVIDUAL BAGGAGE

Reference

Information about the individual baggage during the check-in process. This information is mainly baggage tag, baggage source, baggage tag number, baggage tag final destination, and airline code.

CODESHARE

Reference

A marketing practice in which two or more airlines agree to share for marketing purposes. The same two letter code used to identify CARRIERs in the computer Reservation systems used by travel agents. Stores the details of the code share.

CODESHARE BRIDGE

Reference

Details about the code share flights along with the SEGMENT and CARRIER to which the flight belongs.

COMPENSATORY EARNING

Base

Specifies what the airline company awards, as points to customer as compensation for baggage lost or for a complaint.

COMPENSATORY REASON

Lookup

Lookup for the reason why compensatory points are awarded to a customer.

COMPLAIN ADVICE

Base

Defines a complaint or advice from customer, it is a subtype of PARTY INTERACTION THREAD.

COMPLAIN CLASS

Lookup

Lookup for the level of the complaint. For example:

HIGH

NORMAL

COMPLAIN TYPE

Lookup

Lookup for the complaint type. For example:

Service complaint

Baggage lost complaint

CUSTOMER LIFE TIME VALUE SUPPORT VECTOR MACHINE FACTOR

Derived

Represents Support Vector Machine (SVM) factors of attributes of customers, derived from customer life time value support vector machine mining model.

CUSTOMER LOYALTY DECISION TREE RULES

Derived

Represents Decision Tree rules, derived from customer loyalty decision tree mining model.

CUSTOMER LOYALTY SUPPORT VECTOR MACHINE FACTOR

Derived

Represents Support Vector Machine (SVM) factors of attributes of customers, derived from customer loyalty support vector machine mining model.

CUSTOMER MINING

Derived

Represents results of customer related mining models on latest customer data.

CUSTOMER RECENCY FREQUENCY MONETARY PROFITABILITY SCORE

Derived

Represents customers recency, frequency, monetary, and profitability score at month level.

CUSTOMER SEGMENTATION

Reference

Represents details of customer segments such as profile, support record count, dispersion, and so on.

CUSTOMER SEGMENTATION DETAILS

Reference

Provides details of customer segments, such as attributes and their values of customers in a segment. The segments are obtained from segmentation mining model.

CUSTOMER SURVEY

Derived

Specifies the daily summary data about customer survey result.

DAILY CUSTOMER SURVEY

Aggregate

Specifies the daily summary data about customer survey result.

DAILY BOOKING FACT

Aggregate

Defines the number of BOOKINGs, confirmed, canceled, ticketed, and so on, for a particular BOOKING date and SEGMENT departure date. The granularity of the fact is at a current date. All the bookings, confirmations, waitlisted information are calculated based on the fact that they are done on the current date.

DAILY CALL CENTER PERFORMANCE

Aggregate

Specifies the daily performance summary data about call center.

DAILY LOYALTY ACCOUNT

Aggregate

Specifies the daily summary data about loyalty account (for a FREQUENT FLYER).

DAILY LOYALTY ACCOUNT BOOKING

Aggregate

Specifies the daily summary data about loyalty account booking (for a FREQUENT FLYER).

DAILY FLIGHT DETAILS

Aggregate

Specifies the daily summary data about FLIGHT details.

DIRECT EARNING

Base

Earn points from flying with this airline s flight.

EARNING EVENT

Base

This event records all the point earnings of loyalty account.

FARE ELEMENT

Reference

This entity specifies the fare element details of the BOOKING and the TSM.

FLIGHT

Reference

Information about the FLIGHT is stored. For example the CARRIER which it belongs to or if there is an alpha suffix.

FLIGHT CHANGE

Base

Subtype of PARTY INTERACTION THREAD, about flight change or cancel.

FLIGHT DETAILS FACT

Derived

Provides information about LEG and SEGMENT of a particular flight. The airport and the aircraft information is at the LEG level.

FLIGHT SCHEDULE

Base

Information about schedule of the flight from the FLD system. Provides, on a daily basis, what are the FLIGHTs and how each FLIGHTs SEGMENTs and LEG and what are their expected departure and arrival time at the LEG level.

FREQUENT FLIER BOOKING FACT APPLY

Mining

Represents customer booking related facts for a period of months in the past.

FREQUENT FLIER BOOKING FACT SOURCE

Mining

Represents customer booking related facts for a period of months in the past.

FREQUENT FLIER CUSTOMER LIFE TIME VALUE APPLY

Mining

Represents customer life time value prediction mining model.

FREQUENT FLIER CUSTOMER LIFE TIME VALUE SOURCE

Mining

Represents customer life time value prediction mining model can be applied to predict the life time value of customers.

FREQUENT FLIER CUSTOMER LOYALTY APPLY

Mining

Specifies customer loyalty prediction mining model can be applied to predict the loyalty of customers.

FREQUENT FLIER CUSTOMER LOYALTY SOURCE

Mining

Provides source information for customer loyalty prediction mining model.

FREQUENT FLIER CUSTOMER PROFILE APPLY

Mining

Represents customer segmentation mining model can be applied.

FREQUENT FLIER CUSTOMER PROFILE SOURCE

Mining

Represents the source for customer segmentation mining model.

FREQUENT FLIER LOYALTY ACCOUNT BALANCE APPLY

Mining

Represents customer loyalty account balance details for the last number of months.

FREQUENT FLIER LOYALTY ACCOUNT BALANCE SOURCE

Mining

Represents customer loyalty account balance details for a period of months in the past.

FREQUENT FLIER PREDICTION APPLY

Mining

Represents non-frequent flier passengers demographic and BOOKING details. Frequent flier prediction among non-ffp mining model can be applied to predict frequent fliers among non-frequent flier passengers.

FREQUENT FLIER PREDICTION DECISION TREE RULES

Derived

Represents Decision Tree (DT) rules, derived from frequent flier prediction decision tree mining model.

FREQUENT FLIER PREDICTION SOURCE

Mining

Represents non-frequent flier passengers demographic and BOOKING details for a period months. Represents frequent flier prediction among non-frequent flier passengers mining model.

FREQUENT FLIER PREDICTION SUPPORT VECTOR MACHINE FACTOR

Derived

Provides SVM factors for attributes of non-frequent flier passengers. Those SVM factors can be derived from frequent flier prediction support vector machine mining model. SVM factor is a numeric value, which quantifies the importance of attribute in predicting the target.

FREQUENT FLYER

Reference

Frequent Flyer is an individual, whose frequency of usage of the airline is higher than normal passengers. Entity represents information about the frequent flyer. For example:

Membership level

Start date

Airline

GROUPING

Reference

Grouping information required to determine the connecting flight. The grouping types can be marriages or physical connection.

Table 2-7 H to P Entity Descriptions

Entity Name
Type
Description

HOTEL BOOKING

Base

Represents hotel booking information.

INFLIGHT MEAL

Reference

The types of meals given during the flight. For example:

VGML - Vegetarian Meal

INTERACTION REASON

Lookup

Lookup for the reason of the interaction thread. For example:

Baggage lost

Change flight

INTERACTION RESULT

Lookup

Lookup for result of response received from customer interaction. For example:

Satisfy

Dissatisfy

INTERACTION RESULT TYPE

Lookup

Lookup for type of response received from customer interaction. For example:

Showed Interest without Decision

Offer accepted

Never call again

LEG

Reference

Leg is an operational term and means the physical operation between a departure station and the next arrival station. CARRIERs fly aircraft on Legs. This entity represents the attributes of the leg. For example:

Terminal

Board point

Off point city

LETTER TYPE

Lookup

Lookup for type of letter sent to customer according to the content and purpose. For example:

Direct Marketing

Legal Letter

Contract Confirmation letter (Welcome)

LOYALTY ACCOUNT

Reference

Typically, airline customers enrolled in the program accumulate frequent flyer miles (kilometers, points, segments) corresponding to the distance flown on that airline or its partners. Customers can acquire points on flights or by some other means. The acquired points can be redeemed for free air travel; for other goods or services; or for increased benefits such as travel class upgrades, airport lounge access, or priority bookings.

LOYALTY ACCOUNT BALANCE HISTORY

Base

The history of all the changes of one account. Including the earnings, redemption and expiration. Entity contains the current and historical balances of an account.

LOYALTY ACCOUNT BALANCE HISTORY

Derived

The daily summary of the LOYALTY ACCOUNT details.

LOYALTY ACCOUNT LEVEL HISTORY

Derived

The history of changes in the level of one LOYALTY ACCOUNT.

LOYALTY ACCOUNT LEVEL HISTORY

Base

The history of changes in the level of one LOYALTY ACCOUNT.

LOYALTY CONVERSION

Base

One airline can have several loyalty programs, customer may change their

from one program to another program.

LOYALTY LEVEL

Reference

There are different levels in one loyalty program. For example:

Bronze

Silver

Gold

LOYALTY POINTS EXPIRE

Base

Airline may have a points expiration policy. The points expire after a certain period of time the points in the account will expire.

LOYALTY PROGRAM

Base

Structured marketing efforts that reward, and therefore encourage loyal buying behavior.

LOYALTY PROGRAM

Derived

Structured marketing efforts that reward, and therefore encourage loyal buying behavior in derived layer.

NON FREQUENT FLIER MINING

Derived

Represents apply results of non-frequent flier related mining models on non-frequent fliers latest data.

ODT ACCOUNT

Reference

The ODT account tracks the financial or services interactions of a customer with the airline. Once set up, the customer can use the account to do self service at airlines Website or terminal. In this case normally the ODT account is protected by a password.

OPTION

Reference

Information about the message queues sent to a different office which holds different information about the BOOKING.

PARTNER EARNING

Base

Earn points from a partner.

PARTY

Reference

Any individual or organization of interest to the enterprise.

PARTY INTERACTION

Base

Specifies all interactions or communications with the customer. The interactions include:

Faults

Inbound and outbound telemarketing

Direct mail

SMS

Email

Service calls

Debt collection

Complaints

PARTY INTERACTION CALL

Base

Subtype of PARTY INTERACTION which represents all phone call interactions from the customer with details information including: holding, queuing, interaction time, run by the Automated Voice Response - AVR - or not.

PARTY INTERACTION EMAIL

Base

Subtype of PARTY INTERACTION, which represents the email interaction from customers.

PARTY INTERACTION FAX

Base

Subtype of PARTY INTERACTION, which represents the FAX interaction from customers.

PARTY INTERACTION ITEM

Base

The interaction items in each PARTY INTERACTION event. For example, in one party interaction event: customer call to the call center there can be several party interaction items:

Change flight A to B

Change flight C to D.

Complain about food on flight E.

PARTY INTERACTION ITEM STATUS

Lookup

Documents the various states an interaction with a customer may be in. For example:

Planned

In-progress

Executed

Closed

PARTY INTERACTION LETTER

Base

Subtype of PARTY INTERACTION, which represents the interaction with customer through letter.

PARTY INTERACTION SMS

Base

Subtype of PARTY INTERACTION, which represents the SMS interaction from customers.

PARTY INTERACTION THREAD

Base

If customer makes multiple calls to complain about same issue, those calls are grouped into single thread.

PARTY INTERACTION VISIT

Base

Subtype of PARTY INTERACTION, which represents the visit interaction from customers.

PARTY STATUS

Lookup

The status of different types of party.

PASSENGER CONTACT

Reference

This is an operational layer entity stores the contact information of the passenger in the BOOKING.

PASSENGER COUNTRY ADDRESS INFORMATION

Reference

Essential documents about the passenger. For example:

Country

State

Zip

PASSENGER NAME RECORD

Base

The complete details of a passenger's BOOKING, including itinerary, contact details, and special requests. A PASSENGER NAME RECORD is uniquely identified by a record locator. It stores RLOC and the offices which issues, owns and updates the PASSENGER NAME RECORD.

PASSENGER NAME RECORD

Derived

The complete details of a passenger's BOOKING, including itinerary, contact details, and special requests. A Passenger Name Record (PNR) is uniquely identified by a record locator. It stores RLOC and the offices which issues, owns and updates the PASSENGER NAME RECORD.

PASSENGER NAME RECORD TYPE

Lookup

Lookup for the type of PASSENGER NAME RECORD.

PASSENGER VISA INFORMATION

Reference

Visa details of the passenger.

PDI

Base

Passenger departure information.

PDI CHANNEL

Reference

Check-in channel origins. Acceptance channel types can be Front-End, KSK for Kiosk, MBL for Mobile check-in channel origin. For example:

A for airline (check-in agent)

S for Self-Service

PDI CHARACTERISTIC

Reference

Characteristics of the PDI.

POINT OF SALE GDS OFFICE

Reference

This entity stores to cater to a particular condition used to interpret the office.

PNR PARENT CHILD RELATIONSHIP

Reference

Parent child relationship of the PASSENGER NAME RECORD and gives details about the split PASSENGER NAME RECORDs.

Table 2-8 R to Z Entity Descriptions

Entity Name
Type
Description

SALES CHANNEL

Reference

Sales channel or alternatively called booking channel is derived from the BOOKING OFFICE which gives us the channel from which the BOOKING is performed.

SEAT

Reference

Passenger name of the seat number and seat status for the BOOKING.

SEGMENT

Reference

Segment is a commercial term and means a portion of a journey between boarding and disembarkation points. A Segment may cover one or more LEGs. CARRIERs publish schedules of segments and publish availability for each segment. Passengers reserve segments in a BOOKING. The Segment provides details such as board point airport and off-point airport.

SEGMENT SCHEDULE

Base

Stores the details of the date and time that a CARRIER has scheduled to the market.

SERVICE

Reference

The type of the postal service. For example:

Ordinary mail

Express

SETTING CUSTOMER DECISION TREE

Mining Support

Represents settings for Decision Tree algorithm.

SETTING CUSTOMER SUPPORT VECTOR MACHINE

Mining Support

Represents settings for Support Vector Machine (SVM) algorithm.

SETTING PROFILE KMEANS

Mining Support

Represents settings for K-means clustering algorithm.

SETTING USER ALL

Mining Support

Represents user settings.

SMS AGENT

Reference

Stores the corporate customer information.

SMS CUSTOMER

Reference

Stores the corporate customer information.

STATION

Reference

This entity stores the co-ordinates of a city (in hierarchy of a region). For example:

Latitude

Degrees

TAS

Base

Represents travel agency service related information.

TICKET

Base

Ticket means a document entitled "Passenger Ticket and Baggage Check" is issued by or on behalf of a CARRIER and includes the Conditions of Contract and notices and the Flight Coupons and Passenger Coupons contained therein. The ticket stores the ticket number and the issuing office for the ticket.

TICKET

Derived

Ticket means a document entitled "Passenger Ticket and Baggage Check" issued by or on behalf of a CARRIER and includes the Conditions of Contract and notices and the Flight Coupons and Passenger Coupons contained therein. It stores the ticket number and the issuing office of the ticket.

TICKET COUPON

Reference

Coupon means either a Flight Coupon or a Passenger Coupon. When used alone, it usually refers to a Flight Coupon. Stores details about the coupons.

TICKET DELIVERY ARRANGEMENT

Base

The ticket delivery arrangement for the TICKET. For example:

Queue number

Delivery system

TOUR

Base

Represents tour and tour related information.

TRAFFIC CATEGORY

Reference

Traffic Category is a term used for the purposes of categorization and reporting on Route Profitability to categorize the flights into:

Atlantic Scheduled Flights

Atlantic Ad-hoc Flights

European Scheduled Flights

European Ad-hoc Flights

Near-East Scheduled Flights

Near-East Ad-hoc Flights

Domestic Flights

Far East Flights

Traffic category is used in combination with Traffic Area/Traffic Type for this purpose. In CADS, this categorization is split into two categorizations: Traffic Flight Type and Route Hierarchy Level 1. It stores the detailed information about the traffic category.

TRANSFER EARNING

Base

Points are transferred from one account to another.

TSM

Reference

The TSM is a pricing record associated to one passenger only, the one the MD PASSENGER NAME RECORD element is associated to. There is a TSM for each type of MD PASSENGER NAME RECORD element, composed of common TSM attributes, presented in this class, and specific ones (presented in class TSMMCO, TSMSVC, and TSMXSB). Stores details of the TSM.

TSM EXCESS BAGGAGE

Reference

This is a subset of TSM which stores the excess baggage charge details of the passenger of the TSM. This corresponds to the description of the charge for excess baggage. Stores information about the pricing carrier, price routing department, weight value, weight piece currency of the excess baggage.

TSM MCO

Reference

This is subset of TSM which stores the miscellaneous charge order of the TSM. Stores the details of the MCO. For example:

Endorsement restrictions

Tour code

TSM PASSENGER

Reference

Passenger personal information associated with a TSM.

TSM PRICE

Reference

Information about the fares and taxes, depending on the TSM type.

TSM ROUTE

Reference

The routes of TSM mainly the CARRIER from city to city and stop over indicator.

TSM SERVICE

Reference

This is a subset of TSM which stores the service fee for the TSM. Stores the details of Service Free (SVC). For example:

Remarks

Presento

Presentat

VEHICLE

Reference

Details of the Vehicle which can be an aircraft, bus, ship, rail, and so on.

VIP PASSENGER INFORMATION

Reference

Information whether a passenger of the BOOKING is a VIP passenger.

Logical Data Model Dimensions Dictionary

Table 2-9 lists the logical data model dimension entities, in alphabetical order.

Table 2-9 Logical Data Model Dimensions

Entity Name
Type
Description

ACCOUNT

Dimension

The account number and the cost center associated with each BOOKING.

AIRCRAFT TYPE

Dimension

The type of Aircraft Type. For example Boeing 737.

AIRCRAFT VERSION

Dimension

Information about the Aircraft Type. For example Aircraft type is Boeing 737. Aircraft version for Boeing 737 is 800.

AIRPORT

Dimension

Airport means an IATA recognized location that serves as an Origin or Destination of one or more flights. Details of the Airport. For example:

Country

City

Region

BOOKING CLASS TYPE

Dimension

The booking class hierarchy information for the BOOKING. The booking class values can be A to Z (that is 26 in number).

BOOKING OFFICE

Dimension

Designator for a Travel Agent or Airline office as designated by IATA, a Global Distribution System (GDS), or an Airline.

BOOKING PASSENGER

Dimension

Passenger information of the BOOKING. For example:

Last name

First name

Gender

One booking can have two passenger only if there is an unseated infant.

BOOKING TST

Dimension

This is a Transitional Store Ticket (TST) which gets generated when the booking is done. This TST can be reused for other bookings having similar parameters. This determines the fare of the booking. A booking can have two TST only if the passenger has an unseated infant.

CALENDAR

Dimension

This is a global entity which stores date hierarchy with a granularity as date and then gives week, month, quarter, and year.

CARRIER

Dimension

This entity stores the details about the carrier, such as carrier code and description.

CITYPAIRS

Dimension

Specifies the city pairs as provided by the source system.

CORPORATE CUSTOMER

Dimension

The details for the corporate customer. For example:

Name

Location

Customer division

COUNTRY

Dimension

This is a global entity stores the different countries and their related attributes.

CURRENCY

Dimension

Currencies used for transactions in different countries.

FARE TYPE

Dimension

Fare Type means a designator that is used to Categorize Fares. For example:

APEX

PEX

IT

It stores booking class fare types.

FLIGHT

Dimension

Information about the flight is stored. For example the carrier which it belongs to or if there is an alpha suffix associated. Each flight has a number and carrier associated and is designated to fly in a particular schedule attached.

FREQUENT FLYER

Dimension

Frequent Flyer is an individual, who frequency of usage of the airline is higher than normal passengers. It stores information about the frequent flyer. For example:

Membership level

Start date

Airline

GEOAREAS

Dimension

Specifies the GEOAREAS as assigned by the business.

GEOGRAPHY

Dimension

This is a type of dimension with a granularity of city. It has country, continent, and so on as other levels of hierarchy.

INTERACTION REASON

Dimension

The reason for the interaction thread. For example:

Baggage lost

Change flight

INTERACTION RESULT

Dimension

Result of response received from customer interaction. For example:

Satisfy

Dissatisfy

LEG

Dimension

Leg is an operational term and means the physical operation between a departure station and the next arrival station. CARRIERs fly Aircraft on Legs. It stores the attributes of the leg. For example:

Terminal

Board point

Off point city

LOYALTY LEVEL

Dimension

Different levels in a loyalty program.

MARKETAREAS

Dimension

Market Area is a term used for grouping Operational City Pairs for REKA reporting. It stores the attributes related to market areas.

PDI CHANNEL

Dimension

Check-in channel origins. Acceptance channel types can be Front-End, KSK for Kiosk, MBL for Mobile check-in channel origin. For example:

A for airline (check-in agent)

S for Self-Service

ROUTES

Dimension

Route means a number of flights that carry the same Flight Number. For example: 831 HEL-LHR. Only one Flight operates on a Route on any given day.

For direct flights each Route covers only one LEG (outbound or inbound). For multi-leg out-and-return flights each Route covers all legs of each direction (For example: HEL-BKK-SIN). For triangular flights each Route can either cover the whole triangle (For example: HEL-TXL-HAM-HEL), or part of it.

For example: HEL-OUL-RVN part of HEL-OUL-RVN-HEL)

ROUTEPAIRS

Dimension

Route Pair means a grouping of Routes. It is a synonym for Route Hierarchy Level 5.

Usually a Route Pair is the combination of two Route Numbers in both Directions, but sometimes not. For example: Route Pair 0152/0157/0158 MOW contains Routes 0152, 0157 and 0158. For multi-leg out-and-return flights the Route Pair is named after the end stop of the flight (0097/0098 SIN for 0097 HEL-BKK-SIN).

For triangular flights the Route Pair can either be named after the whole Journey (0439/0440 OUL/RVN for 0439 HEL-OUL-RVN), or only the first stop (0911/0912 BER for 0911 HEL-TXL-HAM-HEL).

SALES CHANNEL

Dimension

Sales channel or alternatively called booking channel is derived from the office which gives us the channel from which the booking is done

SEGMENT

Dimension

Segment is a commercial term and means a portion of a journey between boarding and disembarkation points. A Segment may cover one or more LEG CARRIERs publish schedules of segments and publish availability for them. Passengers reserve segments on a Booking. It stores segment details like the board point airports and off-point airports.

SEGMENT PAIR

Dimension

Segment Pair is a specific term which means board and off points identified by the business are logically grouped and used for analysis of booking between these points. For example HELBOMVV, that is Helsinki Bombay, vice versa.

SERVICE

Dimension

The services provided by the airline company, services are grouped by service type. For example:

Schedule / Itinerary

Reservation&TktCheck-In

Boarding

Lounge

SPECIAL SERVICE REQUEST

Dimension

The Special Service Request (SSR) is a request to an airline for services or amenities other than standard, such as wheelchair usage, meals for special diets, and so forth. The Special Service Request captures the information of the history and current service request information added, deleted from the source system.

TIME

Dimension

This is a global dimension which stores the details in the granularity of minutes which rolls up to hour.

TRAFFIC CATEGORY

Dimension

Traffic Category is a term used for the purposes of categorization and reporting on Route Profitability to categorize the flights into:

Atlantic Scheduled Flights

Atlantic Ad-hoc Flights

European Scheduled Flights

European Ad-hoc Flights

Near-East Scheduled Flights

Near-East Ad-hoc Flights

Domestic Flights

Far East Flights

It is used in combination with Traffic Area/Traffic Type for this purpose. In CADS, this categorization is split into two categorizations: Traffic Flight Type and Route Hierarchy Level 1. It stores the detailed information about the traffic category.

3 Oracle Airlines Data Model Physical Data Model

This chapter provides information about the physical data model of Oracle Airlines Data Model.

This chapter includes the following sections:

Introduction to Oracle Airlines Data Model Physical Data Model

Reference Tables

Base Tables

Derived Tables

Aggregate Tables

Dimension Tables

Lookup Tables

Mining Tables

Database Sequences

Metadata Tables

Oracle Airlines Data Model OLAP Cube MV, Cube View

Introduction to Oracle Airlines Data Model Physical Data Model

The Physical Data Model of the Oracle Airlines Data Model is the physical manifestation of the logical data model into database tables and relationships (or foreign key constraints). Partitions and Materialized Views have been added to aid performance.

Important:

Do not make changes to the schemas as such changes are not supported.

Table 3-1 shows the table name prefix conventions. When you examine the predefined physical model, keep in mind the naming conventions shown in Table 3-1 that use DW (Data Warehouse) prefixes to identify the types of tables and views.

Table 3-1 Table Name Prefix and Suffix Conventions

Prefix
Description

CB$

Materialized view of an OLAP cube. This materialized view is automatically created by the OLAP server.

Note: Do not report or query against this object. Instead access the corresponding _VIEW object.

DM_

Data Mining Settings

DMV_

Materialized views used for as the source data of data mining model

DWA_

Aggregate tables

DWB_

Base transaction data (3NF) tables

DWC_

Control tables

DWD_

Derived table (including data mining result tables)

DWL_

Lookup tables

DWM_

Dimension tables in an access layer fact table (that is, for a DWD_ or a DWA_ table)

DWL_

Lookup table

DWR_

Reference data tables used as dimension tables in a foundation layer fact table (that is, for a DWB_ table)

DWV_

Relational view of time dimension

_H

"Classic" data warehouse table that is used to store both the most recent data and the historical data of a certain entity. For more information, see Oracle Airlines Data Model Implementation and Operations Guide.

_VIEW

Suffix specifies relational views of OLAP cubes, dimensions, or hierarchies.

Reference Tables

In the Oracle Airlines Data Model foundation layer, DWR_ tables (also known as reference tables) act as dimension tables to the base (DWB_ ) tables.

Table 3-2 lists the Reference tables in Oracle Airlines Data Model.

Table 3-2 Reference Tables

Table Name
Description and More information

DWR_ACCT

ACCOUNT

DWR_ACCT_H

ACCOUNT HISTORY

DWR_AIP

AIRPORT

DWR_AIP_H

AIRPORT HISTORY

DWR_AWRD_VCHR

AWARD VOUCHER

DWR_AWRD_VCHR_H

AWARD VOUCHER HISTORY

DWR_BKG_CAMPN

BOOKING CAMPAIGN

DWR_BKG_CAMPN_H

BOOKING CAMPAIGN HISTORY

DWR_BKG_OFF

BOOKING OFFICE

DWR_BKG_OFF_H

BOOKING OFFICE HISTORY

DWR_BKG_OFF_USR

BOOKING OFFICE USER

DWR_BKG_OFF_USR_H

BOOKING OFFICE USER HISTORY

DWR_BKG_PAX

BOOKING PASSENGER

DWR_BKG_PAX_H

BOOKING PASSENGER HISTORY

DWR_BKG_PAX_DOC_INFO

BOOKING PASSENGER DOCUMENT INFORMATION

DWR_BKG_PAX_DOC_INFO_H

BOOKING PASSENGER DOCUMENT INFORMATION HISTORY

DWR_BKG_PROD

BOOKING PRODUCT

DWR_BKG_PROD_H

BOOKING PRODUCT HISTORY

DWR_BKG_SEAT_PREF

BOOKING SEAT PREFERENCE

DWR_BKG_SEAT_PREF_H

BOOKING SEAT PREFERENCE HISTORY

DWR_BKG_SERS

BOOKING SERIES

DWR_BKG_SERS_H

BOOKING SERIES HISTORY

DWR_BKG_SSR_BRDG

BOOKING SSR BRDG

DWR_BKG_SSR_BRDG_H

BOOKING SSR BRIDGE HISTORY

DWR_BKG_TST

BOOKING TRANSITIONAL STORE TICKET

DWR_BKG_TST_H

BOOKING TRANSITIONAL STORE TICKET HISTORY

DWR_BKG_TST_PRC

BOOKING TST PRICE

DWR_BKG_TST_PRC_H

BOOKING TRANSITIONAL STORE TICKET PRICE HISTORY

DWR_BKG_TST_SEG

BOOKING TST SEGMENT

DWR_BKG_TST_SEG_H

BOOKING TRANSITIONAL STORE TICKET SEGMENT HISTORY

DWR_BNK_CARD

BANK CARD

DWR_BNK_CARD_H

BANK CARD HISTORY

DWR_CARR

CARRIER

DWR_CARR_H

CARRIER HISTORY

DWR_CDSH

CODESHARE

DWR_CDSH_H

CODESHARE HISTORY

DWR_CDSH_BRDG

CODESHARE BRIDGE

DWR_CDSH_BRDG_H

CODESHARE BRIDGE HISTORY

DWR_CHKIN_BAG_GRP

CHECKIN BAGGAGE GROUP

DWR_CHKIN_BAG_GRP_H

CHECKING BAGGAGE GROUP HISTORY

DWR_CHKIN_INDV_BAG

CHECKIN INDIVIDUAL BAGGAGE

DWR_CHKIN_INDV_BAG_H

CHECKIN INDIVIDUAL BAGGAGE HISTORY

DWR_CUST_SGMNT

CUSTOMER SEGMENTATION

DWR_CUST_SGMNT_DTL

CUSTOMER SEGMENTATION DETAILS

DWR_FLT

FLIGHT

DWR_FLT_H

FLIGHT HISTORY

DWR_FRQTFLR

FREQUENT FLYER

DWR_FRQTFLR_H

FREQUENT FLYER HISTORY

DWR_GRPNG

GROUPING

DWR_GRPNG_H

GROUPING HISTORY

DWR_INFLT_MEAL

INFLIGHT MEAL

DWR_INFLT_MEAL_H

INFLIGHT MEAL HISTORY

DWR_LEG

LEG

DWR_LEG_H

LEG HISTORY

DWR_LYLTY_ACCT

LOYALTY ACCOUNT

DWR_LYLTY_ACCT_H

LOYALTY ACCOUNT HISTORY

DWR_LYLTY_LVL

LOYALTY LEVEL

DWR_LYLTY_LVL_H

LOYALTY LEVEL HISTORY

DWR_ODT_ACCT

ODT ACCOUNT

DWR_ODT_ACCT_H

ODT ACCOUNT HISTORY

DWR_OPTN

OPTION

DWR_OPTN_H

OPTION HISTORY

DWR_PAX_CNTCT

PASSENGER CONTACT

DWR_PAX_CNTCT_H

PASSENGER CONTACT HISTORY

DWR_PAX_CTRY_ADDR_INFO

PASSENGER COUNTRY ADDRESS INFORMATION

DWR_PAX_CTRY_ADDR_INFO_H

PASSENGER COUNTRY ADDRESS INFORMATION HISTORY

DWR_PAX_VISA_INFO

PASSENGER VISA INFORMATION

DWR_PAX_VISA_INFO_H

PASSENGER VISA INFORMATION HISTORY

DWR_PDI_CHRSTIC

PDI CHARACTERISTIC

DWR_PDI_CHRSTIC_H

PDI CHARACTERISTIC HISTORY

DWR_PNR_PARENT_CHILD_RELSHP

PNR PARENT CHILD RELATIONSHIP

DWR_PNR_PARENT_CHILD_RELSHP_H

PNR PARENT CHILD RELATIONSHIP HISTORY

DWR_POS_GDS_OFF

POINT OF SALE GDS OFFICE

DWR_POS_GDS_OFF_H

POINTOF SALE GDS OFFICE IDENTIFIER HISTORY

DWR_PRTY

PARTY

DWR_PRTY_H

PARTY HISTORY

DWR_SEAT

SEAT

DWR_SEAT_H

SEAT HISTORY

DWR_SEG

SEGMENT

DWR_SEG_H

SEGMENT HISTORY

DWR_SMS_AGNT

SMS AGENT

DWR_SMS_AGNT_H

SMS AGENT HISTORY

DWR_SMS_CUST

SMS CUSTOMER

DWR_SMS_CUST_H

SMS CUSTOMER HISTORY

DWR_STN

STATION

DWR_STN_H

STATION HISTORY

DWR_SVC

SERVICE

DWR_SVC_H

SERVICE HISTORY

DWR_TKT_CPN

TICKET COUPON

DWR_TKT_CPN_H

TICKET COUPON HISTORY

DWR_TSM

TSM

DWR_TSM_H

TSM HISTORY

DWR_TSM_PAX

TSM PASSENGER

DWR_TSM_PAX_H

TSM PASSENGER HISTORY

DWR_VHCL

VEHICLE

DWR_VHCL_H

VEHICLE HISTORY

DWR_VIP_PAX_INFO

VIP PASSENGER INFORMATION

DWR_VIP_PAX_INFO_H

VIP PASSENGER INFORMATION HISTORY

Base Tables

In Oracle Airlines Data Model, the base tables present the transaction data in 3NF. Base tables define atomic level transaction data. Data in the base tables support the derived and aggregate layers, and act as a source for Data Mining for advanced analysis.

Table 3-3 lists the Base tables in Oracle Airlines Data Model.

Table 3-3 Base Tables

Table Name
Description and More Information

DWB_ACCT_LVL_HIST

ACCOUNT LEVEL HISTORY

DWB_ACCT_LVL_HIST_H

ACCOUNT LEVEL HISTORY H

DWB_ACCT_XFER

ACCOUNT TRANSFER

DWB_ACCT_XFER_H

ACCOUNT TRANSFER HISTORY

DWB_AUX

AUX

DWB_BKG

BOOKING

DWB_BKG_H

BOOKING HISTORY

DWB_CHKIN

CHECKIN

DWB_CHKIN_H

CHECKIN HISTORY

DWB_CMNSTRY_ERNG

COMPENSATORY EARNING

DWB_CMNSTRY_ERNG_H

COMPENSATORY EARNING HISTORY

DWB_CMPL_ADVC

COMPLAIN ADVICE

DWB_CMPL_ADVC_H

COMPLAIN ADVICE HISTORY

DWB_CR_RNTL

CAR RENTAL

DWB_DIRCT_ERNG

DIRECT EARNING

DWB_DIRCT_ERNG_H

DIRECT EARNING HISTORY

DWB_ERNG_EVNT

EARNING EVENT

DWB_ERNG_EVNT_H

EARNING EVENT HISTORY

DWB_FLT_CHNG

FLIGHT CHANGE

DWB_FLT_CHNG_H

FLIGHT CHANGE HISTORY

DWB_FLT_SCHD

FLIGHT SCHEDULE

DWB_FLT_SCHD_H

FLIGHT SCHEDULE HISTORY

DWB_HTL_BKNG

HOTEL BOOKING

DWB_LYLTY_ACCT_BAL_HIST

LOYALTY ACCOUNT BALANCE HISTORY

DWB_LYLTY_ACCT_BAL_HIST_H

LOYALTY ACCOUNT BALANCE HISTORY H

DWB_LYLTY_ACCT_LVL_HIST

LOYALTY ACCOUNT LEVEL HISTORY

DWB_LYLTY_ACCT_LVL_HIST_H

LOYALTY ACCOUNT LEVEL HISTORY H

DWB_LYLTY_CONV

LOYALTY CONVERSION

DWB_LYLTY_CONV_H

LOYALTY CONVERSION HISTORY

DWB_LYLTY_PNTS_EXPR

LOYALTY POINTS EXPIRE

DWB_LYLTY_PNTS_EXPR_H

LOYALTY POINTS EXPIRE HISTORY

DWB_LYLTY_PRG

LOYALTY PROGRAM

DWB_LYLTY_PRG_H

LOYALTY PROGRAM HISTORY

DWB_PDI

PDI

DWB_PDI_H

PDI HISTORY

DWB_PNR

PASSENGER NAME RECORD

DWB_PNR_H

PASSENGER NAME RECORD HISTORY

DWB_PRTY_INTRATN

PARTY INTERACTION

DWB_PRTY_INTRATN_H

PARTY INTERACTION HISTORY

DWB_PRTY_INTRATN_CALL

PARTY INTERACTION CALL

DWB_PRTY_INTRATN_CALL_H

PARTY INTERACTION CALL HISTORY

DWB_PRTY_INTRATN_EML

PARTY INTERACTION EMAIL

DWB_PRTY_INTRATN_EML_H

PARTY INTERACTION EMAIL HISTORY

DWB_PRTY_INTRATN_FAX

PARTY INTERACTION FAX

DWB_PRTY_INTRATN_FAX_H

PARTY INTERACTION FAX HISTORY

DWB_PRTY_INTRATN_ITEM

PARTY INTERACTION ITEM

DWB_PRTY_INTRATN_ITEM_H

PARTY INTERACTION ITEM HISTORY

DWB_PRTY_INTRATN_LETR

PARTY INTERACTION LETTER

DWB_PRTY_INTRATN_LETR_H

PARTY INTERACTION LETTER HISTORY

DWB_PRTY_INTRATN_SMS

PARTY INTERACTION SMS

DWB_PRTY_INTRATN_SMS_H

PARTY INTERACTION SMS HISTORY

DWB_PRTY_INTRATN_THRD

PARTY INTERACTION THREAD

DWB_PRTY_INTRATN_THRD_H

PARTY INTERACTION THREAD HISTORY

DWB_PRTY_INTRATN_VST

PARTY INTERACTION VISIT

DWB_PRTY_INTRATN_VST_H

PARTY INTERACTION VISIT HISTORY

DWB_PTNR_ERNG

PARTNER EARNING

DWB_PTNR_ERNG_H

PARTNER EARNING HISTORY

DWB_SEG_SCHD

SEGMENT SCHEDULE

DWB_SEG_SCHD_H

SEGMENT SCHEDULE HISTORY

DWB_TAS

TAS

DWB_TKT

TICKET

DWB_TKT_H

TICKET HISTORY

DWB_TKT_DLVRY_ARNGMNT

TICKET DELIVERY ARRANGEMENT

DWB_TKT_DLVRY_ARNGMNT_H

TICKET DELIVERY ARANGMENT HISTORY

DWB_TOUR

TOUR

DWB_XFER_ERNG

TRANSFER EARNING

DWB_XFER_ERNG_H

TRANSFER EARNING HISTORY

Derived Tables

In Oracle Airlines Data Model, the Derived tables are tables that have as values the result of a non-aggregate calculation. There are two types of derived tables in the Oracle Airlines Data Model:

Tables that hold the results of a calculation.

Result tables for the data mining models.

Table 3-4 lists the Derived tables in Oracle Airlines Data Model.

Table 3-4 Derived Tables

Table Name
Description and More Information

DWD_BKG_FACT

BOOKING FACT

DWD_CALL_CNTR_PRFMNC

CALL CENTER PERFORMANCE

DWD_CHKIN_FACT

CHECKIN FACT

DWD_CUST_LTV_SVM_FACTOR

CUSTOMER LIFE TIME VALUE SUPPORT VECTOR MACHINE FACTOR

DWD_CUST_LYLTY_DT_RULES

CUSTOMER LOYALTY DECISION TREE RULES

DWD_CUST_LYLTY_SVM_FACTOR

CUSTOMER LOYALTY SUPPORT VECTOR MACHINE FACTOR

DWD_CUST_MNNG

CUSTOMER MINING

DWD_CUST_RFMP_SCR

CUSTOMER RECENCY FREQUENCY MONETARY PROFITABILITY SCORE

DWD_CUST_SRVY

CUSTOMER SURVEY

DWD_FFP_PRED_DT_RULES

FREQUENT FLIER PREDICTION DECISION TREE RULES

DWD_FFP_PRED_SVM_FACTOR

FREQUENT FLIER PREDICTION SUPPORT VECTOR MACHINE FACTOR

DWD_FLT_DETLS_FACT

FLIGHT DETAILS FACT

DWD_LYLTY_ACCT_BAL_HIST

LOYALTY ACCOUNT BALANCE HISTORY

DWD_LYLTY_ACCT_LVL_HIST

LOYALTY ACCOUNT LEVEL HISTORY

DWD_LYLTY_PRG

LOYALTY PROGRAM

DWD_NON_FFP_MNNG

NON FREQUENT FLIER MINING

DWD_PNR

PASSENGER NAME RECORD

DWD_TKT

TICKET

Aggregate Tables

In Oracle Airlines Data Model, the Aggregate tables are tables that aggregate or "roll up" the data to one level higher than a base or derived table. The aggregate tables provide a view of the data similar to the view provided by a fact table in a snowflake schema while the dimensions of that table are DWM_ tables.

Table 3-5 lists the Aggregate tables in Oracle Airlines Data Model.

Table 3-5 Aggregate Tables

Table Name
Description and More Information

DWA_BKG_DLY_INVT_SNPST

BOOKING DAILY INVENTORY SNAPSHOT

DWA_CHKIN_DLY_FACT

CHECKIN DAILY FACT

DWA_CUST_SRVY

CUSTOMER SURVEY

DWA_DLY_BKG_FACT

DAILY BOOKING FACT

DWA_DLY_CALL_CNTR_PRFMNC

DAILY CALL CENTER PERFORMANCE

DWA_DLY_FLT_DETLS

DAILY FLIGHT DETAILS

DWA_DLY_LYLTY_ACCT

DAILY LOYALTY ACCOUNT

DWA_DLY_LYLTY_ACCT_BKG

DAILY LOYALTY ACCOUNT BOOKING

Dimension Tables

In Oracle Airlines Data Model, the dimension (DWM_ ) tables typically represent dimensions which contain a business hierarchy and are present in the form of snowflake entities containing a table for each level of the hierarchy. This allows you to attach the appropriate set of reference tables for the multiple subject area and fact entities composed of differing granularity. For example, you can use the time dimension table DWM_CLNDR to query against a DAY level Passenger Name Record ( PNR) data such as DWD_PNR.

Table 3-6 lists the Dimension tables in Oracle Airlines Data Model.

Table 3-6 Dimension Tables

Table Name
Description and More Information

DWM_ACCT

ACCOUNT

DWM_ACFT_TYP

AIRCRAFT TYPE

DWM_ACFT_VER

AIRCRAFT VERSION

DWM_AIP

AIRPORT

DWM_BKG_CLS_TYP

BOOKING CLASS TYPE

DWM_BKG_OFF

BOOKING OFFICE

DWM_BKG_PAX

BOOKING PASSENGER

DWM_BKG_SSR

BOOKING SSR BRDG

DWM_BKG_TST

BOOKING TST

DWM_CARR

CARRIER

DWM_CITYPAIRS

CITYPAIRS

DWM_CLNDR

CALENDAR

DWM_CORP_CUST

CORPORATE CUSTOMER

DWM_CRCY

CURRENCY

DWM_CTRY

COUNTRY

DWM_FARE_TYP

FARE TYPE

DWM_FLT

FLIGHT

DWM_FRQTFLR

FREQUENT FLYER

DWM_GEOAREAS

GEOAREAS

DWM_GEOGRY

GEOGRAPHY

DWM_INTRATN_RSLT

INTERACTION RESULT

DWM_INTRATN_RSN

INTERACTION REASON

DWM_LEG

LEG

DWM_LYLTY_LVL

LOYALTY LEVEL

DWM_MKTAREAS

MARKETAREAS

DWM_PDI_CHNL

PDI CHANNEL

DWM_ROUTEPAIRS

ROUTEPAIRS

DWM_ROUTES

ROUTES

DWM_SALES_CHNL

SALES CHANNEL

DWM_SEG

SEGMENT

DWM_SEG_PAIR

SEGMENT PAIR

DWM_SSR

SPECIAL SERVICE REQUEST

DWM_SVC

SERVICE

DWM_TM

TIME

DWM_TRAF_CATG

TRAFFIC CATEGORY

Lookup Tables

In Oracle Airlines Data Model lookup tables contain the relatively static or descriptive data in the data warehouse. Lookup tables hold the descriptions for frequently used attributes. Using lookup entities saves space, as the referring fact table holds only a small key or code and foreign key, and Oracle Airlines Data Model stores the space consuming description in a lookup table and does not repeat the description in each transaction row in which it is referenced.

Table 3-7 lists the Lookup tables in Oracle Airlines Data Model.

Table 3-7 Lookup Tables

Table Name
Description and More Information

DWL_ACCT_LVL

ACCOUNT LEVEL

DWL_ACCT_LVL_H

ACCOUNT LEVEL HISTORY

DWL_ACCT_TYP

ACCOUNT TYPE

DWL_ACCT_TYP_H

ACCOUNT TYPE HISTORY

DWL_ACCT_XFER_RSN

ACCOUNT TRANSFER REASON

DWL_ACCT_XFER_RSN_H

ACCOUNT TRANSFER REASON HISTORY

DWL_ACFT_TYP

AIRCRAFT TYPE

DWL_ACFT_TYP_H

AIRCRAFT TYPE HISTORY

DWL_ACV

AIRCRAFT VERSION

DWL_ACV_H

AIRCRAFT VERSION HISTORY

DWL_BKG_CLS

BOOKING CLASS

DWL_BKG_CLS_H

BOOKING CLASS HISTORY

DWL_BKG_OTR_SVC

BOOKING OTHER SERVICE

DWL_BKG_OTR_SVC_H

BOOKING OTHER SERVICE HISTORY

DWL_BKG_RMRK

BOOKING REMARK

DWL_BKG_RMRK_H

BOOKING REMARK HISTORY

DWL_BKG_SSR

BOOKING SPECIAL SERVICE REQUEST

DWL_BKG_SSR_H

BOOKING SPECIAL SERVICE REQUEST HISTORY

DWL_BNK_CARD_TYP

BANK CARD TYPE

DWL_BNK_CARD_TYP_H

BANK CARD TYPE HISTORY

DWL_CARR_TYP

CARRIER TYPE

DWL_CARR_TYP_H

CARRIER TYPE HISTORY

DWL_CMNSTRY_RSN

COMPENSATORY REASON

DWL_CMNSTRY_RSN_H

COMPENSATORY REASON HISTORY

DWL_CMPL_CLS

COMPLAIN CLASS

DWL_CMPL_CLS_H

COMPLAIN CLASS HISTORY

DWL_CMPL_TYP

COMPLAIN TYPE

DWL_CMPL_TYP_H

COMPLAIN TYPE HISTORY

DWL_FARE_ELEM

FARE ELEMENT

DWL_FARE_ELEM_H

FARE ELEMENT HISTORY

DWL_INTRATN_RSLT

INTERACTION RESULT

DWL_INTRATN_RSLT_H

INTERACTION RESULT HISTORY

DWL_INTRATN_RSN

INTERACTION REASON

DWL_INTRATN_RSN_H

INTERACTION REASON HISTORY

DWL_LETR_TYP

LETTER TYPE

DWL_LETR_TYP_H

LETTER TYPE HISTORY

DWL_PDI_CHNL

PDI CHANNEL

DWL_PDI_CHNL_H

PDI CHANNEL HISTORY

DWL_PNR_TYP

PASSENGER NAME RECORD TYPE

DWL_PNR_TYP_H

PASSENGER NAME RECORD TYPE HISTORY

DWL_PRTY_INTRATN_ITEM_STS

PARTY INTERACTION ITEM STATUS

DWL_PRTY_INTRATN_ITEM_STS_H

PARTY INTERACTION ITEM STATUS HISTORY

DWL_PRTY_STS

PARTY STATUS

DWL_PRTY_STS_H

PARTY STATUS HISTORY

DWL_SALES_CHNL

SALES CHANNEL

DWL_SALES_CHNL_H

SALES CHANNEL HISTORY

DWL_TKT_DLVRY_ARNGMNT

TICKET DELIVERY ARRANGEMENT

DWL_TKT_DLVRY_ARNGMNT_H

TICKET DELIVERY ARRANGEMENT HISTORY

DWL_TRAF_CATG

TRAFFIC CATEGORY

DWL_TRAF_CATG_H

TRAFFIC CATEGORY HISTORY

DWL_TSM_MCO

TSM MCO

DWL_TSM_MCO_H

TSM MCO HISTORY

DWL_TSM_PRC

TSM PRICE

DWL_TSM_PRC_H

TSM PRICE HISTORY

DWL_TSM_ROUTE

TSM ROUTE

DWL_TSM_ROUTE_H

TSM ROUTE HISTORY

DWL_TSM_SVC

TSM SERVICE

DWL_TSM_SVC_H

TSM SERVICE HISTORY

DWL_TSM_XSB

TSM EXCESS BAGGAGE

DWL_TSM_XSB_H

TSM EXCESS BAGGAGE HISTORY

Mining Tables

Table 3-8 lists the Data Mining control and Data Mining settings tables in Oracle Airlines Data Model.

Table 3-8 Data Mining and Data Mining Settings Tables

Table Name
Description

DM_STNG_CUST_LTY_DT

SETTING CUSTOMER DECISION TREE

DM_STNG_CUST_LTY_SVM

SETTING CUSTOMER SUPPORT VECTOR MACHINE

DM_STNG_PROFILE_KMEANS

SETTING PROFILE KMEANS

DM_STNG_USER_ALL

SETTING USER ALL

DMV_BKG_FACT_APPLY

FREQUENT FLIER BOOKING FACT APPLY

DMV_BKG_FACT_SRC

FREQUENT FLIER BOOKING FACT SOURCE

DMV_CUST_LOYALTY_APPLY

FREQUENT FLIER CUSTOMER LOYALTY APPLY

DMV_CUST_LOYALTY_SRC

FREQUENT FLIER CUSTOMER LOYALTY SOURCE

DMV_CUST_LTV_APPLY

FREQUENT FLIER CUSTOMER LIFE TIME VALUE APPLY

DMV_CUST_LTV_SRC

FREQUENT FLIER CUSTOMER LIFE TIME VALUE SOURCE

DMV_CUST_PROFILE_APPLY

FREQUENT FLIER CUSTOMER PROFILE APPLY

DMV_CUST_PROFILE_SRC

FREQUENT FLIER CUSTOMER PROFILE SOURCE

DMV_FFP_PRED_APPLY

FREQUENT FLIER PREDICTION APPLY

DMV_FFP_PRED_SRC

FREQUENT FLIER PREDICTION SOURCE

DMV_LYLTY_ACCT_BAL_APPLY

FREQUENT FLIER LOYALTY ACCOUNT BALANCE APPLY

DMV_LYLTY_ACCT_BAL_SRC

FREQUENT FLIER LOYALTY ACCOUNT BALANCE SOURCE

Database Sequences

Table 3-9 lists the Sequence Names in Oracle Airlines Data Model.

Table 3-9 Database Sequences

Generates the Physical Key for Table Name
Sequence Name

DWA_CUST_SRVY

SEQ_DWA_CUST_SRVY

DWA_DLY_BKG_FACT

SEQ_DWA_DLY_BKG_FACT

DWA_DLY_CALL_CNTR_PERFM

SEQ_DWA_DLY_CALL_CNTR_PERFM

DWA_DLY_FLT_DETLS

SEQ_DWA_DLY_FLT_DETLS

DWA_DLY_LYLTY_ACCT

SEQ_DWA_DLY_LYLTY_ACCT

DWA_DLY_LYLTY_ACCT_BKG

SEQ_DWA_DLY_LYLTY_ACCT_BKG

DWD_CHKIN_FACT

SEQ_DWD_CHKIN_FACT

DWD_FLT_DETLS_FACT

SEQ_DWD_FLT_DETLS_FACT

DWM_SALES_CHNL

SEQ_DWM_SALES_CHNL

Metadata Tables

Table 3-10 lists the Metadata tables in Oracle Airlines Data Model.

Table 3-10 Metadata Tables

Table Name
Description

MD_ENTY

Stores data about logical data model entities, attributes, descriptions, and physical table names.

MD_KPI

Contains distinct presentation columns (KPI_NAME), dashboard folder name as subject area and computation logic for the KPI and subject area used in the RPD.

MD_PRG

Store all the information of the programs. Programs may be Packages used to store the data in Derived and Mining tables, Reports, Cubes or MV's, and so on.

MD_REF_ENTY_KPI

This table contains physical tables and columns used for the particular KPIs along with other columns used in KPI calculations.

Oracle Airlines Data Model OLAP Cube MV, Cube View

Table 3-11 shows the cube materialized views in oadm_sys schema.

Table 3-11 OLAP Cube Materialized Views in oadm_sys Schema

Cube Materialized View Name
OLAP Object Name
OLAP Object Type
More Information

CB$BKCLS_HBKCLS

BKCLS_HBKCLS

Dimension_Hierarchy

Booking Class: BKCLS

CB$BKOFC_HCNTYP

BKOFC_HCNTYP

Dimension_Hierarchy

Booking Office: BKOFC

CB$BKOFC_HBKOFC

BKOFC_HBKOFC

Dimension_Hierarchy

Booking Office: BKOFC

CB$BSDF

BSDF

Cube

Booking Segment Departure Fact Forecast Cube: BSDF_F

CB$BSDF_F

BSDF_F

Cube

Booking Segment Departure Fact Forecast Cube: BSDF_F

CB$CCPF

CCPF

Cube

Call Center Performance Fact Cube: CCPF

CB$CSDF

CSDF

Cube

Customer Survey Daily Fact Cube: CSDF

CB$FDDF

FDDF

Cube

Flight Detail Daily Fact Cube: FDDF

CB$GEO_HGEO

GEO_HGEO

Dimension_Hierarchy

Geography: GEO

CB$IRSN_HIRSN

IRSN_HIRSN

Dimension_Hierarchy

Interaction Reason: IRSN

CB$LOYLV_HLOYLY

LOYLV_HLOYLY

Dimension_Hierarchy

Loyalty Level: LOYLV

CB$LYAF

LYAF

Cube

Loyalty Account Fact Cube: LYAF

CB$LYBF

LYBF

Cube

Loyalty Booking Fact Cube: LYBF

CB$OPFLT_HOPFLT

OPFLT_HOPFLT

Dimension_Hierarchy

Operating Flight: OPFLT

CB$OPSMT_HOPSMT

OPSMT_HOPSMT

Dimension_Hierarchy

Operating Segment: OPSMT

CB$ROUTE_HROUTE

ROUTE_HROUTE

Dimension_Hierarchy

Route: ROUTE

CB$SRVC_HSRVC

SRVC

Dimension_Hierarchy

Service: SRVC

CB$TIME_HTIME

TIME_HTIME

Dimension_Hierarchy

Time: TIME

CB$TIME_HWEEK

TIME_HWEEK

Dimension_Hierarchy

Time: TIME

Table 3-12 shows the OLAP cube views in oadm_sys schema.

Table 3-12 OLAP Cube Views in oadm_sys schema

Cube View Name
OLAP Object Name
OLAP Object Type
More Information

BKCLS_HBKCLS_VIEW

BKCLS_HBKCLS

Hierarchy

Booking Class: BKCLS

BKCLS_VIEW

BKCLS

Dimension

Booking Class: BKCLS

BKOFC_HCNTYP_VIEW

BKOFC_HCNTYP

Hierarchy

Booking Office: BKOFC

BKOFC_HBKOFC_VIEW

BKOFC_HBKOFC

Hierarchy

Booking Office: BKOFC

BKOFC_VIEW

BKOFC

Dimension

Booking Office: BKOFC

BSDF_VIEW

BSDF

Cube

Booking Segment Departure Fact Cube: BSDF

BSDF_F_VIEW

BSDF_F

Cube

Booking Segment Departure Fact Forecast Cube: BSDF_F

CCPF_VIEW

CCPF

Cube

Call Center Performance Fact Cube: CCPF

CSDF_VIEW

CSDF

Cube

Customer Survey Daily Fact Cube: CSDF

FDDF_VIEW

FDDF

Cube

Flight Detail Daily Fact Cube: FDDF

GEO_HGEO_VIEW

GEO_HGEO

Hierarchy

Geography: GEO

GEO_VIEW

GEO

Dimension

Geography: GEO

IRSN_HIRSN_VIEW

IRSN_HIRSN

Hierarchy

Interaction Reason: IRSN

IRSN_VIEW

IRSN

Dimension

Interaction Reason: IRSN

LOYLV_HLOYLY_VIEW

LOYLV_HLOYLY

Hierarchy

Loyalty Level: LOYLV

LOYLV_VIEW

LOYLV

Dimension

Loyalty Level: LOYLV

LYAF_VIEW

LYAF

Cube

Loyalty Account Fact Cube: LYAF

LYBF_VIEW

LYBF

Cube

Loyalty Booking Fact Cube: LYBF

OPFLT_HOPFLT_VIEW

OPFLT_HOPFLT

Hierarchy

Operating Flight: OPFLT

OPFLT_VIEW

OPFLT

Dimension

Operating Flight: OPFLT

OPSMT_HOPSMT_VIEW

OPSMT_HOPSMT

Hierarchy

Operating Segment: OPSMT

OPSMT_VIEW

OPSMT

Dimension

Operating Segment: OPSMT

ROUTE_HROUTE_VIEW

ROUTE_HROUTE

Hierarchy

Route: ROUTE

ROUTE_VIEW

ROUTE

Dimension

Route: ROUTE

SRVC_HSRVC_VIEW

SRVC

Hierarchy

Service: SRVC

SRVC_VIEW

SRVC

Dimension

Service: SRVC

TIME_HTIME_VIEW

TIME_HTIME

Hierarchy

Time: TIME

TIME_HWEEK_VIEW

TIME_HWEEK

Hierarchy

Time: TIME

TIME_VIEW

TIME

Dimension

Time: TIME

4 Oracle Airlines Data Model Logical to Physical Mapping

This chapter provides a table listing the Oracle Airlines Data Model entities in the logical data model, and the physical database tables or views to which the logical entities have been implemented or "physicalized".

This chapter includes the following section:

Logical to Physical Mappings for Oracle Airlines Data Model

Logical to Physical Mappings for Oracle Airlines Data Model

Table 4-1 lists the Oracle Airlines Data Model entities in the logical data model, and the physical database tables or views to which the logical entities have been implemented or "physicalized".

Table 4-1 Entity Mapping Table: Logical to Physical Mapping

Entity
Table or View

ACCOUNT

DWM_ACCT

ACCOUNT

DWR_ACCT

ACCOUNT LEVEL

DWL_ACCT_LVL

ACCOUNT LEVEL HISTORY

DWB_ACCT_LVL_HIST

ACCOUNT TRANSFER

DWB_ACCT_XFER

ACCOUNT TRANSFER REASON

DWL_ACCT_XFER_RSN

ACCOUNT TYPE

DWL_ACCT_TYP

AIRCRAFT TYPE

DWL_ACFT_TYP

AIRCRAFT TYPE

DWM_ACFT_TYP

AIRCRAFT VERSION

DWL_ACV

AIRCRAFT VERSION

DWM_ACFT_VER

AIRPORT

DWR_AIP

AIRPORT

DWM_AIP

AUX

DWB_AUX

AWARD VOUCHER

DWR_AWRD_VCHR

BANK CARD

DWR_BNK_CARD

BANK CARD TYPE

DWL_BNK_CARD_TYP

BOOKING

DWB_BKG

BOOKING CAMPAIGN

DWR_BKG_CAMPN

BOOKING CLASS

DWL_BKG_CLS

BOOKING CLASS TYPE

DWM_BKG_CLS_TYP

BOOKING DAILY INVENTORY SNAPSHOT

DWA_BKG_DLY_INVT_SNPST

BOOKING FACT

DWD_BKG_FACT

BOOKING OFFICE

DWR_BKG_OFF

BOOKING OFFICE

DWM_BKG_OFF

BOOKING OFFICE USER

DWR_BKG_OFF_USR

BOOKING OTHER SERVICE

DWL_BKG_OTR_SVC

BOOKING PASSENGER

DWR_BKG_PAX

BOOKING PASSENGER

DWM_BKG_PAX

BOOKING PASSENGER DOCUMENT INFORMATION

DWR_BKG_PAX_DOC_INFO

BOOKING PRODUCT

DWR_BKG_PROD

BOOKING REMARK

DWL_BKG_RMRK

BOOKING SEAT PREFERENCE

DWR_BKG_SEAT_PREF

BOOKING SERIES

DWR_BKG_SERS

BOOKING SPECIAL SERVICE REQUEST

DWL_BKG_SSR

BOOKING SSR BRDG

DWR_BKG_SSR_BRDG

BOOKING SSR BRDG

DWM_BKG_SSR_BRDG

BOOKING TST

DWM_BKG_TST

BOOKING TRANSITIONAL STORE TICKET

DWR_BKG_TST

BOOKING TST PRICE

DWR_BKG_TST_PRC

BOOKING TST SEGMENT

DWR_BKG_TST_SEG

CALENDAR

DWM_CLNDR

CALL CENTER PERFORMANCE

DWD_CALL_CNTR_PRFMNC

CAR RENTAL

DWB_CR_RNTL

CARRIER

DWR_CARR

CARRIER

DWM_CARR

CARRIER TYPE

DWL_CARR_TYP

CHECKIN

DWB_CHKIN

CHECKIN BAGGAGE GROUP

DWR_CHKIN_BAG_GRP

CHECKIN DAILY FACT

DWA_CHKIN_DLY_FACT

CHECKIN FACT

DWD_CHKIN_FACT

CHECKIN INDIVIDUAL BAGGAGE

DWR_CHKIN_INDV_BAG

CITYPAIRS

DWM_CITYPAIRS

CODESHARE

DWR_CDSH

CODESHARE BRIDGE

DWR_CDSH_BRDG

COMPENSATORY EARNING

DWB_CMNSTRY_ERNG

COMPENSATORY REASON

DWL_CMNSTRY_RSN

COMPLAIN ADVICE

DWB_CMPL_ADVC

COMPLAIN CLASS

DWL_CMPL_CLS

COMPLAIN TYPE

DWL_CMPL_TYP

CORPORATE CUSTOMER

DWM_CORP_CUST

COUNTRY

DWM_CTRY

CURRENCY

DWM_CRCY

CUSTOMER LIFE TIME VALUE SUPPORT VECTOR MACHINE FACTOR

DWD_CUST_LTV_SVM_FACTOR

CUSTOMER LOYALTY DECISION TREE RULES

DWD_CUST_LYLTY_DT_RULES

CUSTOMER LOYALTY SUPPORT VECTOR MACHINE FACTOR

DWD_CUST_LYLTY_SVM_FACTOR

CUSTOMER MINING

DWD_CUST_MNNG

CUSTOMER RECENCY FREQUENCY MONETARY PROFITABILITY SCORE

DWD_CUST_RFMP_SCR

CUSTOMER SEGMENTATION

DWR_CUST_SGMNT

CUSTOMER SEGMENTATION DETAILS

DWR_CUST_SGMNT_DTL

CUSTOMER SURVEY

DWD_CUST_SRVY

CUSTOMER SURVEY

DWA_CUST_SRVY

DAILY BOOKING FACT

DWA_DLY_BKG_FACT

DAILY CALL CENTER PERFORMANCE

DWA_DLY_CALL_CNTR_PRFMNC

DAILY FLIGHT DETAILS

DWA_DLY_FLT_DETLS

DAILY LOYALTY ACCOUNT

DWA_DLY_LYLTY_ACCT

DAILY LOYALTY ACCOUNT BOOKING

DWA_DLY_LYLTY_ACCT_BKG

DIRECT EARNING

DWB_DIRCT_ERNG

EARNING EVENT

DWB_ERNG_EVNT

FARE ELEMENT

DWL_FARE_ELEM

FARE TYPE

DWM_FARE_TYP

FLIGHT

DWR_FLT

FLIGHT

DWM_FLT

FLIGHT CHANGE

DWB_FLT_CHNG

FLIGHT DETAILS FACT

DWD_FLT_DETLS_FACT

FLIGHT SCHEDULE

DWB_FLT_SCHD

FREQUENT FLIER BOOKING FACT APPLY

DMV_BKG_FACT_APPLY

FREQUENT FLIER BOOKING FACT SOURCE

DMV_BKG_FACT_SRC

FREQUENT FLIER CUSTOMER LIFE TIME VALUE APPLY

DMV_CUST_LTV_APPLY

FREQUENT FLIER CUSTOMER LIFE TIME VALUE SOURCE

DMV_CUST_LTV_SRC

FREQUENT FLIER CUSTOMER LOYALTY APPLY

DMV_CUST_LOYALTY_APPLY

FREQUENT FLIER CUSTOMER LOYALTY SOURCE

DMV_CUST_LOYALTY_SRC

FREQUENT FLIER CUSTOMER PROFILE APPLY

DMV_CUST_PROFILE_APPLY

FREQUENT FLIER CUSTOMER PROFILE SOURCE

DMV_CUST_PROFILE_SRC

FREQUENT FLIER LOYALTY ACCOUNT BALANCE APPLY

DMV_LYLTY_ACCT_BAL_APPLY

FREQUENT FLIER LOYALTY ACCOUNT BALANCE SOURCE

DMV_LYLTY_ACCT_BAL_SRC

FREQUENT FLIER PREDICTION APPLY

DMV_FFP_PRED_APPLY

FREQUENT FLIER PREDICTION DECISION TREE RULES

DWD_FFP_PRED_DT_RULES

FREQUENT FLIER PREDICTION SOURCE

DMV_FFP_PRED_SRC

FREQUENT FLIER PREDICTION SUPPORT VECTOR MACHINE FACTOR

DWD_FFP_PRED_SVM_FACTOR

FREQUENT FLYER

DWR_FRQTFLR

FREQUENT FLYER

DWM_FRQTFLR

GEOAREAS

DWM_GEOAREAS

GEOGRAPHY

DWM_GEOGRY

GROUPING

DWR_GRPNG

HOTEL BOOKING

DWB_HTL_BKNG

INFLIGHT MEAL

DWR_INFLT_MEAL

INTERACTION REASON

DWL_INTRATN_RSN

INTERACTION REASON

DWM_INTRATN_RSN

INTERACTION RESULT

DWL_INTRATN_RSLT

INTERACTION RESULT

DWM_INTRATN_RSLT

LEG

DWR_LEG

LEG

DWM_LEG

LETTER TYPE

DWL_LETR_TYP

LOYALTY ACCOUNT

DWR_LYLTY_ACCT

LOYALTY ACCOUNT BALANCE HISTORY

DWD_LYLTY_ACCT_BAL_HIST

LOYALTY ACCOUNT BALANCE HISTORY

DWB_LYLTY_ACCT_BAL_HIST

LOYALTY ACCOUNT LEVEL HISTORY

DWD_LYLTY_ACCT_LVL_HIST

LOYALTY ACCOUNT LEVEL HISTORY

DWB_LYLTY_ACCT_LVL_HIST

LOYALTY CONVERSION

DWB_LYLTY_CONV

LOYALTY LEVEL

DWM_LYLTY_LVL

LOYALTY LEVEL

DWR_LYLTY_LVL

LOYALTY POINTS EXPIRE

DWB_LYLTY_PNTS_EXPR

LOYALTY PROGRAM

DWD_LYLTY_PRG

LOYALTY PROGRAM

DWB_LYLTY_PRG

MARKETAREAS

DWM_MKTAREAS

NON FREQUENT FLIER MINING

DWD_NON_FFP_MNNG

ODT ACCOUNT

DWR_ODT_ACCT

OPTION

DWR_OPTN

PARTNER EARNING

DWB_PTNR_ERNG

PARTY

DWR_PRTY

PARTY INTERACTION

DWB_PRTY_INTRATN

PARTY INTERACTION CALL

DWB_PRTY_INTRATN_CALL

PARTY INTERACTION EMAIL

DWB_PRTY_INTRATN_EML

PARTY INTERACTION FAX

DWB_PRTY_INTRATN_FAX

PARTY INTERACTION ITEM

DWB_PRTY_INTRATN_ITEM

PARTY INTERACTION ITEM STATUS

DWL_PRTY_INTRATN_ITEM_STS

PARTY INTERACTION LETTER

DWB_PRTY_INTRATN_LETR

PARTY INTERACTION SMS

DWB_PRTY_INTRATN_SMS

PARTY INTERACTION THREAD

DWB_PRTY_INTRATN_THRD

PARTY INTERACTION VISIT

DWB_PRTY_INTRATN_VST

PARTY STATUS

DWL_PRTY_STS

PASSENGER CONTACT

DWR_PAX_CNTCT

PASSENGER COUNTRY ADDRESS INFORMATION

DWR_PAX_CTRY_ADDR_INFO

PASSENGER NAME RECORD

DWB_PNR

PASSENGER NAME RECORD

DWD_PNR

PASSENGER NAME RECORD TYPE

DWL_PNR_TYP

PASSENGER VISA INFORMATION

DWR_PAX_VISA_INFO

PDI

DWB_PDI

PDI CHANNEL

DWL_PDI_CHNL

PDI CHANNEL

DWM_PDI_CHNL

PDI CHARACTERISTIC

DWR_PDI_CHRSTIC

PNR PARENT CHILD RELATIONSHIP

DWR_PNR_PARENT_CHILD_RELSHP

POINT OF SALE GDS OFFICE

DWR_POS_GDS_OFF

ROUTEPAIRS

DWM_ROUTEPAIRS

ROUTES

DWM_ROUTES

SALES CHANNEL

DWM_SALES_CHNL

SALES CHANNEL

DWL_SALES_CHNL

SEAT

DWR_SEAT

SEGMENT

DWR_SEG

SEGMENT

DWM_SEG

SEGMENT PAIR

DWM_SEG_PAIR

SEGMENT SCHEDULE

DWB_SEG_SCHD

SERVICE

DWR_SVC

SERVICE

DWM_SVC

SETTING CUSTOMER DECISION TREE

DM_STNG_CUST_LTY_DT

SETTING CUSTOMER SUPPORT VECTOR MACHINE

DM_STNG_CUST_LTY_SVM

SETTING PROFILE KMEANS

DM_STNG_PROFILE_KMEANS

SETTING USER ALL

DM_STNG_USER_ALL

SMS AGENT

DWR_SMS_AGNT

SMS CUSTOMER

DWR_SMS_CUST

SPECIAL SERVICE REQUEST

DWM_SSR

STATION

DWR_STN

TAS

DWB_TAS

TICKET

DWB_TKT

TICKET

DWD_TKT

TICKET COUPON

DWR_TKT_CPN

TICKET DELIVERY ARRANGEMENT

DWL_TKT_DLVRY_ARNGMNT

TICKET DELIVERY ARRANGEMENT

DWB_TKT_DLVRY_ARNGMNT

TIME

DWM_TM

TOUR

DWB_TOUR

TRAFFIC CATEGORY

DWL_TRAF_CATG

TRAFFIC CATEGORY

DWM_TRAF_CATG

TRANSFER EARNING

DWB_XFER_ERNG

TSM

DWR_TSM

TSM EXCESS BAGGAGE

DWL_TSM_XSB

TSM MCO

DWL_TSM_MCO

TSM PASSENGER

DWR_TSM_PAX

TSM PRICE

DWL_TSM_PRC

TSM ROUTE

DWL_TSM_ROUTE

TSM SERVICE

DWL_TSM_SVC

VEHICLE

DWR_VHCL

VIP PASSENGER INFORMATION

DWR_VIP_PAX_INFO

5 Oracle Airlines Data Model Partitioning

This chapter provides the partitioning strategy for the Oracle Airlines Data Model physical base, derived, and aggregate tables.

This chapter includes the following section:

Partitioning Strategy for Oracle Airlines Data Model

Partitioning Strategy for Oracle Airlines Data Model

Table 5-1 shows the partitioning strategy for the Oracle Airlines Data Model physical base, derived, and aggregate tables.

Table 5-1 Physical Data Model Partitioning

Physical Table Name
Partition Key Column
Partition Level
Default Tablespace Name

DWA_BKG_DLY_INVT_SNPST

BKG_DT_KEY

QUARTER

TBS_AGGREGATE

DWA_CHKIN_DLY_FACT

CLNDR_KEY

QUARTER

TBS_AGGREGATE

DWA_CUST_SRVY

CLNDR_KEY

QUARTER

TBS_AGGREGATE

DWA_DLY_BKG_FACT

BKG_DT_KEY

QUARTER

TBS_AGGREGATE

DWA_DLY_CALL_CNTR_PRFMNC

CLNDR_KEY

QUARTER

TBS_AGGREGATE

DWA_DLY_FLT_DETLS

FLT_DT_KEY

QUARTER

TBS_AGGREGATE

DWA_DLY_LYLTY_ACCT

CLNDR_KEY

QUARTER

TBS_AGGREGATE

DWA_DLY_LYLTY_ACCT_BKG

CLNDR_KEY

QUARTER

TBS_AGGREGATE

DWB_ACCT_LVL_HIST

VLD_DT

MONTH

TBS_BASE

DWB_ACCT_XFER

XFER_DT

MONTH

TBS_BASE

DWB_BKG

BKG_CREN_DTTM

MONTH

TBS_BASE

DWB_CHKIN

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_CMNSTRY_ERNG

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_CMPL_ADVC

ACPT_DT

MONTH

TBS_BASE

DWB_CMPL_ADVC_H

ACPT_DT

MONTH

TBS_BASE

DWB_DIRCT_ERNG

FLT_DT

MONTH

TBS_BASE

DWB_ERNG_EVNT

ERNG_EVNT_DT_TM

MONTH

TBS_BASE

DWB_FLT_CHNG

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_FLT_CHNG_H

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_FLT_SCHD

FLT_DT

MONTH

TBS_BASE

DWB_LYLTY_ACCT_BAL_HIST

BAL_DT

MONTH

TBS_BASE

DWB_LYLTY_ACCT_LVL_HIST

VLD_DT

MONTH

TBS_BASE

DWB_LYLTY_CONV

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_LYLTY_PNTS_EXPR_H

EXPIRE_EVNT_DT

MONTH

TBS_BASE

DWB_LYLTY_PRG

LYLTY_PRG_STRT_DT

MONTH

TBS_BASE

DWB_PDI

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PNR

PNR_CRE_DTTM

MONTH

TBS_BASE

DWB_PRTY_INTRATN

INTRATN_EVNT_DT_AND_TM

MONTH

TBS_BASE

DWB_PRTY_INTRATN_CALL

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_CALL_H

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_EML

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_EML_H

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_FAX

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_FAX_H

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_H

INTRATN_EVNT_DT_AND_TM

MONTH

TBS_BASE

DWB_PRTY_INTRATN_ITEM

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_ITEM_H

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_LETR

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_LETR_H

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_SMS

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_THRD

INTRATN_THREAD_STRT_DT

MONTH

TBS_BASE

DWB_PRTY_INTRATN_THRD_H

INTRATN_THREAD_STRT_DT

MONTH

TBS_BASE

DWB_PRTY_INTRATN_VISIT

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PRTY_INTRATN_VISIT_H

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_PTNR_ERNG

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWB_SEG_SCHD

SCHD_SEG_ARVL_DT_TM_LCL

MONTH

TBS_BASE

DWB_SEG_SCHD_H

SCHD_SEG_ARVL_DT_TM_LCL

MONTH

TBS_BASE

DWB_TKT

TKT_ISNG_DT

MONTH

TBS_BASE

DWB_XFER_ERNG

SRC_SYS_CRE_TMSTMP

MONTH

TBS_BASE

DWD_BKG_FACT

OPRTNG_SEG_DEPTR_LCL_DT_KEY

QUARTER

TBS_DERIVED

DWD_CALL_CNTR_PRFMNC

INTRATN_EVNT_DTTM_KEY

QUARTER

TBS_DERIVED

DWD_CHKIN_FACT

CLNDR_KEY

QUARTER

TBS_DERIVED

DWD_CUST_SRVY

INTRATN_THREAD_STRT_DT_KEY

QUARTER

TBS_DERIVED

DWD_FLT_DETLS_FACT

ARVL_LCL_DT_KEY

QUARTER

TBS_DERIVED

DWD_LYLTY_ACCT_BAL_HIST

CREATE_DT_KEY

QUARTER

TBS_DERIVED

DWD_LYLTY_ACCT_LVL_HIST

VLD_DT_KEY

QUARTER

TBS_DERIVED

DWD_LYLTY_PRG

LYLTY_PRG_STRT_DT

MONTH

TBS_DERIVED

DWD_PNR

PNR_CRE_DTTM

MONTH

TBS_DERIVED

DWD_TKT

DT_OF_ISS

MONTH

TBS_DERIVED

Part II

Inter-ETL, OLAP, Data Mining, and Utility Scripts

This part provides information on Oracle Airlines Data Model Inter-ETL Mapping, OLAP, Data Mining, and Utility Scripts.

Part II contains the following chapters:

Chapter 6, "Oracle Airlines Data Model Intra-ETL"

Chapter 7, "Oracle Airlines Data Model OLAP Model Dimensions"

Chapter 8, "Oracle Airlines Data Model OLAP Model Cubes"

Chapter 9, "Oracle Airlines Data Model Data Mining Models"

Chapter 10, "Oracle Airlines Data Model Utility Scripts"

Chapter 11, "Oracle Airlines Data Model Sample Reports"

6 Oracle Airlines Data Model Intra-ETL

This chapter includes the following sections:

Introduction to Oracle Airlines Data Model Intra-ETL

Value Lookup Models for PL/SQL Procedures

Intra-ETL PL/SQL Mapping Source and Target Tables

Intra-ETL Process Flows

Introduction to Oracle Airlines Data Model Intra-ETL

Note:

Do not make changes to the ETL as such changes are not supported.

In Oracle Airlines Data Model, reference tables store master, reference, and dimensional data; and the base, derived, aggregate, and dimension tables store transaction and fact data at different granularities. The base tables store the transaction data at the lowest level of granularity, while the derived and aggregate tables store consolidated and summary transaction data.

Two types of Extract, Transform, and Load (ETL) operations populate the tables with data. The source-ETL operations populate the reference and base tables with data from the source On-Line Transaction Processing (OTLP) applications. Additional Intra-ETL operations populate the derived and aggregate tables with the data in the base, reference tables. While the source ETL operations are not a part of Oracle Airlines Data Model, the Intra-ETL operations are:

Derived Population: A database package containing scripts that populate the derived tables based on the content of the base and reference tables.

Aggregate Population: A database package containing scripts to refresh the Oracle Airlines Data Model aggregate tables based on the content of the derived tables and some reference tables.

Dimension Population: A database package containing all the PL/SQL packages for populating dimension tables based on the content of the reference tables.

Derived, Aggregate, and Dimension tables are implemented using Oracle tables.

For more information, see "Intra-ETL Process Flows" and the Oracle Airlines Data Model Implementation and Operations Guide.

Value Lookup Models for PL/SQL Procedures

Oracle Airlines Data Model Value_Lookup values contains the Lookup tables and its values which are used in Intra-ETL mapping. Table 6-1 shows the tables and values which are used in Join conditions and Filter conditions in Intra-ETL mapping.

Table 6-1 Shows the lookup tables and values which are used in Intra-ETL mapping.

Table 6-1 Value Lookup Values for Intra-ETL Mapping

Hard Coded Value Table Name
Hard Coded Value Column
Value used
ETL Program Name
ETL Usage Type

DWB_BKG_H

STS_CD

HLUN,RR,TK,UC,GK,KK,HK,HX,HN,SA

DWD_BKG_FACT

Source Input

DWB_BKG_H

ORGL_ACTN_CD

SG,GI,IS,NN,PE,TK,LL,FG,GK,FF,SA,FB,SS

DWD_BKG_FACT

Source Input

DWB_BKG_H

CBN_CD

Y, J

DWD_BKG_FACT

Source Input

DWB_BKG_H

CLID_CARR_CD

AW,YY,FC

DWD_BKG_FACT

Source Input

DWB_BKG_H

TST_PAX_FARE_BASIS_CD

Null

DWD_BKG_FACT

Source Input

DWB_BKG_H

TST_INF_FARE_BASIS_CD

Null

DWD_BKG_FACT

Source Input

DWB_BKG_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_BKG_FACT

Parameterized - DWC_ACTIVITY_PARM

DWR_INFLT_MEAL_H

MEAL_CD

Null

DWD_BKG_FACT

Source Input

DWB_PRTY_INTRATN_THRD_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_CUST_SRVY

Parameterized - DWC_ACTIVITY_PARM

DWB_FLT_SCHD_H

FLT_CARR_CD

AA,AF,JL,AW,JJ,BA,CX,6X,IB,FC

DWD_FLT_DETLS_FACT

Source Input

DWB_FLT_SCHD_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_FLT_DETLS_FACT

Parameterized - DWC_ACTIVITY_PARM

DWB_FLT_SCHD_H

LEG_ACFT_SLBL_CONFIG_CD

Null

DWD_FLT_DETLS_FACT

Source Input

DWB_LYLTY_ACCT_BAL_HIST_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_LYLTY_ACCT_BAL_HIST

Parameterized - DWC_ACTIVITY_PARM

DWB_LYLTY_ACCT_LVL_HIST_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_LYLTY_ACCT_LVL_HIST

Parameterized - DWC_ACTIVITY_PARM

DWB_LYLTY_PRG_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_LYLTY_PRG

Parameterized - DWC_ACTIVITY_PARM

DWB_PNR_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_PNR

Parameterized - DWC_ACTIVITY_PARM

DWL_PNR_TYP_H

TYP

Null

DWD_PNR

Source Input

DWB_TKT_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWD_TKT

Parameterized - DWC_ACTIVITY_PARM

DWB_TKT_H

ISNG_OFF_IATA_CD

19491205,19491205, 19491205,38276641, 38276641,38276641, 80202662,97516241, 97516241,19270215, 19270215,19270215, 19270215,19200602, 19270215,19205012, 19205012,97516241, 19270215,19270215

DWD_TKT

Source Input

DWR_ACCT_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_ACCT

Parameterized - DWC_ACTIVITY_PARM

DWL_ACV_H

SLBL_CONFIG_CD

57D,A03,57E,140, A07,997,A06,A04, 123,A08,A02,124, A09,120,112,A05, B01,A01

DWM_ACFT_VER

Source Input

DWL_ACV_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_ACFT_VER

Parameterized - DWC_ACTIVITY_PARM

DWR_AIP_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_AIP

Parameterized - DWC_ACTIVITY_PARM

DWL_BKG_CLS_H

BKG_CLS_CD

X ,A ,E ,T ,I ,D, M, Q ,H ,U ,S ,P ,R ,F , Y ,O ,N ,C ,L ,Z ,B , J ,W, G ,K ,V

DWM_BKG_CLS_TYP

Source Input

DWL_BKG_CLS_H

SVC_CLS_CD

B,E

DWM_BKG_CLS_TYP

Source Input

DWL_BKG_CLS_H

CARR_CD

AF,AA,OK,RJ, CA,JL,SU,AW, BT,KF,JJ,8X, CX,BA,QF,FV, LH,6X,DY,IB, 7X,KA,FC, TP,AB,7S,AI, G3

DWM_BKG_CLS_TYP

Source Input

DWL_BKG_CLS_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_BKG_CLS_TYP

Parameterized - DWC_ACTIVITY_PARM

DWR_SMS_AGNT_H

AGNT_REGN_CD

EUR,NOA,AFR,SOA,SEA

DWM_BKG_OFF

Source Input

DWR_SMS_AGNT_H

AGNT_CONT_CD

AS,AF,NA,EU,SA

DWM_BKG_OFF

Source Input

DWR_SMS_AGNT_H

AGNT_CITY_CD

VEC,ESP,DUE,KAI,GRA,BLO, BAI,COL,PAP,ESS,FRA,CAM, HAR,RIV,HAN,BRE,SAN,BEI, ALG,VOI,STU,SCH,VAL,NEW,SHA, STE,DAN,GRO,FAR,TRA,COR,OSL, IGU,BOA,BHM,BER,DEA,MIL,AUB, DEN,KOR,ROS,GOS,SOU,SAO, BOL,JUJ,PHX,OSN,MAP,ZUG

DWM_BKG_OFF

Source Input

DWR_SMS_AGNT_H

AGNT_IATA_CD

5888492,1736851, 2397883,2327312, 5799334,5620987, 2320872,2349115,7834245, 8286762,2025845, 7825909,8300843, 1920178,2323171, 8300154,2325455, 2326660,2349421, 2349141

DWM_BKG_OFF

Source Input

DWR_BKG_OFF_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_BKG_OFF

Parameterized - DWC_ACTIVITY_PARM

DWR_BKG_OFF_H

CITY_CD

VLC,NYC,CCS, GHA,MPM,PAR, SGN,SAN,BOG, LUQ,BLR,WAS, SAP,AMS,PER, BNE,DJG,LPA, SHA,MEL

DWM_BKG_OFF

Source Input

DWR_BKG_OFF_H

CORP_CD

AA,1S,AF, MH,1V,1E, 1A,1P,CX, BA,1G,1B

DWM_BKG_OFF

Source Input

DWR_BKG_OFF_H

CTRY_CD

US,ES,AL, DZ,BE,VN, AR,FR,MZ, PF,NO,HK, GB,CN,DE, CO,AU,HN, BR,IN,VE

DWM_BKG_OFF

Source Input

DWR_BKG_OFF_H

IATA_CD

17393165,91238943, 80203443,2405093, 78250406,8286762, 2397883,5888492, 5799334,2327312, 2349115,5620987, 7834245,2320872, 80207540,7825909, 2349421, 2323171

DWM_BKG_OFF

Source Input

DWR_BKG_OFF_H

TRUE_CITY_CD

LON,VLC,CCS, NYC,GHA,PAR, MPM,TEE,BOG, SGN,LUQ,WAS, SAP,BLR,SAN, AMS,PER,BNE, DJG,LPA,DFW, SWI,SHA,MAD, MEL,OSL,ADL, MUC,MJV,DEN, BDL,GNB,PPT, LAX,SYD,ELU, CAN,BJS,HKG, PHX,BRU,SFO, SAO,SNA

DWM_BKG_OFF

Source Input

DWR_SMS_AGNT_H

AGNT_CNTY_CD

Null

DWM_BKG_OFF

Source Input

DWR_BKG_PAX_H

TYP_CD

INF,ADT

DWM_BKG_PAX

Source Input

DWR_BKG_PAX_H

IDFN_CD

Null

DWM_BKG_PAX

Source Input

DWR_BKG_PAX_H

VIP_CARR_CD

Null

DWM_BKG_PAX

Source Input

DWR_BKG_PAX_H

CLNTID_CARR_CD

Null

DWM_BKG_PAX

Source Input

DWR_BKG_PAX_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_BKG_PAX

Parameterized - DWC_ACTIVITY_PARM

DWR_BKG_TST_H

VLDT_CARR

Null

DWM_BKG_TST

Source Input

DWR_BKG_TST_H

TOUR_CD

Null

DWM_BKG_TST

Source Input

DWR_BKG_TST_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_BKG_TST

Parameterized - DWC_ACTIVITY_PARM

DWR_CARR_H

CARR_CD

AF,AA,OK,RJ,CA,JL,SU,

AW,BT,KF,JJ,8X,CX,BA,

QF,FV,LH,6X,DY,IB,7X,

KA,FC,TP,AB,7S,AI,G3

DWM_CARR

Source Input

DWR_SMS_CUST_H

CUST_CRCY_CD

Null

DWM_CORP_CUST

Source Input

DWR_SMS_CUST_H

CUST_CLNT_CD

Null

DWM_CORP_CUST

Source Input

DWR_SMS_CUST_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_CORP_CUST

Parameterized - DWC_ACTIVITY_PARM

DWR_FLT_H

CARR_CD

AF,AA,OK,RJ,CA,JL,SU,

AW,BT,KF,JJ,8X,CX,BA,

QF,FV,LH,6X,DY,IB, 7X,KA,FC,TP,AB,7S,AI, G3

DWM_FLT

Source Input

DWR_FLT_H

SCNDRY_CARR_CD

DWM_FLT

Source Input

DWR_FLT_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_FLT

Parameterized - DWC_ACTIVITY_PARM

DWR_FRQTFLR_H

CARR_CD

AF,AA,OK,RJ, CA,JL,SU,AW, BT,KF,JJ,8X, CX,BA,QF,FV, LH,6X,DY,IB, 7X,KA,FC, TP,AB,7S,AI,G3

DWM_FRQTFLR

Source Input

DWR_FRQTFLR_H

STS_CD

HL,UN,RR, TK,UC,GK, KK,HK,HX, HN,SA

DWM_FRQTFLR

Source Input

DWR_FRQTFLR_H

AIRL_PRORTY_CD

2000,4000,6000, 9997,9999

DWM_FRQTFLR

Source Input

DWR_FRQTFLR_H

ALANC_CD

*O,*S,*A

DWM_FRQTFLR

Source Input

DWR_FRQTFLR_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_FRQTFLR

Parameterized - DWC_ACTIVITY_PARM

DWL_INTRATN_RSLT_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_INTRATN_RSLT

Parameterized - DWC_ACTIVITY_PARM

DWL_INTRATN_RSN_H

INTRATN_RSN_CD

Null

DWM_INTRATN_RSN

Source Input

DWL_INTRATN_RSN_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_INTRATN_RSN

Parameterized - DWC_ACTIVITY_PARM

DWR_LEG_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_LEG

Parameterized - DWC_ACTIVITY_PARM

DWR_LYLTY_LVL_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_LYLTY_LVL

Parameterized - DWC_ACTIVITY_PARM

DWL_PDI_CHNL_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_PDI_CHNL

Parameterized - DWC_ACTIVITY_PARM

DWL_SALES_CHNL_H

SALES_CHNL_CD

Swiftair Agent, Other Agent, Airline Agent

DWM_SALES_CHNL

Source Input

DWL_SALES_CHNL_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_SALES_CHNL

Parameterized - DWC_ACTIVITY_PARM

DWR_SEG_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_SEG

Parameterized - DWC_ACTIVITY_PARM

DWR_SEG_H

OFPNT_CITY

NYC,CZL,RIX, LON,REP,CBR, STO,FRA,NGO, LED,MAN,BUJ, DEL,PAR,NCE, HRM,GOT,QAS, HNL,TLL

DWM_SEG_PAIR

Source Input

DWR_SVC_H

SVC_TYP_CD

1,2,3

DWM_SVC

Source Input

DWR_SVC_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_SVC

Parameterized - DWC_ACTIVITY_PARM

DWL_TRAF_CATG_H

DATA_MVT_STS_CD

P (Processed), N (New)

DWM_TRAF_CATG

Parameterized - DWC_ACTIVITY_PARM

Intra-ETL PL/SQL Mapping Source and Target Tables

Table 6-3 shows the PL/SQL packages for mapping source tables to target tables to populate Aggregate tables.

Table 6-4 shows the PL/SQL packages for mapping source tables to target tables to populate tables.

Table 6-3 shows the PL/SQL packages for mapping source tables to target tables to populate Dimension tables.

Table 6-2 shows the parameter abbreviations used in PL/SQL mappings.

Table 6-2 Intra-ETL Parameter Abbreviations

Abbreviation
Meaning

pv_

Parameter variable

lv_

Local variable

Table 6-3 Intra-ETL Aggregate Table Mapping Packages

Package Name

PKG_DWA_CUST_SRVY Mapping

PKG_DWA_DLY_BKG_FACT Mapping

PKG_DWA_DLY_CALL_CNTR_PRFMNC Mapping

PKG_DWA_DLY_FLT_DETLS Mapping

PKG_DWA_DLY_LYLTY_ACCT_BKG Mapping

PKG_DWA_DLY_LYLTY_ACCT Mapping

Table 6-4 Intra-ETL Derived Table Mapping Packages

Package Name

PKG_DWD_BKG_FACT Mapping

PKG_DWD_CALL_CNTR_PRFMNC Mapping

PKG_DWD_CUST_SRVY Mapping

PKG_DWD_FLT_DETLS_FACT Mapping

PKG_DWD_LYLTY_ACCT_BAL_HIST Mapping

PKG_DWD_LYLTY_ACCT_LVL_HIST Mapping

PKG_DWD_LYLTY_PRG Mapping

PKG_DWD_PNR Mapping

PKG_DWD_TKT Mapping

Table 6-5 Intra-ETL Dimension Table Mapping Packages

Package Name

PKG_DWM_ACCT Mapping

PKG_DWM_ACFT_VER Mapping

PKG_DWM_AIP Procedure

PKG_DWM_BKG_CLS_TYP Procedure

PKG_DWM_BKG_OFF Mapping

PKG_DWM_BKG_PAX Mapping

PKG_DWM_BKG_TST Mapping

PKG_DWM_CARR Mapping

PKG_DWM_CORP_CUST Mapping

PKG_DWM_FLT Mapping

PKG_DWM_FRQTFLR Mapping

PKG_DWM_INTRATN_RSLT Mapping

PKG_DWM_INTRATN_RSN Mapping

PKG_DWM_LEG Mapping

PKG_DWM_LYLTY_LVL Mapping

PKG_DWM_PDI_CHNL Mapping

PKG_DWM_SALES_CHNL Mapping

PKG_DWM_SEG Mapping

PKG_DWM_SEG_PAIR Mapping

PKG_DWM_SVC Mapping

PKG_DWM_TRAF_CATG Mapping

PKG_DWA_CUST_SRVY Mapping

Table 6-6 shows the source to target mapping to populate target table DWA_CUST_SRVY. For more information, see CUSTOMER SURVEY.

Source Tables

DWD_CUST_SRVY

DWM_CLNDR

DWM_INTRATN_RSN

DWM_INTRATN_RESLT

Table 6-6 PKG_DWA_CUST_SRVY ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

DLY_CUST_SRVY_KEY

DWD_CUST_SRVY

SEQ_DWA_CUST_SRVY.NEXTVAL

Direct mapping. It is the sequence key generated where the data will be inserted in sequential manner

SVC_KEY

DWD_CUST_SRVY

SVC_KEY

Direct Mapping. The foreign key to DWR_SERVICE

INTRATN_RSN_KEY

DWD_CUST_SRVY

INTRATN_RSN_KEY

Direct Mapping. The foreign key to DWL_INTERACTION_RSN

CLNDR_KEY

dwm_clndr

clndr_key

Left outer join is performed on the Calendar table on the basis of Calendar key to get the calendar key values

Join performed between DWM_CLNDR and DWD_CUST_SRVY table on CLNDR_KEY column to fetch value for CLNDR_KEY

STSFY_CNT

DWM_INTRATN_RSN/ DWM_INTRATN_RESLT

STFY_CNT

Left outer join is performed on the INTERACTION REASON table on the basis of INTERACTION REASON Key to get the INTERACTION REASON name values Left outer join is performed on the INTERACTION Result table on the basis of INTERACTION RESULT Key to get the INTERACTION Result name values

COUNT(

CASE

WHEN SRC.INTRATN_RSLT_NM= 'Satisfy'

AND SRC.INTRATN_RSN_NM = 'Survey'

THEN CUST_SRVY_KEY

END) AS STFY_CNT

Join performed between DWM_INTRATN_RSN

and DWD_CUST_SRVY table on INTRATN_RSN_KEY

column to fetch value for INTRATN_RSN_NM

Join performed between DWM_INTRATN_RSLT

and DWD_CUST_SRVY table on INTRATN_RSLT_KEY

column to fetch value for INTRATN_RSLT_NM

TOT_SRVY_CNT

DWM_INTRATN_RSN

TOT_SRVY_CNT

Left outer join is performed on the INTERACTION REASON table on the basis of INTERACTION REASON Key to get the INTERACTION REASON name values

COUNT(

CASE

WHEN SRC.INTRATN_RSN_NM = 'Survey'

THEN CUST_SRVY_KEY

END) AS TOT_SRVY_CNT

Join performed between DWM_INTRATN_RSN

and DWD_CUST_SRVY table on INTRATN_RSN_KEY

column to fetch value for INTRATN_RSN_NM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

PKG_DWA_DLY_BKG_FACT Mapping

Table 6-7 shows the mapping to populate target table DWA_DLY_BKG_FACT. For more information, see DAILY BOOKING FACT.

Source Tables

DWD_BKG_FACT

DWD_TKT

DWM_FLT

DWM_CLNDR

Table 6-7 PKG_DWA_DLY_BKG_FACT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

BKG_SEG_DEPTR_FACT_KEY

DWD_BKG_FACT

SEQ_DWA_DLY_BKG_FACT.NEXTVAL

Direct mapping. It is the sequence key generated to retrieve the data in sequential order

TRAF_CATG_KEY

DWD_BKG_FACT

TRAFIC_CAT_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.traf_catg_key, -1) AS TRAFIC_CAT_KEY

BKG_CLS_KEY

DWD_BKG_FACT

BKGCLS_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.bkgcls_key, -1) AS BKGCLS_KEY

OPRTNG_CARR_KEY

DWD_BKG_FACT

OPR_CARRIER_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.oprtng_carr_key, -1) AS OPR_CARRIER_KEY

SALES_CHNL_KEY

DWD_BKG_FACT

SALES_CHANNEL_ID

Direct Mapping. Indicates the sales channel identifier

NVL (b.sales_chnl_id, -1) AS SALES_CHANNEL_ID

DEPTR_AIP_KEY

DWD_BKG_FACT

DEPTR_AIP_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.deptr_aip_key, -1) AS DEPTR_AIP_KEY

ARVL_AIP_KEY

DWD_BKG_FACT

ARVL_AIP_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.arvl_aip_key, -1) AS ARVL_AIP_KEY

OFF_KEY

DWD_BKG_FACT

OFFICE_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (B.OFF_KEY, -1) AS OFFICE_KEY

OPRTNG_FLT_KEY

DWD_BKG_FACT

OPR_FLIGHT_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.oprtng_flt_key, -1) AS OPR_FLIGHT_KEY

MKTG_CARR_KEY

DWD_BKG_FACT

MKT_CARRIER_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.mktg_carr_key, -1) AS MKT_CARRIER_KEY

MKTG_FLT_KEY

DWD_BKG_FACT

MKT_FLIGHT_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.mktg_flt_key, -1) AS MKT_FLIGHT_KEY

OPRTNG_SEG_KEY

DWD_BKG_FACT

OPR_SEG_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.oprtng_seg_key,-1) AS OPR_SEG_KEY

MKTG_SEG_KEY

DWD_BKG_FACT

MKT_SEG_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

NVL (b.mktg_seg_key, -1) AS MKT_SEG_KEY

BKG_CITY_KEY

DWD_BKG_FACT

BKG_CITY_KEY

Direct Mapping. It indicates the foreign key which is the primary key of the other table

CASE

WHEN B.BKG_CITY_KEY IS NULL

THEN -1

ELSE B.BKG_CITY_KEY

END AS BKG_CITY_KEY

CORP_CUST_KEY

DWD_BKG_FACT

corp_cust_key

Direct Mapping. It indicates the foreign key which is the primary key of the other table

IATCI_TRGT_CO_ID

V_IATCI_TRGT_CO_ID_DFLT

Direct Mapping.

CAMPN_ID

DWD_BKG_FACT

BKG_CAMPN_ID

Direct Mapping.

NVL(B.BKG_CAMPN_ID, -1) AS BKG_CAMPN_ID

ROUTE_ID

pv_ROUTE_ID_DFLT

Direct Mapping.

BKD

DWD_BKG_FACT

BOOKED

Direct Mapping. "This indicates the total booked count for all the bookings for the combination of dimensions for the current date for all future departures.

This will be derived from the BKG_FACT entity using the column BKG_KEY"

COUNT (

CASE

WHEN B.BKG_CREN_TM_ID != 0

THEN 1

ELSE NULL

END) AS BOOKED

CNCLD_FRM_CONFMD

DWD_BKG_FACT

CNCLD_FRM_CONFMD

Direct Mapping. "This indicates the total count for all the bookings for the combination of dimensions for a particular snapshot date for all future departures starting the day after the snapshot date where the bookings were canceled from a confirmed status

This will be derived from the BKG_FACT entity using the column BKG_STS_CHNG_IND"

COUNT (

CASE

WHEN TO_DATE(TO_CHAR(B.CNCL_DTTM,'DD-MON-YYYY')) > TO_DATE(TO_CHAR(B.CONF_DTTM,'DD-MON-YYYY'))

THEN 1

ELSE NULL

END) AS CNCLD_FRM_CONFMD

WAITLISED

DWD_BKG_FACT

Waitlist_Count

Direct Mapping. "This indicates the total waitlist count for all the bookings for the combination of dimensions for a particular snapshot date for all future departures starting the day after the snapshot date.

This will be derived from the BKG_FACT entity using the column WAITLIST_DT_TM"

TKTD

DWD_BKG_FACT

TICKETED

Direct Mapping. "This indicates the total ticketed count for all the bookings for the combination of dimensions for the current date for all future departures.

This will be derived from the BKG_FACT entity using the column PAX_TKT_KEY where this column is not null."

SUM(

CASE

WHEN B.PAX_TKT_KEY IS NOT NULL

AND (B.INF_TKT_KEY != -1

OR B.INF_TKT_KEY IS NOT NULL)

THEN 2

WHEN B.PAX_TKT_KEY IS NOT NULL

AND (B.INF_TKT_KEY = -1

OR B.INF_TKT_KEY IS NULL)

THEN 1

ELSE 0

END) AS TICKETED

NET_BKD

DWD_BKG_FACT

NET_BKD

Direct Mapping. "This indicates the net booked data for the current date which is calculated using the following formula below

Booked - Cancelled, net total of booked segments (regardless of segment status)"

(SRC.BOOKED - SRC.CNCLD_FRM_CONFMD) AS NET_BKD

NET_CONFMD

DWD_BKG_FACT

NET_CONFMD

Direct Mapping. "This indicates the net confirmed data for the current date which is calculated using the following formula below

Confirmed ¨C Cancelled from Confirmed"

(SRC.Confirmation_Count - SRC.CNCLD_FRM_CONFMD) AS NET_CONFMD

MATRLIZATN_RATE

DWD_BKG_FACT

MATRLIZATN_RATE

Direct Mapping. "This indicates the materialization rate data for the current date which is calculated using the following formula below

Confirmed-Cancelled from HK

Confirmed"

CASE

WHEN SRC.Confirmation_Count = 0

THEN 0

ELSE (SRC.Confirmation_Count - SRC.CNCLD_FRM_CONFMD) / SRC.Confirmation_Count * 100

END AS MATRLIZATN_RATE

CONFMD_CNT

DWD_BKG_FACT

Confirmation_Count

Direct Mapping. "This indicates the total waitlist count for all the bookings for the combination of dimensions for the current date for all future departures.

This will be derived from the BKG_FACT entity using the column BKG_CONFIRM_DT_TM"

CNCLD_CNT

DWD_BKG_FACT

CANCELLED_COUNT

Direct Mapping. "This indicates the total waitlist count for all the bookings for the combination of dimensions for the current date for all future departures.

This will be derived from the BKG_FACT entity using the column BKG_CANCEL_DT_TM"

GRP_BKD_QTY

DWD_BKG_FACT

GRP_BKD_QTY

Direct Mapping. This indicates the Group booked Quantity.

INDV_BKD_QTY

DWD_BKG_FACT

INDV_BKD_QTY

Direct mapping. This indicates the Individual booked Quantity.

COUNT (

CASE

WHEN b.BKG_GRP_IND = 'Y'

THEN 1

END) AS GRP_BKD_QTY,

COUNT (

CASE

WHEN b.BKG_GRP_IND = 'N'

THEN 1

END) AS INDV_BKD_QTY

GRP_PAX_CNT

DWD_BKG_FACT

GRP_PAX_CNT

Direct mapping. This indicates the Group Passenger Count.

SUM(

CASE

WHEN b.BKG_GRP_IND = 'Y'

AND (B.INF_PAX_KEY != -1

OR B.INF_PAX_KEY IS NOT NULL)

THEN 2

WHEN b.BKG_GRP_IND = 'Y'

AND (B.INF_PAX_KEY = -1

OR B.INF_PAX_KEY IS NULL)

THEN 1

ELSE 0

END) AS GRP_PAX_CNT

INDV_PAX_CNT

DWD_BKG_FACT

INDV_PAX_CNT

Direct mapping. This measure indicates the Individual Passenger Count.

SUM(

CASE

WHEN b.BKG_GRP_IND = 'N'

AND (B.INF_PAX_KEY != -1

OR B.INF_PAX_KEY IS NOT NULL)

THEN 2

WHEN b.BKG_GRP_IND = 'N'

AND (B.INF_PAX_KEY = -1

OR B.INF_PAX_KEY IS NULL)

THEN 1

ELSE 0

END) AS INDV_PAX_CNT

BKD_LY

DWD_BKG_FACT

BKD_LY

Direct Mapping.

COUNT (

CASE

WHEN B.BKG_CREN_TM_ID != 0

AND to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy'))= add_months (to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy')), -12)

THEN 1

ELSE NULL

END) AS BKD_LY

CNCLD_CNT_LY

DWD_BKG_FACT

CNCLD_CNT_LY

Direct mapping.

COUNT (

CASE

WHEN B.BKG_CNCL_TM_ID <> 0

THEN B.BKG_CNCL_TM_ID

END ) AS CANCELLED_COUNT,

COUNT (

CASE

WHEN B.BKG_CNCL_TM_ID <> 0

AND to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy'))= add_months (to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy')), -12)

THEN B.BKG_CNCL_TM_ID

END ) AS CNCLD_CNT_LY

CNCLD_FRM_CONFMD_LY

DWD_BKG_FACT

CNCLD_FRM_CONFMD_LY

Direct Mapping.

CASE

WHEN SRC.BKG_DATE= add_months (SRC.BKG_DATE, -12)

THEN SRC.CNCLD_FRM_CONFMD

END AS CNCLD_FRM_CONFMD_LY

CONFMD_CNT_LY

DWD_BKG_FACT

CONFMD_CNT_LY

Direct mapping.

COUNT (

CASE

WHEN B.BKG_CONF_TM_ID <> 0

THEN B.BKG_CONF_TM_ID

END ) AS Confirmation_Count,

COUNT (

CASE

WHEN B.BKG_CONF_TM_ID <> 0

AND to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy'))= add_months (to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy')), -12)

THEN B.BKG_CONF_TM_ID

END ) AS CONFMD_CNT_LY

NET_BKD_LY

DWD_BKG_FACT

NET_BKD_LY

Direct mapping.

CASE

WHEN SRC.BKG_DATE= add_months (SRC.BKG_DATE, -12)

THEN (SRC.BOOKED - SRC.CNCLD_FRM_CONFMD)

ELSE 0

END AS NET_BKD_LY

NET_CONFMD_LY

DWD_BKG_FACT

NET_CONFMD_LY

Direct mapping.

CASE

WHEN SRC.BKG_DATE= add_months (SRC.BKG_DATE, -12)

THEN SRC.CNCLD_FRM_CONFMD

END AS CNCLD_FRM_CONFMD_LY,

CASE

WHEN SRC.Confirmation_Count = 0

THEN 0

ELSE (SRC.Confirmation_Count - SRC.CNCLD_FRM_CONFMD) / SRC.Confirmation_Count * 100

END AS MATRLIZATN_RATE,

(SRC.Confirmation_Count - SRC.CNCLD_FRM_CONFMD) AS NET_CONFMD,

CASE

WHEN SRC.BKG_DATE = add_months (SRC.BKG_DATE, -12)

THEN (SRC.Confirmation_Count - SRC.CNCLD_FRM_CONFMD)

END AS NET_CONFMD_LY

TKTD_LY

DWD_BKG_FACT

TKTD_LY

Direct mapping.

SUM (

CASE

WHEN B.PAX_TKT_KEY IS NOT NULL

AND (B.INF_TKT_KEY != -1

OR B.INF_TKT_KEY IS NOT NULL)

AND to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy'))= add_months (to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy')), -12)

THEN 2

WHEN B.PAX_TKT_KEY IS NOT NULL

AND (B.INF_TKT_KEY = -1

OR B.INF_TKT_KEY IS NULL)

AND to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy'))= add_months (to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy')), -12)

THEN 1

ELSE 0

END ) AS TKTD_LY

WAITLISED_LY

DWD_BKG_FACT

WAITLISED_LY

Direct mapping.

COUNT (

CASE

WHEN B.WTLST_IND = 'Y'

THEN B.WTLST_IND

END ) AS Waitlist_Count,

COUNT (

CASE

WHEN B.WTLST_IND = 'Y'

AND to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy'))= add_months (to_date(TO_CHAR(B.bkg_cren_tmstmp,'dd-mon-yyyy')), -12)

THEN B.WTLST_IND

END ) AS WAITLISED_LY

OTR_CHARGES

DWD_TKT

OTR_CHARGES

Left outer join is performed on the Ticket table on the basis of Ticket key to get the Other Charges

Join performed between DWD_TKT

and DWD_BKG_FACT table on TKT_KEY

column to fetch value for OTR_CHARGES

TAX_AMT

DWM_FLT

TAX

Left outer join is performed on the Filter table on the basis of Flight key to get the Tax values

CASE

WHEN DWM_FLT.INTNL_DOM_FLG = 'I'

THEN LKP.TOT_AMT * 0.18

WHEN DWM_FLT.INTNL_DOM_FLG = 'D'

THEN LKP.TOT_AMT * 0.25

ELSE 0

END AS TAX

Join performed between DWM_FLT

and DWD_BKG_FACT table on flt_key

column to fetch value for TAX

TKT_AMT

DWD_TKT

TKT_AMT

Left outer join is performed on the Ticket table on the basis of Ticket key to get the Ticket amount

Join performed between DWD_TKT

and DWD_BKG_FACT table on TKT_KEY

column to fetch value for TKT_AMT

PAX_CNT

DWD_BKG_FACT

PAX_COUNT

Direct mapping. This indicates the passenger count at day level. ODT requested to add this measure

SUM(

CASE

WHEN B.INF_PAX_KEY != -1

OR B.INF_PAX_KEY IS NOT NULL

THEN 2

ELSE 1

END) AS PAX_COUNT

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

BKG_DT_KEY

dwm_clndr

CLNDR_KEY

Left outer join is performed on the Calendar table on the basis of Calendar date to get the Calendar key.

Join performed between dwm_clndr and DWD_BKG_FACT table on clndr_dt column to fetch value for CLNDR_KEY to_date(TO_CHAR (b.bkg_cren_tmstmp,'dd-mon-yyyy')) AS BKG_DATE

SEG_DEPTR_DT_KEY

pv_SEG_DEPTR_DT_KEY_DFLT

FLN_RVN

DWD_BKG_FACT

FLN_RVN

Direct mapping. This indicates Revenue generated from passengers who checked in and received the boarding pass

SUM(B.FLN_RVN) AS FLN_RVN

FLN_PAX_CNT

DWD_BKG_FACT

FLN_PAX_CNT

Direct mapping. Indicates the number of passengers who checked in and received the boarding pass

SUM(B.FLN_PAX_CNT) AS FLN_PAX_CNT

NON_RVN_FLN_PAX_CNT

DWD_BKG_FACT

NON_RVN_FLN_PAX_CNT

Direct mapping. Indicates the number of passenger who checked in and received the boarding pass and from whom airline does not generate any revenue

SUM(B.NON_RVN_FLN_PAX_CNT) AS NON_RVN_FLN_PAX_CNT

ONFLT_ORGN_TO_DEST_FLT_RVN

DWD_BKG_FACT

ONFLT_ORGN_TO_DEST_FLT_RVN

Direct mapping. Indicates the Onflight Origin to Destination means that the airline services all flight segments starting from Original to Destination.

SUM(B.ONFLT_ORGN_TO_DEST_FLT_RVN) AS ONFLT_ORGN_TO_DEST_FLT_RVN

FLN_RVN_ORGN_TO_DEST_OFRD

DWD_BKG_FACT

FLN_RVN_ORGN_TO_DEST_OFRD

Direct mapping. Indicates the Offered Origin to Destination means that the airline only provide part of Origin and Destination flighting service

SUM(B.FLN_RVN_ORGN_TO_DEST_OFRD) AS FLN_RVN_ORGN_TO_DEST_OFRD

ONFLT_ORGN_TO_DEST_FLN_PAX_CNT

DWD_BKG_FACT

ONFLT_ORGN_TO_DEST_FLN_PAX_CNT

Direct mapping.

SUM(B.ONFLT_ORGN_TO_DEST_FLN_PAX_CNT) AS ONFLT_ORGN_TO_DEST_FLN_PAX_CNT

OFRD_ORGN_TO_DEST_FLN_PAX_CNT

DWD_BKG_FACT

OFRD_ORGN_TO_DEST_FLN_PAX_CNT

Direct mapping.

SUM(B.OFRD_ORGN_TO_DEST_FLN_PAX_CNT) AS OFRD_ORGN_TO_DEST_FLN_PAX_CNT

CPN_CNT

DWD_BKG_FACT

CPN_CNT

Direct mapping.

SUM(B.CPN_CNT) AS CPN_CNT

ONBRD_RVN

DWD_BKG_FACT

ONBRD_RVN

Direct mapping.

SUM(B.ONBRD_RVN) AS ONBRD_RVN

EXCESS_BAG_RVN

DWD_BKG_FACT

EXCESS_BAG_RVN

Direct mapping.

SUM(B.EXCESS_BAG_RVN)AS EXCESS_BAG_RVN

FEES_RVN

DWD_BKG_FACT

FEES_RVN

Direct mapping.

SUM(B.FEES_RVN) AS FEES_RVN

CHARTER_RVN

DWD_BKG_FACT

CHARTER_RVN

Direct mapping.

SUM(B.CHARTER_RVN) AS CHARTER_RVN

BELLY_CARGO_RVN

DWD_BKG_FACT

BELLY_CARGO_RVN

Direct mapping.

SUM(B.BELLY_CARGO_RVN) AS BELLY_CARGO_RVN

CDSH_RVN

DWD_BKG_FACT

CDSH_RVN

Direct mapping.

SUM(B.CDSH_RVN) AS CDSH_RVN

OTR_RVN

DWD_BKG_FACT

OTR_RVN

Direct mapping.

SUM(B.OTR_RVN) AS OTR_RVN

PKG_DWA_DLY_CALL_CNTR_PRFMNC Mapping

Table 6-8 shows the mapping to populate target table DWA_DLY_CALL_CNTR_PRFMNC. For more information, see DAILY CALL CENTER PERFORMANCE.

Source Tables

DWD_CALL_CNTR_PRFMNC

DWM_CLNDR

Table 6-8 PKG_DWA_DLY_CC_PRFM ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

DLY_CALL_CNTR_PRFMNC_KEY

SEQUENCE GENERATOR

OFF_KEY

DWD_CALL_CNTR_PRFMNC

CALL_CNTR_KEY as OFF_KEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

CALL_CNT

DWD_CALL_CNTR_PRFMNC

PRTY_INTRATN_CALL_ID

It indicates the count of number of call received on a daily basis.

Count(PRTY_INTRATN_CALL_ID)

As CALL_CNT

ACCSSBL_CNT

DWD_CALL_CNTR_PRFMNC

DLY_CALL_CNTR_PRFMNC_KEY

It indicates the count of accessible call

Count(DLY_CALL_CNTR_PRFMNC_KEY) where TALK_DURN = 0 and HLDD_BY_IVR_IND= 'Y'

STSFY_CNT

DWD_CALL_CNTR_PRFMNC

DLY_CALL_CNTR_PRFMNC_KEY

It indicates the count of satisfy call

Count(DLY_CALL_CNTR_PRFMNC_KEY) where CUST_STSFYN_IND= 'Y'

MINT_OF_CALL_DURN

DWD_CALL_CNTR_PRFMNC

INTRATN_DURN

It indicates the count of total minute of call duration

SUM(INTRATN_DURN) as MIN_AMT

AGNT_CNT

DWD_CALL_CNTR_PRFMNC

CALL_CNTR_AGNT_KEY

It indicates the count of Agents.

Count(CALL_CNTR_AGNT_KEY) as AGNT_CNT

CLNDR_KEY

DWM_CLNDR

CLNDR_KEY

Left outer join is performed on the Calendar table on the basis of calendar key with interaction event data time key to get the calendar key

Join performed between DWM_CLNDR and DWD_CALL_CNTR_PRFMNC table on column INTRATN_EVNT_DTTM_KEY to fetch value for CLNDR_KEY

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

PKG_DWA_DLY_FLT_DETLS Mapping

Table 6-9 shows the mapping to populate target table DWA_DLY_FLT_DETLS. For more information, see DAILY FLIGHT DETAILS.

Source Tables

DWD_FLT_DETLS_FACT

DWM_CLNDR

Table 6-9 PKG_DWA_DLY_FLT_DETLS ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

DWA_DLY_FLT_DETLS_KEY

SEQUENCE GENERATOR

SEG_KEY

DWD_FLT_DETLS_FACT

SEG_KEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

FLT_KEY

DWD_FLT_DETLS_FACT

FLT_KEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

FLT_DT_KEY

DWM_CLNDR

CLNDR_KEY as FLT_DT_KEY

Left outer join is performed on the Calendar table on the basis of calendar date with flight date to get the calendar key

Join performed between DWM_CLNDR and DWD_FLT_DETLS_FACT table on column FLT_DT to fetch value for CLNDR_KEY

ACV_TOT_CPCTY

DWD_FLT_DETLS_FACT

ACV_TOT_CPCTY

SUM of AIRCRAFTVERSION TOTAL CAPACITY

SUM(ACV_TOT_CPCTY) AS ACV_TOT_CPCTY

SALEBLE_TOT_CPCTY

DWD_FLT_DETLS_FACT

SALEBLE_TOT_CPCTY

SUM of SALEBLE TOTAL CAPACITY

SUM(SALEBLE_TOT_CPCTY) AS SALEBLE_TOT_CPCTY

NAUTICAL_MLS

DWD_FLT_DETLS_FACT

NAUTICAL_MLS

SUM of NAUTICAL MILES

SUM(NAUTICAL_MLS) AS NAUTICAL_MLS

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

PKG_DWA_DLY_LYLTY_ACCT_BKG Mapping

Table 6-10 shows the mapping to populate target DWA_DLY_LYLTY_ACCT_BKG. For more information, see DAILY LOYALTY ACCOUNT BOOKING.

Source Tables

DWD_BKG_FACT

DWD_TKT

DWM_CLNDR

DWM_FRQTFLR

DWD_LYLTY_ACCT_LVL_HIST

DWD_LYLTY_PRG

DWD_LYLTY_ACCT_BAL_HIST

Table 6-10 PKG_DWA_DLY_LYLTY_ACCT_BKG ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

DLY_LYLTY_ACCT_BKG_KEY

DWD_BKG_FACT

SEQ_DWA_DLY_LYLTY_ACCT_BKG.NEXTVAL

Sequence Generator. Unique number helps to keep the data integrity between the operational and derived layer.

LYLTY_LVL_KEY

DWD_BKG_FACT DWD_LYLTY_ACCT_LVL_HIST

LYLTY_LVL_KEY

Left outer join performed on the LOYALTY ACCOUNT LEVEL HISTORY table on the basis of FREQUENTFLIERCARDKEY to get LOYALTY LEVEL KEY

Join performed between DWD_LYLTY_ACCT_LVL_HIST

table and DWD_BKG_FACT on FRQTFLIER_CARD_KEY column to fetch value for LYLTY_LVL_KEY

OFF_KEY

DWD_BKG_FACT

OFFICE_KEY

Direct mapping Data flows from operational to derived layer

NVL (OFF_KEY, pv_OFFICE_KEY_NVL) AS OFFICE_KEY

LYLTY_ACCT_CNT

DWD_BKG_FACT

LYLTY_ACCT_CNT

Count of distinct Frequent flyer card key

COUNT (DISTINCT

CASE WHEN (FF_CARD_KEY != pv_FF_CARD_KEY_nvl OR FF_CARD_KEY IS NOT NULL)

THEN SRC1.FF_CARD_KEY

ELSE NULL

END ) AS LYLTY_ACCT_CNT

ACTV_CNT

ACTV_CNT

Count of Frequent flyer card key when Calendar key is equal to Balance date key and balance date between Booking Date-six months and Booking date

count(FF_CARD_KEY) when CLNDR_KEY=BAL_DT_KEY and BAL_DT between BKG_DATE -6 and BKG_DATE

PAX_CNT

PAX_COUNT

Sum of Infant pax key

SUM(CASE WHEN INF_PAX_KEY != pv_INF_PAX_KEY

OR INF_PAX_KEY IS NOT NULL

THEN 2

ELSE 1

END)

BKD_CNT

BOOKED

Count of Booking creation time identifier

COUNT (

CASE

WHEN BKG_CREN_TM_ID != 0

THEN BKG_CREN_TM_ID

ELSE NULL)

CONFMD_CNT

CONFIRMATION_COUNT

Count of Booking creation time identifier When not null

COUNT (CASE

WHEN BKG_CONF_TM_ID IS NOT NULL

THEN BKG_CONF_TM_ID

END ) AS CONFIRMATION_COUNT

CNCLD_CNT

CANCELLED_COUNT

Count of Booking cancellation time id when not null

COUNT (

CASE

WHEN BKG_CNCL_TM_ID IS NOT NULL

THEN BKG_CNCL_TM_ID

END) AS CANCELLED_COUNT

FLN_PAX_CNT

DWD_BKG_FACT

FLN_PAX_CNT

Direct mapping. This indicates the flown passenger count

FLN_RVN_BY_ACTV

FLN_REV_BY_ACTV

Sum of Frequent Flyer card key where Calendar key is equal to balance date key and frequent flyer card key is not null and Balance date between Balance date minus 6 months and Balance date

sum(FF_CARD_KEY from LOYALTY ACCOUNT BALANCE HISTORY, CALENDAR, BOOKING FACT Table

WHERE CLNDR_KEY = BAL_DT_KEY

AND FRQTFLIER_CARD_KEY IS NOT NULL

) where FF_CARD_KEY AND BAL_DT BETWEEN BKG_DATE-6 AND BKG_DATE

FLN_RVN

DWD_BKG_FACT

FLN_REV

Direct mapping. This indicates the flown revenue

FLT_CNT

DWD_BKG_FACT

FLT_CNT

Count of Operating Flight key when not equal to -1 or when Operating Flight key is not null

COUNT (DISTINCT

CASE

WHEN SRC1.OPRTNG_FLT_KEY != -1

OR SRC1.OPRTNG_FLT_KEY IS NOT NULL

THEN SRC1.OPRTNG_FLT_KEY

ELSE NULL

END ) AS FLT_CNT

TKT_AMT

DWD_BKG_FACT

DWD_TKT

TKT_AMT

Left outer join performed on TICKET table on the basis of TICKET KEY to get TICKET AMOUNT

Join performed between TICKET

table and BOOKING FACT table on

TKT_KEY column to fetch value for TKT_AMT

CLNDR_KEY

DWM_CLNDR

DWD_BKG_FACT

BKG_CLNDR_KEY

Left outer join performed on CALENDAR Table on the basis of CALENDAR DATE to get CALENDAR KEY

Join performed between CALENDAR table and BOOKING FACT table on

CLNDR_DT column to fetch value for CLNDR_KEY

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

LYLTY_PRG_KEY

DWD_BKG_FACT

DWD_LYLTY_PRG

LYLTY_PRG_KEY

Left outer join performed on LOYALTY PROGRAM

Table on the basis of LOYALTY PROGRAM IDENTIFIER to get LOYALTY PROGRAM KEY

Join performed between LOYALTY PROGRAM

table and BOOKING FACT table on

LYLTY_PRG_ID column to fetch value for LYLTY_PRG_KEY

PKG_DWA_DLY_LYLTY_ACCT Mapping

Table 6-11 shows the mapping to populate target table DWA_DLY_LYLTY_ACCT. For more information, see DAILY LOYALTY ACCOUNT.

Source Tables

DWM_FRQTFLR

DWD_LYLTY_ACCT_LVL_HIST

DWD_LYLTY_PRG

DWD_LYLTY_ACCT_BAL_HIST

DWM_CLNDR

Table 6-11 PKG_DWA_DLY_LYLTY_ACCT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

DLY_LYLTY_ACCT_KEY

Sequence Generator

SEQ_DWA_DLY_LYLTY_ACCT

The unique key is generated by the sequence generator.

LYLTY_LVL_KEY

DWD_LYLTY_ACCT_BAL_HIST, DWD_LYLTY_ACCT_LVL_HIST,

DWM_CLNDR

DWD_LYLTY_ACCT_LVL_HIST. LYLTY_LVL_KEY

Left outer join is performed on the Loyalty Account Level History and Calendar table on the basis of Frequent Flyer Card Key and Calendar Key between Valid Date Key and Expiry Date Key to get the Loyalty Level Key.

Join performed between DWD_LYLTY_ACCT_BAL_HIST, DWD_LYLTY_ACCT_LVL_HIST and DWM_CLNDR tables on

DWD_LYLTY_ACCT_BAL_HIST.BAL_DT_KEY = DWM_CLNDR.CLNDR_KEY AND DWD_LYLTY_ACCT_LVL_HIST.FRQTFLIER_CARD_KEY = DWD_LYLTY_ACCT_BAL_HIST.FRQTFLIER_CARD_KEY

AND DWM_CLNDR.CLNDR_KEY BETWEEN DWD_LYLTY_ACCT_LVL_HIST.VLD_DT_KEY AND DWD_LYLTY_ACCT_LVL_HIST.EXPRY_DT_KEY columns to fetch value for LYLTY_LVL_KEY

GEO_CITY_KEY

DWD_LYLTY_ACCT_BAL_HIST

GEO_CITY_KEY

Direct mapping. It indicates the City Key of frequent flyers. Data flows from source to operational layer and then to the derived layer.

NVL(DWD_LYLTY_ACCT_BAL_HIST.GEO_CITY_KEY,-1)

CLNDR_KEY

DWD_LYLTY_ACCT_BAL_HIST, DWM_CLNDR

DWM_CLNDR. CLNDR_KEY

Left outer join is performed on the Calendar table to get the Calendar Key.

Join performed between DWD_LYLTY_ACCT_BAL_HIST and DWM_CLNDR tables on DWD_LYLTY_ACCT_BAL_HIST. BAL_DT_KEY = DWM_CLNDR. CLNDR_KEY columns to fetch value for CLNDR_KEY

LYLTY_ACCT_CNT

DWM_FRQTFLR

FRQTFLIER_CARD_KEY

The count of Frequent Flyer Card Key on basis of the Calendar Key between Account Open Date and Account Close Date and Calendar Key is between Valid Date Key and Expiry Date Key of Account Level History table.

Count(FRQTFLIER_CARD_KEY) from DWM_FRQTFLR where CLNDR_KEY between ACCT_OPEN_DT and ACCT_CLOSE_DT and join with DWD_LYLTY_ACCT_LVL_HIST where CLNDR_KEY between VLD_DT_KEY and EXPRY_DT_KEY

UPGRD_CNT

DWD_LYLTY_ACCT_LVL_HIST

FRQTFLIER_CARD_KEY

The count of Frequent Flyer on the basis of Calendar Key between Account Open Date and Account Close date and Calendar Key is equal to Valid date and before Valid Date the Loyalty Level Key is lower than the current Loyalty Level Key.

Count(FRQTFLIER_CARD_KEY) where CLNDR_KEY between ACCT_OPEN_DT and ACCT_CLOSE_DT and join with DWD_LYLTY_ACCT_LVL_HIST where CLNDR_KEY = VLD_DT_KEY and before VLD_DT_KEY the LYLTY_LVL_KEY is lower than current LYLTY_LVL_KEY.

DGRD_CNT

DWD_LYLTY_ACCT_LVL_HIST

FRQTFLIER_CARD_KEY

The count of Frequent Flyer on the basis of Calendar Key between Account Open Date and Account Close date and Calendar Key is equal to Valid date and before Valid Date the Loyalty Level Key is greater than the current Loyalty Level Key.

Count(FRQTFLIER_CARD_KEY) where CLNDR_KEY between ACCT_OPEN_DT and ACCT_CLOSE_DT and join with DWD_LYLTY_ACCT_LVL_HIST where CLNDR_KEY = VLD_DT_KEY and before VLD_DT_KEY the LYLTY_LVL_KEY is greater than current LYLTY_LVL_KEY.

ACTV_CNT

DWM_FRQTFLR

FRQTFLIER_CARD_KEY

The count of Frequent Flyer Card Key on the basis of Calendar Key between Account Open Date and Account Close date and Calendar Key is between Valid Date Key and Expiry Date Key and Balance Date Key between Calendar Date and six months before the Calendar Date.

Count(Distinct(FRQTFLIER_CARD_KEY)) where CLNDR_KEY between ACCT_OPEN_DT and ACCT_CLOSE_DT and join with DWD_LYLTY_ACCT_LVL_HIST where CLNDR_KEY between VLD_DT_KEY and EXPRY_DT_KEY and join with DWD_LYLTY_ACCT_BAL_HIST where BAL_DT_KEY between CLNDR_DT and (CLNDR_DT ¨C 6 month)

TOT_MLS_AMT

DWD_LYLTY_ACCT_BAL_HIST

CURR_MLS_AMT

The sum of the current miles amount earned on the Balance date and on basis of Calendar Key between Valid Date Key and Expiry Date Key.

Sum(CURR_MILES_AMT) where CLNDR_KEY = BAL_DT join with DWD_LYLTY_ACCT_LVL_HIST where CLNDR_KEY between VLD_DT_KEY and EXPRY_DT_KEY

MLS_ERND_AMT

DWD_LYLTY_ACCT_BAL_HIST

CURR_MLS_AMT, LAST_BAL_AMT

The sum of miles earned on the Balance Date and on basis of Calendar Key between Valid Date Key and Expiry Date Key.

Sum(if (CURR_MILES_AMT- LAST_BAL_AMT) >= 0 then (CURR_MILES_AMT- LAST_BAL_AMT) else 0) where CLNDR_KEY = BAL_DT_KEY join with DWD_LYLTY_ACCT_LVL_HIST where CLNDR_KEY between VLD_DT_KEY and EXPRY_DT_KEY

MLS_RDMD_AMT

DWD_LYLTY_ACCT_BAL_HIST

RDM_MLS_AMT

The sum of Redeem Miles Amount on the Balance Date and on basis of Calendar Key between Valid Date Key and Expiry Date Key.

Sum(REDEEM_MILES_AMT) where CLNDR_KEY = BAL_DT_KEY join with DWD_LYLTY_ACCT_LVL_HIST where CLNDR_KEY between VLD_DT_KEY and EXPRY_DT_KEY

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

LYLTY_PRG_KEY

DWD_LYLTY_ACCT_BAL_HIST

LYLTY_PRG_KEY

Direct mapping. The source system generated unique Loyalty Program Key.

NVL(DWD_LYLTY_ACCT_BAL_HIST.LYLTY_PRG_KEY,-1)

PKG_DWD_BKG_FACT Mapping

Table 6-12 shows the list of source tables for PKG_DWD_BKG_FACT. Table 6-13 shows the mapping to populate target table DWD_BKG_FACT. For more information, see BOOKING FACT.

Table 6-12 PKG_DWD_ BKG_FACT ETL Mapping Source Tables

Source Table Name

DWB_BKG_H

DWD_FLT_DETLS_FACT

DWD_PNR

DWD_TKT

DWM_ACCT

DWM_AIP

DWM_BKG_CLS_TYP

DWM_BKG_OFF

DWM_BKG_PAX

DWM_BKG_TST

DWM_CARR

DWM_CLNDR

DWM_CORP_CUST

DWM_FLT

DWM_FRQTFLR

DWM_GEOGRY

DWM_SALES_CHNL

DWM_SEG

DWM_TM

DWM_TRAF_CATG

DWR_INFLT_MEAL_H

Table 6-13 PKG_DWD_ BKG_FACT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

BKG_KEY

DWB_BKG_H

DWB_BKG_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

PAX_TKT_KEY

DWB_BKG_H, DWD_TKT

DWD_TKT.TKT_KEY

Left outer join is performed on the Ticket table on the basis of source system generated Ticket Identifier to get unique Ticket Key.

Join performed between DWB_BKG_H and DWD_TKT table on TKT_ID column to fetch value for TKT_KEY

OPRTNG_CARR_KEY

DWB_BKG_H, DWM_CARR

DWM_CARR. CARR_KEY

Left outer join is performed on the Carrier table on the basis of source system generated Carrier Identifier to get the unique Carrier Key.

Join performed between DWB_BKG_H and DWM_CARR table on CARR_ID column to fetch value for CARR_KEY

MKTG_CARR_KEY

DWM_CARR

DWM_CARR. CARR_KEY

Left outer join is performed on the Carrier table on the basis of source system generated Marketing Carrier code to get the unique Carrier Key.

Join performed between DWB_BKG_H and DWM_CARR table on CARR_CD column to fetch value for CARR_KEY

PAX_KEY

DWB_BKG_H, DWM_BKG_PAX

DWM_BKG_PAX.PAX_KEY

Left outer join is performed on the Booking Passenger table on the basis of source system generated Passenger Identifier to get the unique Passenger Key.

Join performed between DWB_BKG_H and DWM_BKG_PAX table on PAX_ID column to fetch value for PAX_KEY

TST_PAX_KEY

DWB_BKG_H, DWM_BKG_TST

DWM_BKG_TST.TST_KEY

Left outer join is performed on the Booking TST table on the basis of source system generated TST Identifier to get the unique TST Key.

Join performed between DWB_BKG_H and DWM_BKG_TST table on TST_ID column to fetch value for TST_KEY

ACCT_KEY

DWB_BKG_H, DWM_ACCT

DWM_ACCT. ACCT_KEY

Left outer join is performed on the Account table on the basis of source system generated Account Identifier to get the unique Account Key.

Join performed between DWB_BKG_H and DWM_ACCT table on ACCT_ID column to fetch value for ACCT_KEY

FRQTFLIER_CARD_KEY

DWB_BKG_H, DWM_FRQTFLR

DWM_FRQTFLR.FRQTFLIER_CARD_KEY

Left outer join is performed on the Frequent flyer table on the basis of unique Frequent flyer number to get the unique Frequent Flyer Card Key.

Join performed between DWB_BKG_H and DWM_FRQTFLR table on FRQTFLIER_NBR column to fetch value for FRQTFLIER_CARD_KEY

SALES_CHNL_ID

DWB_BKG_H, DWM_BKG_OFF,

DWM_SALES_CHNL

DWM_SALES_CHNL. SALES_CHNL_KEY

Left outer join is performed on the Booking Office and Sales Channel table on the basis of sales channel type to get the unique Sales Channel Key. And is later joined with booking table on the basis of office identifier.

Join performed between DWB_BKG_Hand DWM_BKG_OFF and DWM_FRQTFLR table on OFF_ID column to fetch value for SALES_CHNL_KEY

SEG_PAIR_KEY

DWB_BKG_H, DWM_SEG_PAIR

DWM_SEG_PAIR. SEG_PAIR_KEY

Left outer join is performed on the Segment Pair table on the basis of Segment Pair Identifier to get the unique Segment Pair Key.

Join performed between DWB_BKG_Hand DWM_SEG_PAIR table on SEG_PAIR_ID column to fetch value for SEG_PAIR_KEY

BKGCLS_KEY

DWB_BKG_H, DWM_BKG_CLS_TYP

DWM_BKG_CLS_TYP. BKG_CLS_KEY

Left outer join is performed on the Booking Class Type table on the basis of source system generated Booking Class Identifier to get the unique Booking Class Key.

Join performed between DWB_BKG_H and DWM_BKG_CLS_TYP table on BKG_CLS_ID column to fetch value for BKG_CLS_KEY

INF_TST_KEY

DWB_BKG_H, DWM_BKG_TST

DWM_BKG_TST.TST_KEY

Left outer join is performed on the Booking TST table on the basis of source system generated Infant TST Identifier to get the unique TST Key.

Join performed between DWB_BKG_H and DWM_BKG_TST table on TST_ID column to fetch value for TST_KEY

OPRTNG_SEG_KEY

DWB_BKG_H, DWM_SEG

DWM_SEG. SEG_KEY

Left outer join is performed on the Segment table on the basis of source system generated Segment Identifier to get the unique Segment Key.

Join performed between DWB_BKG_H and DWM_SEG. table on SEG_ID column to fetch value for SEG_KEY

MKTG_SEG_KEY

DWB_BKG_H, DWM_SEG

DWM_SEG.SEG_KEY

Left outer join is performed on the Segment table on the basis of source system generated Marketing Segment Identifier to get the unique Segment Key.

Join performed between DWB_BKG_H and DWM_SEG. table on SEG_ID column to fetch value for SEG_KEY

INF_TKT_KEY

DWB_BKG_H, DWD_TKT

DWD_TKT.TKT_KEY

Left outer join is performed on the Ticket table on the basis of source system generated Infant Ticket Identifier to get unique Ticket Key.

Join performed between DWB_BKG_H and DWD_TKT table on TKT_ID column to fetch value for TKT_KEY

INF_PAX_KEY

DWB_BKG_H, DWM_BKG_PAX

DWM_BKG_PAX.PAX_KEY

Left outer join is performed on the Booking Passenger table on the basis of source system generated Infant Passenger Identifier to get the unique Passenger Key.

Join performed between DWB_BKG_H and DWM_BKG_PAX table on PAX_ID column to fetch value for PAX_KEY

OPRTNG_FLT_KEY

DWB_BKG_H, DWM_FLT

DWM_FLT. FLT_KEY

Left outer join is performed on the Flight table on the basis of source system generated operating Flight Identifier to get the unique Flight Key.

Join performed between DWB_BKG_H and DWM_FLT table on FLT_ID column to fetch value for FLT_KEY

MKTG_FLT_KEY

DWB_BKG_H, DWM_FLT

DWM_FLT. FLT_KEY

Left outer join is performed on the Flight table on the basis of source system generated marketing Flight Identifier to get the unique Flight Key.

Join performed between DWB_BKG_H and DWM_FLT table on FLT_ID column to fetch value for FLT_KEY

ARVL_AIP_KEY

DWB_BKG_H, DWM_AIP, DWM_SEG

DWM_AIP. AIP_KEY

Left outer join is performed on the Airport and Segment table on the basis of source system generated Segment Identifier and Offpoint Airport name to get the unique Airport Key.

Join performed between DWB_BKG_H and DWM_AIP and DWM_SEG tables on OFPNT_AIP_NM and SEG_ID columns to fetch value for AIP_KEY

DEPTR_AIP_KEY

DWB_BKG_H, DWM_AIP, DWM_SEG

DWM_AIP. AIP_KEY

Left outer join is performed on the Airport and Segment table on the basis of source system generated Segment Identifier and Board Airport name to get the unique Airport Key.

Join performed between DWB_BKG_H and DWM_AIP and DWM_SEG tables on BRD_AIP_NMand SEG_ID columns to fetch value for AIP_KEY

BKG_CITY_KEY

DWB_BKG_H,

DWM_GEOGRY

DWB_BKG_H.BKG_CITY_CD

Left outer join is performed on the Geography table on the basis of source system generated Booking City Code to get the City Key.

Join performed between DWB_BKG_H and DWM_GEOGRY on BKG_CITY_CD columns to fetch value for CITY_KEY.

CORP_CUST_KEY

DWB_BKG_H, DWM_CORP_CUST

DWM_CORP_CUST. CORP_CUST_KEY

Left outer join is performed on the Corporate Customer table on the basis of Customer client code to get the unique Corporate Customer Key.

Join performed between DWB_BKG_H and DWM_CORP_CUST table on CUST_CLNT_CD column to fetch value for CORP_CUST_KEY

TRAF_CATG_KEY

DWB_BKG_H, DWM_TRAF_CATG to check in the package.

DWM_TRAF_CATG. TRAF_CATG_KEY

Left outer join is performed on the Traffic Category table on the basis of source system generated Traffic Category Identifier and Route Identifier to get the unique Traffic Category Key.

Join performed between DWB_BKG_H and DWM_TRAF_CATG table on TRAF_CATG_ID and ROUTE_ID columns to fetch value for TRAF_CATG_KEY

PNR_KEY

DWB_BKG_H , DWD_PNR

DWD_PNR.PNR_KEY

Left outer join is performed on the PNR table on the basis of source system generated PNR Identifier, Record locator and PNR Creation Date to get the unique PNR Key.

Join performed between DWB_BKG_H and DWD_PNR table on PNR_ID, RLOC and PNR_CREN_DT column to fetch value for PNR_KEY

BKG_CAMPN_ID

DWB_BKG_H

CAMPN_ID

Direct mapping. It is a unique number generated at the source system and the value flows from operational to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

BKG_CREN_TM_ID

DWB_BKG_H, DWM_TM

DWM_TM. TM_ID

Left outer join is performed on the Time table on the basis of Hour of the day and Minute of the day to get the unique Time Identifier.

Join performed between DWB_BKG_H and DWM_TM table on HOUR_OF_DAY and MINT_OF_DAY column to fetch value for TM_ID

WTLST_TM_ID

DWM_TM

DWM_TM. TM_ID

Left outer join is performed on the Time table on the basis of Hour of the day and Minute of the day to get the unique Time Identifier.

Join performed between DWB_BKG_H and DWM_TM table on HOUR_OF_DAY and MINT_OF_DAY column to fetch value for TM_ID

BKG_LAST_UPDT_TM_ID

DWM_TM

DWM_TM. TM_ID

Left outer join is performed on the Time table on the basis of Hour of the day and Minute of the day to get the unique Time Identifier.

Join performed between DWB_BKG_H and DWM_TM table on HOUR_OF_DAY and MINT_OF_DAY column to fetch value for TM_ID

BKG_CNCL_TM_ID

DWM_TM

DWM_TM. TM_ID

Left outer join is performed on the Time table on the basis of Hour of the day and Minute of the day to get the unique Time Identifier.

Join performed between DWB_BKG_H and DWM_TM table on HOUR_OF_DAY and MINT_OF_DAY column to fetch value for TM_ID

BKG_CONF_TM_ID

DWM_TM

DWM_TM. TM_ID

Left outer join is performed on the Time table on the basis of Hour of the day and Minute of the day to get the unique Time Identifier.

Join performed between DWB_BKG_H and DWM_TM table on HOUR_OF_DAY and MINT_OF_DAY column to fetch value for TM_ID

CPN_ID

DWB_BKG_H

CPN_ID

Direct mapping. It is the Coupon Identifier generated at source system and the data flows from operational to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

INF_CPN_ID

DWB_BKG_H

INF_CPN_ID

Direct mapping. It is the Infant Coupon Identifier generated at source system and the data flows from operational to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

CLNT_ID

CLS

DWB_BKG_H

CLS

Direct mapping. It is the Class booked. Data flows from operational to derived layer.

NIGHT_IND

DWB_BKG_H

NIGHT_IND

Direct mapping. It is the flag if the class booked is a Night Class, it is set to ¡¯Y¡¯ or else ¡¯N¡¯.

STS_CD

DWB_BKG_H

STS_CD

Direct mapping. It is the status of the booking. Data flows from operational to derived layer.

DEAD_IND

DWB_BKG_H

DEAD_IND

Direct mapping. It is the source system generated indicator whether the booking is canceled or not. Data flows from operational to derived layer.

Cancelled = ¡¯Y¡¯

BKG_LAST_UPDT_TMSTMP

DWB_BKG_H

BKG_LAST_UPD_TMSTMP

Direct mapping. It is the updated timestamp of the source system when the booking was last updated. Data flows from operational to derived layer.

ORGNL_ACTN_CD

DWB_BKG_H

ORGNL_ACTN_CD

Direct mapping. It is the action code used at the sell time. It is helpful in identifying overbooking. Data flows from operational to derived layer.

WTLST_IND

DWB_BKG_H

WTLST_IND

Direct mapping. It indicates if the booking has a waitlist status code. Data flows from operational to derived layer.

WTLST_DTTM

DWB_BKG_H

WTLST_DTTM

Direct mapping. It indicates the timestamp of the booking, if it is waitlisted. Data flows from operational to derived layer.

CNCL_DTTM

DWB_BKG_H

BKG_CNCL_DTTM

Direct mapping. It indicates the timestamp if the booking is canceled. Data flows from operational to derived layer.

CONF_DTTM

DWB_BKG_H

BKG_CONF_DTTM

Direct mapping. It indicates the timestamp if the booking is confirmed. Data flows from operational to derived layer.

CONF_IND

DWB_BKG_H

CONF_IND

Direct mapping. It indicates confirmed status code of the booking. Data flows from operational to derived layer.

BKG_CREN_TMSTMP

DWB_BKG_H

BKG_CREN_DTTM

Direct mapping. It indicates the timestamp of the source system when the ticket was booked. Data flows from operational to derived layer.

FST_IND

DWB_BKG_H

FST_IND

Direct mapping. Data flows from operational to derived layer.

BUSNS_IND

DWB_BKG_H

BUSNS_IND

Direct mapping. It indicates whether the booking is business class or not. Data flows from operational to derived layer.

ECONMY_IND

DWB_BKG_H

ECONMY_IND

Direct mapping. It indicates whether the booking is economy or not.

CDSH_CLS

DWB_BKG_H

CDSH_CLS

Direct mapping.

CBN_CD

DWB_BKG_H

CBN_CD

Direct mapping.

CPN_AMT

DWB_BKG_H

CPN_AMT

Direct mapping.

INF_CPN_AMT

DWB_BKG_H

INF_CPN_AMT

Direct mapping.

PNR_RLOC

DWB_BKG_H

BKG_PNR_RLOC

Direct mapping.

PNR_CREN_DT

DWB_BKG_H

PNR_CREN_DT

Direct mapping.

ACCT_NBR

DWB_BKG_H

ACCT_NBR

Direct mapping.

MKTG_REF_RLOC

DWB_BKG_H

MKTG_REF_RLOC

Direct mapping.

BKG_OPRTNG_FLT_DT_UTC

DWB_BKG_H

BKG_OPRTNG_FLT_DT_UTC

Direct mapping. It indicates the operating flight date in the UTC time zone.

BKG_MKTG_FLT_DT_LCL

DWB_BKG_H

BKG_MKTG_FLT_DT_LCL

Direct mapping. It indicates the marketing flight date in the local time zone.

BKG_MKTG_FLT_DT_UTC

DWB_BKG_H

BKG_MKTG_FLT_DT_UTC

Direct mapping. It indicates the marketing flight date in the UTC time zone.

CDSH_IND

DWB_BKG_H

CDSH_IND

Direct mapping.

RQST_TYP

DWB_BKG_H

RQST_TYP

Direct mapping.

SMOKNG_IND

DWB_BKG_H

SMOKNG_IND

Direct mapping.

SEAT_STS

DWB_BKG_H

SEAT_STS

Direct mapping.

SEAT_NBR

DWB_BKG_H

SEAT_NBR

Direct mapping. It indicates the seat number of the booking.

OVRBKG_TYP

DWB_BKG_H

OVRBKG_TYP

Direct mapping.

OVRBKG_RSN

DWB_BKG_H

OVRBKG_RSN_DESC

Direct mapping. It indicates the description for over booking.

BKG_STS_CHNG_IND

DWB_BKG_H

BKG_STS_CHNG_IND

Direct mapping. It indicates the booking status changes from booking to waitlisted or canceled.

BRDNG_IND

DWB_BKG_H

BRDNG_IND

Direct mapping. It is flag which indicates whether the booking has converted to checkin or the passenger of the booking has boarded.

GRPNG_IND

DWB_BKG_H

GRPNG_IND

Direct mapping. It indicates whether it is a group booking or not.

CLID_CARR_CD

DWB_BKG_H

CLID_CARR_CD

Direct mapping. It indicates the carrier code of the client.

CDSH_AGMT

DWB_BKG_H

CDSH_AGMT

Direct mapping.

FRQTFLIER_NBR

DWB_BKG_H

FRQTFLIER_NBR

Direct mapping. It is a source system generated unique Frequent Flyer number if the booking is done by the Frequent Flyer.

MEAL_CD

DWB_BKG_H, DWR_INFLT_MEAL_H

DWR_INFLT_MEAL_H. MEAL_CD

Left outer join is performed on the Inflight Meal table on the basis of source system generated Meal Identifier to get the Meal Code.

Join performed between DWR_BKG_OFF_H and DWR_INFLT_MEAL_H table on MEAL_ID column to fetch value for MEAL_CD

OPEN_IND

DWB_BKG_H

OPEN_IND

Direct mapping.

INFO_IND

DWB_BKG_H

INFRMTNL_IND

Direct mapping. It indicates if the booking is created as informational copy.

BKG_OPRL_FLT_DT

DWB_BKG_H

BKG_OPRTNG_FLT_DT_LCL

Direct mapping. It converts the Booking operating flight local timestamp to date.

TO_DATE(TO_CHAR(BKG_OPRTNG_FLT_DT_LCL,'DD-MON-YYYY'))

MKTG_SEG_DEPTR_DT_UTC

Column not listed in the package.

BKG_MKTG_FLT_DT

DWB_BKG_H

BKG_MKTG_FLT_DT_LCL

Direct mapping. It converts the Booking marketing flight local timestamp to date.

TO_DATE(TO_CHAR(SRC2.BKG_MKTG_FLT_DT_LCL,'DD-MON-YYYY'))

MKTG_SEG_DEPTR_DT_LCL

DWB_BKG_H

MKTG_SEG_DEPTR_DT_LCL

Direct mapping.

NGSPC_REF

DWB_BKG_H

NGSPC_REF

Direct mapping. It indicates the DBID of a NegoSpace block (if the booking is sold in a block)

OPRTNG_INFRMTNL_COPY

DWB_BKG_H

OPRTNG_INFRMTNL_COPY

Direct mapping. It indicates the operating information copy of the booking.

SUBCLS_CLS_SRC

DWB_BKG_H

SUBCLS_CLS_SRC

Direct mapping.

SUBCLS_CLS_CTRY

DWB_BKG_H

SUBCLS_CLS_CTRY

Direct mapping.

SUBCLS_CLS_SYS

DWB_BKG_H

SUBCLS_CLS_SYS

Direct mapping.

BKG_TYP

DWB_BKG_H

BKG_TYP

Direct mapping. It indicates the type of booking done. Data flows from operational layer to derived layer.

APIS_CMPLT_IND

DWB_BKG_H

APIS_CMPLT_IND

Direct mapping.

TST_PAX_FARE_BASIS_CD

DWB_BKG_H

TST_PAX_FARE_BASIS_CD

Direct mapping. It indicates the fare basis code of the passenger according to booking.

TST_INF_FARE_BASIS_CD

DWB_BKG_H

TST_INF_FARE_BASIS_CD

Direct mapping. It indicates the fare basis code of the infant passenger according to booking.

BKG_IP_ADDR

DWB_BKG_H

BKG_IP_ADDR

Direct mapping. It indicates the IP address used for booking.

BID_PRC

DWB_BKG_H

BID_PRC

Direct mapping. It indicates the bid price for the booking.

YLD

DWB_BKG_H

YLD

Direct mapping.

RVN_LOSS

DWB_BKG_H

RVN_LOSS

Direct mapping.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is new or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

BKG_GRP_IND

DWB_BKG_H

GRP_BKG_IND

Direct Mapping.

FLN_RVN

DWB_BKG_H

FLN_RVN

Direct Mapping. It indicates the flown revenue.

FLN_PAX_CNT

DWB_BKG_H

FLN_PAX_CNT

Direct Mapping. It indicates the flown passenger count.

NON_RVN_FLN_PAX_CNT

DWB_BKG_H

NON_RVN_FLN_PAX_CNT

Direct Mapping.

ONFLT_ORGN_TO_DEST_FLT_RVN

DWB_BKG_H

ONFLT_ORGN_TO_DEST_FLT_RVN

Direct Mapping.

FLN_RVN_ORGN_TO_DEST_OFRD

DWB_BKG_H

FLN_RVN_ORGN_TO_DEST_OFRD

Direct Mapping.

ONFLT_ORGN_TO_DEST_FLN_PAX_CNT

DWB_BKG_H

ONFLT_ORGN_TO_DEST_FLN_PAX_CNT

Direct Mapping.

OFRD_ORGN_TO_DEST_FLN_PAX_CNT

DWB_BKG_H

OFRD_ORGN_TO_DEST_FLN_PAX_CNT

Direct Mapping.

CPN_CNT

DWB_BKG_H

CPN_CNT

Direct Mapping.

ONBRD_RVN

DWB_BKG_H

ONBRD_RVN

Direct Mapping.

EXCESS_BAG_RVN

DWB_BKG_H

EXCESS_BAG_RVN

Direct Mapping.

FEES_RVN

DWB_BKG_H

FEES_RVN

Direct Mapping.

CHARTER_RVN

DWB_BKG_H

CHARTER_RVN

Direct Mapping.

BELLY_CARGO_RVN

DWB_BKG_H

BELLY_CARGO_RVN

Direct Mapping.

CDSH_RVN

DWB_BKG_H

CDSH_RVN

Direct Mapping.

OTR_RVN

DWB_BKG_H

OTR_RVN

Direct Mapping.

BKG_OPRTNG_FLT_DT_LCL

DWB_BKG_H

BKG_OPRTNG_FLT_DT_LCL

Direct mapping. It indicates the marketing flight date in the Local time zone.

OFF_KEY

DWB_BKG_H, DWM_BKG_OFF,

DWM_SALES_CHNL

DWM_BKG_OFF. OFF_KEY

Left outer join is performed on the Booking Office and Sales Channel table on the basis of source system generated Office Identifier to get the unique Office Key.

Join performed between DWB_BKG_Hand DWM_BKG_OFF and DWM_FRQTFLR table on OFF_ID column to fetch value for OFF_KEY

OPRTNG_SEG_DEPTR_LCL_DT_KEY

DWD_FLT_DETLS_FACT

DWD_FLT_DETLS_FACT. DEPTR_LCL_DT_KEY

Left outer join is performed on the Flight Details Fact Booking Office on the basis of Segment key, Flight key, Flight date, Effective date and End date to get the Departure Local Date Key.

Join performed between DWB_BKG_Hand DWD_FLT_DETLS_FACT table on SEG_KEY, FLT_KEY, FLT_DT, EFFECTIVE_DT and END_DT column to fetch value for DEPTR_LCL_DT_KEY

OPRTNG_SEG_DEPTR_UTC_DT_KEY

DWD_FLT_DETLS_FACT

DWD_FLT_DETLS_FACT. DEPTR_UTC_DT_KEY

Left outer join is performed on the Flight Details Fact Booking Office on the basis of Segment key, Flight key, Flight date, Effective date and End date to get the Departure UTC Date Key.

Join performed between DWB_BKG_Hand DWD_FLT_DETLS_FACT table on SEG_KEY, FLT_KEY, FLT_DT, EFFECTIVE_DT and END_DT column to fetch value for DEPTR_UTC_DT_KEY

PKG_DWD_CALL_CNTR_PRFMNC Mapping

Table 6-14 shows the mapping to populate target table DWD_CALL_CNTR_PRFMNC. For more information, see CALL CENTER PERFORMANCE.

Source Tables

DWB_PRTY_INTRATN_CALL_H

DWB_PRTY_INTRATN_H

DWM_CLNDR

DWM_BKG_OFF

DWR_SMS_AGNT_H

Table 6-14 PKG_DWD_CALL_CNTR_PRFMNC ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

DLY_CALL_CNTR_PRFMNC_KEY

DWB_PRTY_INTRATN_CALL_H

DWB_PRTY_INTRATN_CALL_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

INTRATN_EVNT_DTTM_KEY

DWB_PRTY_INTRATN_H

INTRATN_EVNT_DTTM_KEY

Left outer join is performed on the PARTY INTERACTION H table to get INTRATN_EVNT_DT_AND_TM and Left outer join CALENDAR table to get INTRATN_EVNT_DTTM_KEY

Join performed between PARTY INTERACTION H and CALENDAR table on CLNDR_DT column to fetch value for INTRATN_EVNT_DTTM_KEY

PRTY_INTRATN_CALL_ID

DWB_PRTY_INTRATN_CALL_H

PRTY_INTRATN_CALL_ID

Direct mapping. It is the unique number generated at source system and the data flows from source to operational and then to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

TALK_DURN

DWB_PRTY_INTRATN_CALL_H

TALK_DURN

Direct mapping. It indicates the duration of the talk time. Data flows from operational to derived layer.

HLDD_BY_IVR_IND

DWB_PRTY_INTRATN_CALL_H

HLDD_BY_IVR_IND

Direct mapping. The call was handled by IVR. Y, N, P(artially). Data flows from operational to derived layer.

CUST_STSFYN_IND

DWB_PRTY_INTRATN_CALL_H

CUST_STSFYN_IND

Direct mapping. It indicates whether the customer was satisfied with the interaction. Data flows from operational to derived layer.

INTRATN_DURN

DWB_PRTY_INTRATN_CALL_H

INTRATN_DURN

Direct mapping. It indicates the interaction duration in minutes. Data flows from operational to derived layer.

CALL_CNTR_AGNT_KEY

DWB_PRTY_INTRATN_CALL_H

CALL_CNTR_AGNT_KEY

QUE_DURN

DWB_PRTY_INTRATN_CALL_H

No column mapping

HLD_DURN

DWB_PRTY_INTRATN_CALL_H

No column mapping

CALL_CNTR_KEY

DWB_PRTY_INTRATN_CALL_H

CALL_CNTR_KEY

A unique key generated by the source system. Data flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

PKG_DWD_CUST_SRVY Mapping

Table 6-15 shows the mapping to populate target table DWD_CUST_SRVY. For more information, see CUSTOMER SURVEY.

Source Tables

DWB_PRTY_INTRATN_THREAD

DWM_CLNDR

DWM_SVC

DWM_INTRATN_RSN

DWM_INTRATN_RSLT

Table 6-15 PKG_DWD_CUST_SRVY ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

CUST_SRVY_KEY

DWB_PRTY_INTRATN_THRD_H

DWB_PRTY_INTRATN_THRD_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

SVC_KEY

DWB_PRTY_INTRATN_THRD_H, DWM_SVC

SVC_KEY

Left outer join is performed on the SERVICE table on the basis of SERVICE ID to get SERVICE KEY.

Join performed between DWB_PRTY_INTRATN_THRD_H and DWM_SVC table on SVC_ID column to fetch value for SVC_KEY.

INTRATN_RSN_KEY

DWB_PRTY_INTRATN_THRD_H, DWM_INTRATN_RSN

INTRATN_RSN_KEY

Left outer join is performed on the INTERACTION REASON table on the basis of INTERACTION REASON ID to get the INTERACTION REASON KEY.

Join performed between DWB_PRTY_INTRATN_THRD_H and DWM_INTRATN_RSN

table on INTRATN_RSN_ID column to fetch value for INTRATN_RSN_KEY

INTRATN_THRD_STRT_DT_KEY

DWB_PRTY_INTRATN_THRD_H, DWM_CLNDR

INTRATN_THRD_STRT_DT

Left outer join is performed on the CALENDAR table on the basis of CLNDR_DT to get the INTERACTION THREADSTARTDATEKEY

Join performed between DWB_PRTY_INTRATN_THRD_H and DWM_CLNDR table on CLNDR_DT column to fetch value for INTRATN_THRD_STRT_DT_KEY

PRTY_INTRATN_THRD_ID

DWB_PRTY_INTRATN_THRD_H

PRTY_INTRATN_THRD_ID

Direct mapping. Data flows from operational to derived layer.

INTRATN_THRD_CLOSE_DT_KEY

DWB_PRTY_INTRATN_THRD_H, DWM_CLNDR

INTRATN_THRD_CLOSE_DT

Left outer join is performed on the CALENDAR table on the basis of CALENDAR DATE to get the INTERACTION THREADCLOSEDATEKEY

Join performed between DWB_PRTY_INTRATN_THRD_H

and DWM_CLNDR table on CLNDR_ DT column to fetch value for INTRATN_THRD_CLOSE_DT_KEY

INTRATN_THRD_TRGT_DT_KEY

DWB_PRTY_INTRATN_THRD_H , DWM_CLNDR

INTRATN_TRGT_DT

Left outer join is performed on the CALENDAR table on the basis of CALENDAR DATE to get the INTERACTION THREAD TARGET DATEKEY

Join performed between DWB_PRTY_INTRATN_THRD_H and DWM_CLNDR table on CLNDR_DT column to fetch value for INTRATN_THRD_TRGT_DT_KEY

INTRATN_RSLT_KEY

DWB_PRTY_INTRATN_THRD_H , DWM_INTRATN_RSLT

INTRATN_RSLT_TYP_ID

Left outer join is performed on the INTERACTION RESULT table on the basis of INTERACTION RESULT ID to get the INTERACTION RESULT KEY

Join performed between DWB_PRTY_INTRATN_THRD_H and DWM_INTRATN_RSLT table on INTRATN_RSLT_ ID column to fetch value for INTRATN_RSLT_KEY

CUST_ID

DWB_PRTY_INTRATN_THRD_H

CUST_ID

Direct mapping. Data flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWD_FLT_DETLS_FACT Mapping

Table 6-16 shows the mapping to populate target table DWD_FLT_DETLS_FACT. For more information, see FLIGHT DETAILS FACT.

Source Tables

DWB_FLT_SCHD_H

DWM_SEG

DWM_LEG

DWM_FLT

DWM_ACFT_VER

DWM_TRAF_CATG

DWM_CARR

DWM_CLNDR

DWM_AIP

Table 6-16 PKG_DWD_FLT_DETLS_FACT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

FLT_DETLS_FACT_KEY

DWB_FLT_SCHD_H

DWB_FLT_SCHD_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

SEG_KEY

DWB_FLT_SCHD_H DWM_SEG

SEG_KEY

Left outer join is performed on the SEGMENT

table on the basis of SEGMENT ID to get the SEGMENT KEY

Join performed between DWB_FLT_SCHD_H table and DWM_SEG table on SEG_ID column to fetch value for SEG_ KEY

LEG_KEY

DWB_FLT_SCHD_H DWM_LEG

LEG_KEY

Left outer join is performed on the LEG table on the basis of LEGID to get the LEGKEY

Join performed between DWB_FLT_SCHD_H table and DWM_LEG table on LEG_ID column to fetch value for LEG_KEY

ARVL_AIP_KEY

DWM_LEG DWM_AIP DWB_FLT_SCHD_H

ARVL_AIP_KEY

Left outer join is performed on the LEG and AIRPORT table with FLIGHT SCHEDULE

Table on the basis of LEGID to get ARRIVALAIRPORTKEY

Join performed between DWM_AIP table and DWM_LEG table with DWB_FLT_SCHD_H

Table on the basis of

LEG_ID to fetch value for ARVL_AIP_KEY

DEPTR_AIP_KEY

DWM_LEG DWM_AIP DWB_FLT_SCHD_H

DEPTR_AIP_KEY

Left outer join is performed on the

LEG and AIRPORT table ON the basis of LEGID to get DEPARTUREAIRPORTKEY

Join performed between DWM_LEG and DWM_AIP table and left outer join with DWB_FLT_SCHD_H table on the basis of

LEG_ID to fetch value for DEPTR_AIP_KEY

TRAF_CATG_KEY

DWM_TRAF_CATG

DWB_FLT_SCHD_H

TRAF_CATG_KEY

Left outer join is performed on the TRAFFIC CATEGORY table on the basis of TRAFFIC CATEGORY ID to get TRAFFIC CATEGORY KEY

Join performed between DWB_FLT_SCHD_H and DWM_TRAF_CATG table on the

basis of TRAF_CATG_ID column to fetch value for TRAF_CATG_ KEY

ACV_KEY

DWB_FLT_SCHD_H

ACV_KEY

FLT_KEY

DWB_FLT_SCHD_H

DWM_FLT

FLT_KEY

Left outer join is performed on the FLIGHT on the basis of FLIGHT ID to get FLIGHT KEY

NVL(FLT_KEY,-1)

CDSH_TYP

DWB_FLT_SCHD_H

FLT_CDSH_TYP

Direct mapping. This indicates the type of the flight in a codeshare. Data flows from operational to derived layer.

STS_FLG

DWB_FLT_SCHD_H

STS_FLG

Direct mapping. This store the active status flag for the flight used for analysis of active flights this Data flows from operational to derived layer.

EFFECTIVE_DT

DWB_FLT_SCHD_H

EFFECTIVE_DT

Direct mapping. This stores the start date of the flight in the system. That is when the first time this flight is introduced. Data flows from operational to derived layer.

END_DT

DWB_FLT_SCHD_H

END_DT

Direct mapping. This stores the end date of the flight in the system. That is when the flight stops operation. Data flows from operational to derived layer.

ACV_TOT_CPCTY

DWB_FLT_SCHD_H

LEG_ACV_TOT_CPCTY

Direct mapping. This stores the total capacity of the flight. Data flows from operational to derived layer.

SALEBLE_TOT_CPCTY

DWB_FLT_SCHD_H

TOT_SLBL_CPCTY

Direct mapping This stores the total salable capacity of the flight. Data flows from operational to derived layer.

NAUTICAL_MLS

DWB_FLT_SCHD_H

NAUTICAL_MLS

Direct mapping. Data flows from operational to derived layer.

NAUTICAL_TO_KILOMETER_CONV_IND

DWB_FLT_SCHD_H

NAUTICAL_TO_KILOMETER_CONV_IND

Direct mapping. Data flows from operational to derived layer.

ACV

DWB_FLT_SCHD_H

LEG_ACV

Direct mapping. This stores the aircraft version of the flight. Data flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

ARVL_LCL_DT_KEY

DWB_FLT_SCHD_H DWM_CLNDR

ARVL_LCL_DT_KEY

Left outer join is performed on the CALENDAR table on the basis of CALENDAR DATE to get ARRIVAL LOCAL DATE KEY

NVL(ARVL_LCL_DT_KEY,-1)

ARVL_UTC_DT_KEY

DWB_FLT_SCHD_H DWM_CLNDR

ARVL_UTC_DT_KEY

Left outer join is performed on the CALENDAR table on the basis of CALENDAR DATE to get ARRIVAL UTC DATE KEY

NVL(ARVL_UTC_DT_KEY,-1)

DEPTR_LCL_DT_KEY

DWB_FLT_SCHD_H DWM_CLNDR

DEPTR_LCL_DT_KEY

Left outer join is performed on the CALENDAR table on the basis of CALENDAR DATE get DEPARTURE LOCAL DATE KEY

NVL(DEPTR_LCL_DT_KEY,-1)

DEPTR_UTC_DT_KEY

DWB_FLT_SCHD_H DWM_CLNDR

DEPTR_DTTM_UTC

Left outer join is performed on the CALENDAR table on the basis of CALENDAR DATE to get DEPARTURE UTCDATEKEY

NVL(DEPTR_UTC_DT_KEY,-1)

FLT_CARR_CD

DWM_CARR DWB_FLT_SCHD_H

FLT_CARR_KEY

Left outer join is performed on the CARRIER table on the basis of CARRIER CODE to get the value of FLIGHTCARRIERCODE

Join performed between DWB_FLT_SCHD_H

and DWM_CARR table on SEG_ID column to fetch value for FLT_CARR_KEY

FLT_DT

DWB_FLT_SCHD_H

FLT_DT

Direct mapping. Data flows from operational to derived layer.

FLT_NBR

DWB_FLT_SCHD_H

FLT_NBR

Direct mapping. This stores the flight number of the carrier. Data flows from operational to derived layer.

LEG_ACFT_SLBL_CONFIG_CD

DWB_FLT_SCHD_H

LEG_ACFT_SLBL_CONFIG_CD

Direct mapping. This identifies the fitted configuration of the aircraft. Data flows from operational to derived layer.

FLT_ALPHA_SFX

DWB_FLT_SCHD_H

FLT_ALPHA_SFX

Direct mapping. Data flows from operational to derived layer.

LEG_ACFT_TYP

DWB_FLT_SCHD_H

LEG_ACFT_TYP

Direct mapping. Data flows from operational to derived layer.

PKG_DWD_LYLTY_ACCT_BAL_HIST Mapping

Table 6-17 shows the mapping to populate target table DWD_LYLTY_ACCT_BAL_HIST. For more information, see LOYALTY ACCOUNT BALANCE HISTORY.

Source Tables

DWB_LYLTY_ACCT_BAL_HIST_H

DWM_CLNDR

DWM_FRQTFLR

DWD_LYLTY_PRG

Table 6-17 PKG_DWD_LYLTY_ACCT_BAL_HIST ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

LYLTY_ACCT_BAL_HIST_KEY

DWB_LYLTY_ACCT_BAL_HIST_H

DWB_LYLTY_ACCT_BAL_HIST_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

GEO_CITY_KEY

DWB_LYLTY_ACCT_BAL_HIST_H, DWM_FRQTFLR

DWM_FRQTFLR.CITY_KEY

Left outer join is performed on the Frequent Flyer table on the basis of source system generated Frequent Flyer Identifier to get the City Key.

Join performed between DWB_LYLTY_ACCT_BAL_HIST_H and DWM_FRQTFLR table on FRQTFLR_CARD_ID column to fetch value for CITY_KEY

BAL_DT_KEY

DWB_LYLTY_ACCT_BAL_HIST_H, DWM_CLNDR

DWM_CLNDR. CLNDR_KEY

Left outer join is performed on the Calendar table on the basis of the Calendar Date to get the Calendar Key.

Join performed between DWB_LYLTY_ACCT_BAL_HIST_H and DWM_CLNDR table on DWB_LYLTY_ACCT_BAL_HIST_H. BAL_DT = DWM_CLNDR.CLNDR_DT columns to fetch value for CLNDR_KEY

LYLTY_ACCT_BAL_HIST_ID

DWB_LYLTY_ACCT_BAL_HIST_H

LYLTY_ACCT_BAL_HIST_ID

Direct mapping. It is the unique number generated at source system and the data flows from source to operational and then to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

CURR_MLS_AMT

DWB_LYLTY_ACCT_BAL_HIST_H

CURR_MLS_AMT

Direct mapping. It indicates the current miles amount after balance. Data flows from operational to derived layer.

LAST_BAL_AMT

DWB_LYLTY_ACCT_BAL_HIST_H

LAST_BAL_AMT

Direct mapping. It indicates the last balance points before update of any points. Data flows from operational to derived layer.

PROM_MLS_AMT

DWB_LYLTY_ACCT_BAL_HIST_H

PROM_MLS_AMT

Direct mapping. It indicates the points earned in a promotion. Data flows from operational to derived layer.

EXTRA_MLS_AMT

DWB_LYLTY_ACCT_BAL_HIST_H

EXTRA_MLS_AMT

Direct mapping. It indicates the frequent flyer gets extra points based on his account level for a particular flight. Data flows from operational to derived layer.

EXPRD_MLS_AMT

DWB_LYLTY_ACCT_BAL_HIST_H

EXPRD_MLS_AMT

Direct mapping. It indicates the points expired on the balance day. Data flows from operational to derived layer.

RDM_MLS_AMT

DWB_LYLTY_ACCT_BAL_HIST_H

RDM_MLS_AMT

Direct mapping. It indicates the points redeemed on the balance day. Data flows from operational to derived layer.

OTR_NON_AIR_MLS_AMT

DWB_LYLTY_ACCT_BAL_HIST_H

OTR_NON_AIR_MLS_AMT

Direct mapping. It indicates the points earned from non airline partners. Data flows from operational to derived layer.

FRQTFLIER_CARD_KEY

DWB_LYLTY_ACCT_BAL_HIST_H, DWM_FRQTFLR

DWM_FRQTFLR.FRQTFLIER_CARD_KEY

Left outer join is performed on the Frequent Flyer table on the basis of source system generated Frequent Flyer Card Identifier to get the unique Frequent Flyer Card Key.

Join performed between DWB_LYLTY_ACCT_BAL_HIST_H and DWM_FRQTFLR table on FRQTFLR_CARD_ID columns to fetch value for FRQTFLIER_CARD_KEY

CRT_DT_KEY

DWB_LYLTY_ACCT_BAL_HIST_H, DWM_CLNDR

DWM_CLNDR. CLNDR_KEY

Left outer join is performed on the Calendar table on the basis of the Calendar Date to get the Calendar Key.

Join performed between DWB_LYLTY_ACCT_BAL_HIST_H and DWM_CLNDR table on DWB_LYLTY_ACCT_BAL_HIST_H. CRT_DT = DWM_CLNDR.CLNDR_DT columns to fetch value for CLNDR_KEY

UPDT_DT_KEY

DWB_LYLTY_ACCT_BAL_HIST_H, DWM_CLNDR

DWM_CLNDR. CLNDR_KEY

Left outer join is performed on the Calendar table on the basis of the Calendar Date to get the Calendar Key.

Join performed between DWB_LYLTY_ACCT_BAL_HIST_H and DWM_CLNDR table on DWB_LYLTY_ACCT_BAL_HIST_H. UPDT_DT = DWM_CLNDR.CLNDR_DT columns to fetch value for CLNDR_KEY

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

LYLTY_PRG_KEY

DWD_LYLTY_PRG, DWM_FRQTFLR

DWD_LYLTY_PRG. LYLTY_PRG_KEY

Left outer join is performed on the Loyalty Program table on the basis of the source system generated Loyalty Program Identifier to get the unique Program Key.

Join performed between DWD_LYLTY_PRG and DWM_FRQTFLR table on LYLTY_PRG_ID column to fetch value for LYLTY_PRG_KEY

PKG_DWD_LYLTY_ACCT_LVL_HIST Mapping

Table 6-18 shows the mapping to populate target table DWD_LYLTY_ACCT_LVL_HIST. For more information, see LOYALTY ACCOUNT LEVEL HISTORY.

Source Tables

DWB_LYLTY_ACCT_LVL_HIST_H

DWM_CLNDR

DWM_LYLTY_LVL

DWM_FREQUENT_FLYER

Table 6-18 PKG_DWD_LYLTY_ACCT_LVL_HIST ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

LYLTY_ACCT_LVL_HIST_KEY

DWB_LYLTY_ACCT_LVL_HIST_H

DWB_LYLTY_ACCT_LVL_HIST_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

ACCT_LVL_HIST_ID

DWB_LYLTY_ACCT_LVL_HIST_H

ACCT_LVL_HIST_ID

Direct mapping Data flows from operational to derived layer.

FRQTFLIER_CARD_KEY

DWB_LYLTY_ACCT_LVL_HIST_H

DWM_FRQTFLR

FRQTFLIER_CARD_KEY

Left outer join performed on FREQUENT FLYER table on the basis of FREQUENT FLYER CARDID To get FREQUENT FLYER CARDKEY

Join performed between DWB_LYLTY_ACCT_LVL_HIST and DWM_FRQTFLR table on the basis of FRQTFLIER_CARD_ID column to fetch value for FRQTFLIER_ CARD_KEY

LYLTY_LVL_KEY

DWB_LYLTY_ACCT_LVL_HIST_H

DWM_LYLTY_LVL

LYLTY_LVL_KEY

Left outer join performed on LOYALTY LEVEL on the basis of LOYALTY LEVEL ID to get LOYALTY LEVEL KEY

Join performed between DWB_LYLTY_ACCT_LVL_HIST and DWM_LYLTY_LVL table on LYLTY_LVL_ID column to fetch value for LYLTY_LVL_KEY

VLD_DT_KEY

DWB_LYLTY_ACCT_LVL_HIST_H

DWM_CLNDR

VLD_DT_KEY

Left outer join performed on

CALENDAR table on the basis of CALENDAR DATE

to get VALIDDATEKEY

Join performed between DWB_LYLTY_ACCT_LVL_HIST_H

and DWM_CLNDR table on CLNDR_DT column to fetch value for VLD_DT_KEY

EXPRY_DT_KEY

DWB_LYLTY_ACCT_LVL_HIST_H

DWM_CLNDR

EXPRY_DT_KEY

Left outer join performed on CALENDAR table on the basis of CALENDAR DATE to get EXPIRY DATE KEY

Join performed between DWB_LYLTY_ACCT_LVL_HIST_H and DWM_CLNDR table on CLNDR_DT column to fetch value for EXPRY _DT_KEY

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWD_LYLTY_PRG Mapping

Table 6-19 shows the mapping to populate target table DWD_LYLTY_PRG. For more information, see LOYALTY PROGRAM.

Source Table

DWB_LYLTY_PRG_H

Table 6-19 PKG_DWD_LYLTY_PRG ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

LYLTY_PRG_KEY

DWB_LYLTY_PRG_H

DWB_LYLTY_PRG_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

LYLTY_PRG_ID

DWB_LYLTY_PRG_H

LYLTY_PRG_ID

Direct mapping. This indicates a unique ID associated with a loyalty program. Data flows from operational to derived layer.

LYLTY_PRG_NM

DWB_LYLTY_PRG_H

LYLTY_PRG_NM

Direct mapping. This indicates Loyalty Program name. Data flows from operational to derived layer.

LYLTY_PRG_DESC

DWB_LYLTY_PRG_H

LYLTY_PRG_DESC

Direct mapping. This gives detail description of the loyalty program. Data flows from operational to derived layer.

LYLTY_PRG_STRT_DT

DWB_LYLTY_PRG_H

LYLTY_PRG_STRT_DT

Direct mapping. This indicates the start date of the loyalty program. Data flows from operational to derived layer.

LYLTY_PRG_END_DT

DWB_LYLTY_PRG_H

LYLTY_PRG_END_DT

Direct mapping. This indicates the end date of the loyalty program. Data flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWD_PNR Mapping

Table 6-20 shows the mapping to populate target table DWD_PNR. For more information, see PASSENGER NAME RECORD.

Source Table

DWL_PNR_TYP_H

DWB_PNR_H

Table 6-20 PKG_DWD_PNR ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

PNR_KEY

DWB_PNR_H

DWB_PNR_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

PNR_ID

DWB_PNR_H

PNR_ID

Direct mapping This indicates the primary key of the table assigned by source system ADS and is called adsuniqueid of the entity Data flows from operational to derived layer.

RLOC

DWB_PNR_H

RLOC

Direct mapping Data flows from operational to derived layer.

CURR_ENVLP

DWB_PNR_H

CURR_ENVLP

Direct mapping Data flows from operational to derived layer.

NVL(CURR_ENVLP,pv_CURRENT_ENVELOPE_NVL) AS CURR_ENVLP

DORMANT_IND

DWB_PNR_H

DORMANT_IND

Direct mapping. This indicates if a PNR is a Dormant PNR or not, This is created during bookings. Data flows from operational to derived layer.

PURGE_DT

DWB_PNR_H

PURGE_DT

Direct mapping Data flows from operational to derived layer.

NON_CMCL_NIP

DWB_PNR_H

NON_CMCL_PNR

Direct mapping. If the PNR is a group PNR; this contains the number of unassigned names.

This field is N/A for Individual PNRs, Non Commercial PNRs or Corporate PNR Data flows from operational to derived layer.

NON_CMCL_NM

DWB_PNR_H

NON_CMCL_NM

Direct mapping. This stores the value if the PNR is a non commercial PNR, it contains the non commercial name; this field is not available for individual pnr, group or corp pnr. Data flows from operational to derived layer.

UNASSGND_NIP

DWB_PNR_H

UNASSGND_NIP

Direct mapping Data flows from operational to derived layer.

GRP_NM

DWB_PNR_H

GRP_NM

Direct mapping Data flows from operational to derived layer.

JRNY_ORGN

DWB_PNR_H

JRNY_ORGN

Direct mapping Data flows from operational to derived layer.

JRNY_DEST

DWB_PNR_H

JRNY_DEST

Direct mapping Data flows from operational to derived layer.

JRNY_RET_PNT

DWB_PNR_H

JRNY_RET_PNT

Direct mapping Data flows from operational to derived layer.

JRNY_TRIP_TYP

DWB_PNR_H

JRNY_TRIP_TYP

Direct mapping Data flows from operational to derived layer.

ORGL_SEAT_CNT

DWB_PNR_H

ORGL_SEAT_CNT

Direct mapping. This stores the original seat count of the PNR. Data flows from operational to derived layer.

CURR_SEAT_CNT

DWB_PNR_H

CURR_SEAT_CNT

Direct mapping Data flows from operational to derived layer.

CURR_NM_CNT

DWB_PNR_H

CURR_NM_CNT

Direct mapping Data flows from operational to derived layer

PNR_TYP_CD

DWB_PNR_H

DWL_PNR_TYP_H

PNR_TYP

Left outer join performed on PASSENGER NAME RECORD TYPE

on the basis of PASSENGER NAME RECORD TYPE

IDENTIFIER to get PASSENGER NAME RECORD TYPE

Join performed between DWB_PNR_H and DWL_PNR_TYP_H table on PNR_TYP_ID column to fetch value for PNR_TYP

PNR_CREN_DT

DWB_PNR_H

PNR_CRTD_DTTM

Direct mapping Data flows from operational to derived layer

PNR_TYP_ID

DWB_PNR_H

PNR_TYP_ID

Direct mapping This stores the type of PNR

IND=individual, GRP=Group , COR= Corporate

NCO= Non Commercial Data flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWD_TKT Mapping

Table 6-21 shows the mapping to populate target table DWD_TKT. For more information, see TICKET.

Source Table

DWB_TKT_H

Table 6-21 PKG_DWD_TKT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

TKT_KEY

DWB_TKT_H

DWB_TKT_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

TKT_ID

DWB_TKT_H

TKT_ID

Direct mapping This indicates the primary key of the table assigned by source system ADS and is called adsunique id of the entity Data flows from operational to derived layer.

PRIMRY_NBR

DWB_TKT_H

PRIMRY_NBR

Direct mapping This stores the Primary number assigned to the ticket. Data flows from operational to derived layer.

CONJTVE_TKT_CNT

DWB_TKT_H

NBR_OF_CONJUCTIVE_TKT

Direct mapping This stores the number of tickets issued with this ticket. Data flows from operational to derived layer.

CRCY

DWB_TKT_H

TKT_CRCY

Direct mapping. This stores the ticket currency, the base currency in which the ticket is issued. Data flows from operational to derived layer.

TOT_AMT

DWB_TKT_H

TOT_AMT

Direct mapping This stores the total ticket amount including tax. Data flows from operational to derived layer.

PAX_TYP

DWB_TKT_H

PAX_TYP

Direct mapping. This stores the type of passenger for this ticket Data flows from operational to derived layer.

ISNG_OFF_ID

DWB_TKT_H

OFF_ID

Direct mapping. This stores the issuing office id of the ticket Data flows from operational to derived layer.

DT_OF_ISS

DWB_TKT_H

TKT_ISNG_DT

Direct mapping This stores Date of issue of ticket. Available only If ticket issued in Amadeus reservation system. Data flows from operational to derived layer.

TO_TIMESTAMP(TKT_ISNG_DT,'DD-MON-YY H12.MI.SS.FF AM')

ISS_OFF_IATA_CD

DWB_TKT_H

ISNG_OFF_IATA_CD

Direct mapping This stores the Iata code of the ticket issuing office Data flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_ACCT Mapping

Table 6-22 shows the mapping to populate target table DWM_ACCT. For more information, see ACCOUNT.

Source Table Name

DWR_ACCT_H

Table 6-22 PKG_DWM_ACCT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

ACCT_KEY

DWR_ACCT_H

DWR_ACCT_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

ACCT_ID

DWR_ACCT_H

ACCT_ID

Direct mapping. It is the unique number generated at source system and the data flows from source to operational and then to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

ACCT_NBR

DWR_ACCT_H

ACCT_NBR

Direct mapping. The account number is generated to which the booking is accounted for.

ACCT_COST_CNTR

DWR_ACCT_H

ACCT_COST_CNTR

Direct mapping. The account cost center information of the account is loaded from operational to derived layer.

ACCT_IATA_CO_NBR

DWR_ACCT_H

ACCT_IATA_CO_NBR

Direct mapping. The account iata company number is loaded from operational to derived layer.

ACCT_CLNT_REF_NBR

DWR_ACCT_H

ACCT_CLNT_REF_NBR

Direct mapping. The account client reference number and flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_ACFT_VER Mapping

Table 6-23 shows the mapping to populate target table DWM_ACFT_VER. For more information, see AIRCRAFT VERSION.

Source Table Name

DWL_ACV_H

Table 6-23 PKG_DWM_ ACFT_VER ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

ACV_KEY

DWL_ACV_H

DWL_ACV_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

AIRCARFTVER_ID

DWL_ACV_H

ACV_ID

Direct mapping. It is the unique number generated at source system and the data flows from source to operational and then to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

ACFT_TYP_ID

DWL_ACV_H

ACFT_TYP_ID

Direct mapping. It is the unique number generated at source system and the data flows from source to operational and then to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

ACV

DWL_ACV_H

ACV

Direct mapping. It indicates the Aircraft Version. Data flows from operational to derived layer.

SLBL_CONFIG_CD

DWL_ACV_H

SLBL_CONFIG_CD

Direct mapping. It indicates the salable configuration code. Data flows from operational to derived layer.

ACFT_TYP

DWL_ACV_H

ACFT_TYP

Direct mapping. It indicates the aircraft type for the aircraft version. Data flows from operational to derived layer.

ACV_TOT_CPCTY

DWL_ACV_H

ACV_TOT_CPCTY

Direct mapping. It indicates the sum(ACV Cabin Capacity for each cabin code)

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_AIP Procedure

Table 6-24 shows the mapping to populate target table DWM_AIP. For more information, see AIRPORT.

Source Table Name

DWR_ AIP_H

Table 6-24 PKG_DWM_ AIP ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

AIP_KEY

DWR_AIP_H

DWR_AIP_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

AIP_ID

DWR_AIP_H

AIP_ID

Direct mapping. This indicates the system generated unique assigned to the attribute in the operational layer

AIP_NM

DWR_AIP_H

AIP_NM

Direct mapping. This indicates the short name given to the airport

CITY

DWR_AIP_H

CITY

Direct mapping. This indicates the city short name to which the airport belongs

REGN

DWR_AIP_H

REGN

Direct mapping. This indicates the region to which the airport belongs

CTRY

DWR_AIP_H

CTRY

Direct mapping. This indicates the country to which the airport belongs

CONT

DWR_AIP_H

CONT

Direct mapping. This indicates the continent to which the airport belongs

CITY_LONG_NM

lv_CITY_LONG_NM

Parameterized

AIP_LONG_NM

lv_AIP_LONG_NM

Parameterized

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

CITY_CD

DWR_AIP_H

CITY_CD

Direct mapping.

REGN_CD

DWR_AIP_H

REGN_CD

Direct mapping.

CONT_CD

DWR_AIP_H

CONT_CD

Direct mapping.

CTRY_CD

DWR_AIP_H

CTRY_CD

Direct mapping.

PKG_DWM_BKG_CLS_TYP Procedure

Table 6-25 shows the mapping to populate target table DWM_BKG_CLS_TYP. For more information, see BOOKING CLASS TYPE.

Source Tables

DWR_ BKG_CLS_H

DWL_BKG_CLS_H

Table 6-25 PKG_DWM_ BKG_CLS_TYP ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

BKG_CLS_KEY

DWL_BKG_CLS_H

DWL_BKG_CLS_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

BKG_CLS_ID

DWL_BKG_CLS_H

BKG_CLS_ID

Direct mapping. This indicates the primary key of the table assigned by source system and is called adsunique id of the entity

SVC_CLS_CD

DWL_BKG_CLS_H

SVC_CLS_CD

Direct mapping. This indicates the values of the service class

ODT request to rename attribute from SERVICE CLASS to SERVICE CLASS CODE

SVC_CLS_DESC

DWL_BKG_CLS_H

SVC_CLS_DESC

Direct mapping. This indicates the service class description

CARR_CD

DWL_BKG_CLS_H

CARR_CD

Direct mapping. This indicates the carrier code to which the booking class belongs

BKG_CLS_CD

DWL_BKG_CLS_H

BKG_CLS_CD

Direct mapping. This attribute stores the booking class

ODT request to rename attribute from BOOKING CLASS to BOOKING CLASS CODE

BKG_CLS_DESC

DWL_BKG_CLS_H

BKG_CLS_DESC

Direct mapping. This indicates the booking class

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_BKG_OFF Mapping

Table 6-26 shows the mapping to populate target table DWM_BKG_OFF. For more information, see BOOKING OFFICE.

Source Tables

DWR_BKG_OFF_H

DWR_SMS_AGNT_H

Table 6-26 PKG_DWM_ BKG_OFF ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

OFF_KEY

DWR_BKG_OFF_H

DWR_BKG_OFF_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

OFF_ID

DWR_BKG_OFF_H

OFF_ID

Direct mapping. It is the unique number generated at source system and the data flows from source to operational and then to derived layer. It helps to identify the record as unique throughout the system. That is from source to derived layer.

CITY_CD

DWR_BKG_OFF_H

CITY_CD

Direct mapping. The city code of the booking office and flows from operational to Derived layer.

CHNL_TYP

DWR_BKG_OFF_H

CHNL_TYP

Direct mapping. The types of channel of booking. Data flows from operational to Derived layer.

CORP_CD

DWR_BKG_OFF_H

CORP_CD

Direct mapping. The GDS ID of the booking office in the source system and flows from operational to Derived layer.

CTRY_CD

DWR_BKG_OFF_H

CTRY_CD

Direct mapping. The country code of the booking office and flows from operational to derived layer.

IATA_CD

DWR_BKG_OFF_H

IATA_CD

Direct mapping. The IATA code assigned to the office in the source system. Data flows from operational to derived layer.

TRUE_CITY_CD

DWR_BKG_OFF_H

TRUE_CITY_CD

Direct mapping. The true city code of the office and flows from operational to derived layer.

OFF_TYP

DWR_BKG_OFF_H

OFF_TYP

Direct mapping. The type of office in the source system and flows from operational to derived layer.

OFF_TYP_DESC

DWR_BKG_OFF_H

OFF_TYP_DESC

Direct mapping. The office type description in the source system and flows from operational to derived layer.

OFF_GRP

DWR_BKG_OFF_H

OFF_GRP

Direct mapping. The group to which the office belongs and flows from operational to derived layer.

OFF_NM

DWR_BKG_OFF_H

OFF_NM

Direct mapping. The name of the booking office in the source system and flows from operational to derived layer.

GDS_ID

DWR_BKG_OFF_H

CORP_CD

Direct mapping. The GDS ID of the booking office in the source system and flows from operational to derived layer.

GDS_NM

DWR_BKG_OFF_H

CORP_CD

Direct Mapping. The GDS name of the office and flows from operational to derived layer.

DECODE (LTRIM (RTRIM (DWR_BKG_OFF_H.CORP_CD)), pv_CORPORATE_CD1, pv_CORPORATE_CD2, pv_CORPORATE_CD3, pv_CORPORATE_CD4, pv_CORPORATE_CD5, pv_CORPORATE_CD6,pv_CORPORATE_CD7, pv_CORPORATE_CD8, pv_CORPORATE_CD9, pv_CORPORATE_CD10, pv_CORPORATE_CD11, pv_CORPORATE_CD12, pv_CORPORATE_CD13, pv_CORPORATE_CD14, pv_CORPORATE_CD15, pv_CORPORATE_CD12, pv_CORPORATE_CD11, pv_CORPORATE_CD12,pv_CORPORATE_CD16, pv_CORPORATE_CD17, pv_CORPORATE_CD18, pv_CORPORATE_CD19, NULL, pv_CORPORATE_CD20)

OFF_AGNT_TYP

DWR_BKG_OFF_H

OFF_AGNT_TYP

Direct mapping. It is the IATA agent type of the booking office and flows from operational to derived layer.

OFF_AGNT_TYP_DESC

DWR_BKG_OFF_H

OFF_AGNT_TYP_DESC

Direct mapping. It is the IATA agent type description of the booking office and flows from operational to derived layer.

AGNT_ROW_ID

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H.AGNT_ROW_ID

Left outer join is performed on the Agent table on the basis of Agent Iata Code to get the source system generated Agent ID.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_ROW_ID

AGNT_NM_LOCN

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_NM_LOCN

Left outer join is performed on the Agent table on the basis of agent IATA Code to get agent location.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_NM_LOCN

AGNT_HRCHY_LVL

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_HRCHY_LVL

Left outer join is performed on the Agent table on the basis of agent IATA Code to get agent hierarchy level.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_HRCHY_LVL

AGNT_CORPN

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CORPN

Left outer join is performed on the Agent table on the basis of agent IATA Code to get corporation to which the agent belongs.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CORPN

AGNT_CHAIN

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CHAIN

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the agent chain information.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CHAIN

AGNT_STS

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_STS

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the status of the agent.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_STS.

AGNT_STRTG

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_STRTG

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the strategy information of the agent.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_STRTG.

AGNT_STRTG_LVL

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_STRTG_LVL

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the agent strategy level.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_STRTG_LVL

AGNT_CRCY

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CRCY

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the transaction currency of the agent.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CRCY

AGNT_KEY_TYP

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_KEY_TYP

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the agent key type.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_KEY_TYP

AGNT_PSTL_OFF

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_PSTL_OFF

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the post office of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_PSTL_OFF

AGNT_ZIP

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_ZIP

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the zip code of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_ZIP

AGNT_CNTY_CD

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CNTY_CD

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the county code of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CNTY_CD

AGNT_CNTY

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CNTY

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the county of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CNTY

AGNT_PROVNCE

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_PROVNCE

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the province of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_PROVNCE

AGNT_STATE

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_STATE

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the state of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_STATE

AGNT_INDSTRY

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_INDSTRY

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the industry or line of business of the agent.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_INDSTRY

AGNT_DISTRICT

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_DISTRICT

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the district of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_DISTRICT

AGNT_REGN_CD

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_REGN_CD

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the region code of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_REGN_CD

AGNT_REGN

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_REGN

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the region of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_REGN

AGNT_ORGANIZATION

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_ORGANIZATION

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the organization of the agent.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_ORGANIZATION

AGNT_CONT_CD

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CONT_CD

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the continent code of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CONT_CD

AGNT_CONT

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CONT

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the continent of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CONT

AGNT_OFF_TYP

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_OFF_TYP

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the agent office type.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_OFF_TYP

AGNT_TERR

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_TERR

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the territory of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_TERR

AGNT_POSN

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_POSN

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the agent position.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_POSN

AGNT_CITY_CD

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CITY_CD

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the city code of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CITY_CD

AGNT_CITY

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CITY

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the city of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CITY

AGNT_CTRY_CD

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CTRY_CD

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the country code of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CTRY_CD

AGNT_CTRY

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_CTRY

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the country of the agent's address.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_CTRY

AGNT_IATA_CD

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_IATA_CD

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the agent IATA code.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_IATA_CD

AGNT_NM

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_NM

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the agent name.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_NM

AGNT_TYP

DWR_SMS_AGNT_H, DWR_BKG_OFF_H

DWR_SMS_AGNT_H. AGNT_TYP

Left outer join is performed on the Agent table on the basis of agent IATA Code to get the type of the agent.

Join performed between DWR_BKG_OFF_H and DWR_SMS_AGNT_H table on AGNT_IATA_CD column to fetch value for AGNT_TYP

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_BKG_PAX Mapping

Table 6-27 shows the mapping to populate target table DWM_BKG_PAX. For more information, see BOOKING PASSENGER.

Source Tables

DWR_BKG_PAX _H

DWR_BKG_PAX_DOC_INFO_H

Table 6-27 PKG_DWM_ BKG_PAX ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

PAX_KEY

DWR_BKG_PAX _H

DWR_BKG_PAX_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

PAX_ID

DWR_BKG_PAX _H

PAX_ID

Direct Mapping. This is the primary key for the table generated by the source system

LAST_NM

DWR_BKG_PAX _H

LAST_NM

Direct Mapping. Last Name of Passenger

FST_NM

DWR_BKG_PAX _H

FST_NM

Direct Mapping. Passenger First Name

TYP_CD

DWR_BKG_PAX _H

TYP_CD

Direct Mapping. This indicates the type of passenger

STF_TYP

DWR_BKG_PAX _H

STF_TYP

Direct Mapping. This indicates the data will indicate whether staff is booked on standby or on confirmed basis

DOB

DWR_BKG_PAX _H

DOB

Direct Mapping.

IDFN_CD

DWR_BKG_PAX _H

IDFN_CD

Direct Mapping. "¡˚ID875¡±

The Id code is a special type of passenger code used for entering an ID number for identification purposes.

GNDR

DWR_BKG_PAX _H

GNDR

Direct Mapping. This indicates the gender of the passenger

PAX_LAST_UPDT_TMSTMP

DWR_BKG_PAX _H

PAX_LAST_UPD_TMSTMP

Direct Mapping.

VIP_CARR_CD

DWR_BKG_PAX _H

VIP_CARR_CD

Direct Mapping. If passenger is a VIP, the carrier to which status applies to

VIP_FREE_TXT

DWR_BKG_PAX _H

VIP_FREE_TXT

CLID_NBR

DWR_BKG_PAX _H

CLID_NBR

Direct Mapping. This indicates the client identification number

CLID_CARR_CD

DWR_BKG_PAX _H

CLID_CARR_CD

Direct Mapping. Value is expected to come from the source input.

PAX_TYP

DWR_BKG_PAX _H

PAX_TYP

Direct Mapping. This indicates the type of passenger for this ticket

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

TRVL_DOC_TYP

DWR_BKG_PAX_DOC_INFO_H

TRVL_DOC_TYP

Left outer join is performed on the Booking Passenger Document Information table on the basis of Passenger ID to get the Travel Document Type.

Join performed between DWR_BKG_PAX_H and DWR_BKG_PAX_DOC_INFO_H table on PAX_ID column to fetch value for TRVL_DOC_TYP

TRVL_DOC_NBR

DWR_BKG_PAX_DOC_INFO_H

TRVL_DOC_NBR

Left outer join is performed on the Booking Passenger Document Information table on the basis of Passenger ID to get the Travel Document Number.

Join performed between DWR_BKG_PAX_H and DWR_BKG_PAX_DOC_INFO_H table on PAX_ID column to fetch value for TRVL_DOC_NBR

PKG_DWM_BKG_TST Mapping

Table 6-28 shows the mapping to populate target table DWM_BKG_TST. For more information, see BOOKING TST.

Source Table

DWR_BKG_TST_H

Table 6-28 PKG_DWM_ BKG_TST ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

TST_KEY

DWR_BKG_TST_H

DWR_BKG_TST_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

TST_ID

DWR_BKG_TST_H

TST_ID

Direct Mapping. This indicates the primary key of the table assigned by source system and is called adsunique id of the entity

TRST_CRCY

DWR_BKG_TST_H

TRST_CRCY

Direct Mapping. This indicates the transitional currency code used in the BR field of the TST.

VLDATING_CARR_CD

DWR_BKG_TST_H

VALIDATING_CARR_CD

Direct Mapping. This refers to the carrier code for which the TST must be charged. This is taken from the FV element.

TST_NBR

DWR_BKG_TST_H

TST_NBR

Direct Mapping. This indicates the number of the TST.

ORGN

DWR_BKG_TST_H

ORGN

Direct Mapping. This indicates the origin airport code of the TST.

DEST

DWR_BKG_TST_H

DEST

Direct Mapping. This indicates the destination airport code of the TST

MNUL_IND

DWR_BKG_TST_H

MNUL_IND

Direct Mapping.

SALE_IND

DWR_BKG_TST_H

SALE_IND

Direct Mapping. This indicates the international sale indicator used for the TST:

ISS_IND

DWR_BKG_TST_H

ISS_IND

Direct Mapping. This indicates the issuance status of the TST:

OLD_TKT_NBR

DWR_BKG_TST_H

OLD_TKT_NBR

Direct Mapping.

ACTN_FLG

DWR_BKG_TST_H

ACTN_FLG

Direct Mapping. This indicates the action flag related to the TST. For instance:

FARE_ENDRSMNT

DWR_BKG_TST_H

FARE_ENDRSMNT

Direct Mapping.

PYMT_RESTRC

DWR_BKG_TST_H

PYMT_RESTRC

Direct Mapping.

TOUR_CD

DWR_BKG_TST_H

TOUR_CD

Direct Mapping. This indicates the fare print override element transmitted through an FY element

FARE_PRINT_OVRD

DWR_BKG_TST_H

FARE_PRINT_OVRD

Direct Mapping.

LAST_TKT_DT

DWR_BKG_TST_H

LAST_TKT_DT

Direct Mapping.

CMSN

DWR_BKG_TST_H

AGNT_CMSN

Direct Mapping. This indicates the commission (FM) associated to the priced segments and displayed in the commission field of the TST.

FARE_CALC_MODE

DWR_BKG_TST_H

FARE_CALC_MODE

Direct Mapping.

FARE_CALC

DWR_BKG_TST_H

FARE_CALC

Direct Mapping.

FORM_OF_PYMT

DWR_BKG_TST_H

FORM_OF_PYMT

Direct Mapping. This indicates the FP element associated to the priced segments and displayed as FP in the TST display.

TKT_TYP

DWR_BKG_TST_H

TKT_TYP

Direct Mapping. This indicates Ticket type returned from Fare quote. Can be Electronic ticket (E), paper ticket (P).

BKG_TMSTMP

DWR_BKG_TST_H

BKG_TMSTMP

Direct Mapping.

TYP

DWR_BKG_TST_H

TYP

Direct Mapping. This indicates the TST is related to an INF passenger. The TYP is INF if the passenger that the TST refers to is an INF type code passenger. The TYP is ADT for any other passenger type codes.

BNKR_RATE1

DWR_BKG_TST_H

BNKR_RATE1

Direct Mapping.

Bnkr_Rate2

DWR_BKG_TST_H

Bnkr_Rate2

Direct Mapping.

TST_AGNT_SIGN

DWR_BKG_TST_H

TST_AGNT_SIGN

Direct Mapping. This indicates the Agent sign who gives the sign of the agent that made the last update of the TST

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_CARR Mapping

Table 6-29 shows the mapping to populate target table DWM_CARR. For more information, see CARRIER.

Source Table

DWR_CARR_H

Table 6-29 PKG_DWM_CARR ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

CARR_KEY

DWR_CARR_H

DWR_CARR_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

CARR_TYP

DWR_CARR_H

CARR_TYP_ID

Direct Mapping. This indicates the type of the carrier whether Airplane, Rail, Ship, Bus, and so on.

CARR_CD

DWR_CARR_H

CARR_CD_SRC

Direct Mapping. This indicates the short name assigned to the carrier

CARR_DESC

DWR_CARR_H

CARR_DESC

Direct Mapping. This indicates the long name assigned to the carrier

CARR_ID

DWR_CARR_H

CARR_ID

Direct Mapping. This indicates the system generated unique assigned to the attribute in the operational layer

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_CORP_CUST Mapping

Table 6-30 shows the mapping to populate target table DWM_CORP_CUST. For more information, see CORPORATE CUSTOMER.

Source Table

DWR_SMS_CUST_H

Table 6-30 PKG_DWM_CORP_CUST ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

CORP_CUST_KEY

DWR_SMS_CUST_H

DWR_SMS_CUST_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

CUST_ROW_ID

DWM_CORP_CUST

CUST_ROW_ID

Left outer join is performed on the Corporate Customer table

on the basis of Customer Row Identifier to

get the Customer Row Identifier values

Join performed between DWM_CORP_CUST

and DWR_SMS_CUST_H table on CUST_ROW_ID

column to fetch value for CUST_ROW_ID

CUST_NM

DWR_SMS_CUST_H

CUST_NM

Direct Mapping.

CUST_NM_LOCN

DWR_SMS_CUST_H

CUST_NM_LOCN

Direct Mapping.

CUST_CLNT_CD

DWR_SMS_CUST_H

CUST_CLNT_CD

Direct Mapping.

CUST_HRCHY_LVL

DWR_SMS_CUST_H

CUST_HRCHY_LVL

Direct Mapping.

CUST_TYP

DWR_SMS_CUST_H

CUST_TYP

Direct Mapping. This indicates the corporate customer type

CUST_CORPN

DWR_SMS_CUST_H

CUST_CORPN

Direct Mapping. This indicates the corporation details

CUST_DIV_NM

DWR_SMS_CUST_H

CUST_DIV_NM

Direct Mapping. This indicates the division details of corporation

CUST_STS

DWR_SMS_CUST_H

CUST_STS

Direct Mapping. This indicates the customer status of the corporate customer

CUST_STRTG

DWR_SMS_CUST_H

CUST_STRTG

Direct Mapping. This indicates the corporate customer strategy information

CUST_STRTG_LVL

DWR_SMS_CUST_H

CUST_STRTG_LVL

Direct Mapping. This indicates the customer hierarchy level.

CUST_CRCY_CD

DWR_SMS_CUST_H

CUST_CRCY_CD

Direct Mapping. This indicates the currency of the corporate customer

CUST_KEY_TYP

DWR_SMS_CUST_H

CUST_KEY_TYP

Direct Mapping. This attribute stores the key type of the corporate customer

CUST_CITY

DWR_SMS_CUST_H

CUST_CITY

This indicates the city of the corporate customer

CUST_PSTL_OFF

DWR_SMS_CUST_H

CUST_PSTL_OFF

Direct Mapping. This indicates the postal office of the customer

CUST_ZIP

DWR_SMS_CUST_H

CUST_ZIP

Direct Mapping. This indicates the zip code of the customer address

CUST_CNTY

DWR_SMS_CUST_H

CUST_CNTY

Direct Mapping. This indicates the county to which the customer belongs

CUST_PROVNCE

DWR_SMS_CUST_H

CUST_PROVNCE

Direct Mapping. This indicates the province of the customer

CUST_STATE

DWR_SMS_CUST_H

CUST_STATE

Direct Mapping. This indicates the state of the customer

CUST_CTRY

DWR_SMS_CUST_H

CUST_CTRY

Direct Mapping. This indicates the country of the customer

CUST_INDSTRY

DWR_SMS_CUST_H

CUST_INDSTRY

Direct Mapping. This indicates the industry and line of business of the customer

CUST_DISTRICT

DWR_SMS_CUST_H

CUST_DISTRICT

Direct Mapping. This indicates the district of the customer and populated where applicable.

CUST_REGN

DWR_SMS_CUST_H

CUST_REGN

Direct Mapping. This indicates the region of the customer

CUST_ORGANIZATION

DWR_SMS_CUST_H

CUST_ORGANIZATION

Direct Mapping. This indicates the organization. That is, the country of the customer

CUST_CONT

DWR_SMS_CUST_H

CUST_CONT

Direct Mapping. This indicates the continent of the customer.

CUST_TERR

DWR_SMS_CUST_H

CUST_TERR

Direct Mapping. This indicates the customer territory

CUST_POSN

DWR_SMS_CUST_H

CUST_POSN

Direct Mapping. This indicates the customer position

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_FLT Mapping

Table 6-31 shows the mapping to populate target table DWM_FLT. For more information, see FLIGHT.

Source Tables

DWR_FLT_H

DWM_ROUTES

Table 6-31 PKG_DWM_FLT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

FLT_KEY

DWR_FLT_H

FLT_KEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

VHCL_ID

DWR_FLT_H

FLT_ID

Direct Mapping.

FLT_NBR

DWR_FLT_H

FLT_NBR

Direct Mapping. This indicates the flight number of the carrier.

ALPHASFX

DWR_FLT_H

ALPHA_SFX

Direct Mapping. This indicates the alphasuffix

ELCTRNC_TKT_IND

DWR_FLT_H

ELCTRNC_TKT_IND

Direct Mapping. This indicates whether E-ticket can be issued for the flight

date of flight, if flight traverses multiple dates, then date of the first leg is considered

STS

DWR_FLT_H

FLT_STS

Direct Mapping. This indicates the flight status

INTNL_DOM_FLG

DWR_FLT_H

FLT_TYP

Direct Mapping. This indicates the type of flight whether international and domestic

I for International D Domestic

TYP_HAUL

DWR_FLT_H

TYP_HAUL

Direct Mapping. This indicates the type of Haul for the flight

TRAF_CATG_ID

DWM_ROUTES

TRAF_CATG_ID

Left outer join is performed on the Routes table

on the basis of Flight Number to

get the Traffic Category ID

Join performed between DWM_ROUTES

and DWR_FLT_H table on FLT_NBR

column to fetch value for TRAF_CATG_ID

CDSH_TYP

DWR_FLT_H

CDSH_TYP

Direct Mapping. This indicates the type of the flight in a codeshare

FRNCHS_PTNR

DWR_FLT_H

FRNCHS_PTNR

Direct Mapping. This indicates airline carrier code of the partner in a franchise agreement.

CARR_CD

DWR_FLT_H

CARR_CD

Direct Mapping. This indicates the carrier of the flight

SCNDRY_CARR_CD

DWR_FLT_H

SCNDRY_CARR_CD

Direct Mapping. This indicates the secondary carrier of the flight

FLT_TXT_DESC

DWR_FLT_H

FLT_TXT_DESC

This attribute indicates the concatenation of the carrier code and the flight number

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

FLT_ID

DWR_FLT_H

FLT_ID

DIRECT MAPPING.

PKG_DWM_FRQTFLR Mapping

Table 6-32 shows the mapping to populate target table DWM_FRQTFLR. For more information, see FREQUENT FLYER.

Source Tables

DWR_FRQTFLR_H

DWM_GEOGRY

Table 6-32 PKG_DWM_FRQTFLR ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

FRQTFLR_CARD_KEY

DWR_FRQTFLR_H

DWR_FRQTFLR_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

FRQTFLR_NBR

DWR_FRQTFLR_H

FRQTFLR_NBR

Direct Mapping. This indicates the Frequent flier number

CARD_CARR

DWR_FRQTFLR_H

CARD_CARR

Direct Mapping. This indicates the carrier to which the card/member belongs to

CARR_CD

DWR_FRQTFLR_H

CARR_CD

Direct Mapping. Carrier to whom the number is associated to for a particular booking.

RQST_TYP

DWR_FRQTFLR_H

RQST_TYP

Direct Mapping. This indicates the SSR request:

STS_CD

DWR_FRQTFLR_H

STS_CD

Direct Mapping.

AIRL_MBSHP_LVL

DWR_FRQTFLR_H

AIRL_MBSHP_LVL

Direct Mapping. This indicates the airline memberTier level. Plus, Platinum, and so on.

AIRL_PRORTY_CD

DWR_FRQTFLR_H

AIRL_PRORTY_CD

Direct Mapping. This indicates the airline defined priority code for the FFP based on various criteria

AIRL_TIER_DESC

DWR_FRQTFLR_H

AIRL_TIER_DESC

Direct Mapping. This indicates the Description of tier levels

AIRL_CUST_VAL

DWR_FRQTFLR_H

AIRL_CUST_VAL

Direct Mapping. This indicates the airline defined value for the customer.

ALAN_MBR_LVL

DWR_FRQTFLR_H

ALAN_MBR_LVL

Direct Mapping. This indicates the airline memberTier level. Plus, Platinum, and so on.

ALAN_TIER_DESC

DWR_FRQTFLR_H

ALAN_TIER_DESC

Direct Mapping. This indicates the Description of tier levels

CERT_NBR

DWR_FRQTFLR_H

CERT_NBR

Direct Mapping. This indicates the certificate number of the frequent flyer

ALANC_CD

DWR_FRQTFLR_H

ALANC_CD

Direct Mapping. This indicates the alliance code

STK_CNTRL_NBR

DWR_FRQTFLR_H

STK_CNTRL_NBR

Direct Mapping. This indicates the stock control number associated with the frequent flyer

CLS_BEF_UPGRD

DWR_FRQTFLR_H

PAX_CLS_BEF_UPGRD

Direct Mapping.

MLS_CR_IND

DWR_FRQTFLR_H

MLS_CRDTD_IND

Direct Mapping.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

CITY_KEY

DWM_GEOGRY

CITY_KEY

Left outer join is performed on the Geography table on the basis of City Code to get the City Key

Join performed between DWM_GEOGRY

and DWR_FRQTFLR_H table on CITY_CD

column to fetch value for City Key

LYLTY_PRG_ID

DWR_FRQTFLR_H

LYLTY_PRG_ID

Direct Mapping.

FRQTFLR_CARD_ID

DWR_FRQTFLR_H

FRQTFLR_CARD_ID

Direct Mapping.

LYLTY_LVL_ID

DWR_FRQTFLR_H

LYLTY_LVL_ID

Direct Mapping.

ACCT_ID

DWR_FRQTFLR_H

ACCT_ID

Direct Mapping.

ACCT_OPEN_DT

DWR_FRQTFLR_H

ACCT_OPEN_DT

Direct Mapping.

ACCT_CLOSE_DT

DWR_FRQTFLR_H

ACCT_CLOSE_DT

Direct Mapping.

ACCT_EXPRY_DT

DWR_FRQTFLR_H

ACCT_EXPR_DT

Direct Mapping.

ACCT_RNWL_DT

DWR_FRQTFLR_H

ACCT_RNW_DT

Direct Mapping.

DOB

DWR_FRQTFLR_H

DOB

Direct Mapping.

GNDR

DWR_FRQTFLR_H

GNDR

Direct Mapping.

INCM_LVL

DWR_FRQTFLR_H

INCM_LVL

Direct Mapping.

MRTL_STS

DWR_FRQTFLR_H

MRTL_STS

Direct Mapping.

EDU

DWR_FRQTFLR_H

EDU

Direct Mapping.

OCCUPTN

DWR_FRQTFLR_H

OCCUPTN

Direct Mapping.

PKG_DWM_INTRATN_RSLT Mapping

Table 6-33 shows the mapping to populate target table DWM_INTRATN_RSLT. For more information, see INTERACTION RESULT.

Source Table

DWL_INTRATN_RSLT_H

Table 6-33 PKG_DWM_INTRATN_RSLT ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

INTRATN_RSLT_KEY

DWL_INTRATN_RSLT_H

DWL_INTRATN_RSLT_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

INTRATN_RSLT_ID

DWL_INTRATN_RSLT_H

INTRATN_RSLT_ID

Direct Mapping.

INTRATN_RSLT_NM

DWL_INTRATN_RSLT_H

INTRATN_RSLT_NM

Direct Mapping.

INTRATN_RSLT_DESC

DWL_INTRATN_RSLT_H

INTRATN_RSLT_DESC

Direct Mapping.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

PKG_DWM_INTRATN_RSN Mapping

Table 6-34 shows the mapping to populate target table DWM_INTRATN_RSN. For more information, see INTERACTION REASON.

Source Table

DWL_INTRATN_RSN_H

Table 6-34 PKG_DWM_INTRATN_RSN ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

INTRATN_RSN_ID

DWL_INTRATN_RSN_H

INTRATN_RSN_ID

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

INTRATN_RSN_NM

DWL_INTRATN_RSN_H

INTRATN_RSN_NM

Direct Mapping.

INTRATN_RSN_DESC

DWL_INTRATN_RSN_H

INTRATN_RSN_DESC

Direct Mapping.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

PKG_DWM_LEG Mapping

Table 6-35 shows the mapping to populate target table DWM_LEG. For more information, see LEG.

Source Tables

DWR_LEG_H

DWM_AIP

Table 6-35 PKG_DWM_LEG ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

LEG_KEY

DWR_LEG_H

DWR_LEG_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

DEPTR_TRML

DWR_LEG_H

DEPTR_TRML

Direct Mapping.

ARVL_TRML

DWR_LEG_H

ARVL_TRML

Direct Mapping. This indicates the terminal to where the flight arrives into

ARVL_AIP_NM

DWR_LEG_H

ARVL_AIP_NM

Direct Mapping. This indicates the arrival airport name which is same as the off point

DEPTR_AIP_NM

DWR_LEG_H

DEPTR_AIP_NM

Direct Mapping. This indicates the departure airport name which is same as the board point

DEPTR_CITY

DWM_AIP

DEPTR_CITY

Left outer join is performed on the Airport table

on the basis of Airport ID to get the Departure City

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for DEPTR_CITY

DEPTR_CTRY

DWM_AIP

DEPTR__CTRY

Left outer join is performed on the Airport table on the basis of Airport ID to get the Departure Country

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for DEPTR_CTRY

DEPTR_REGN

DWM_AIP

DEPTR__REGN

Left outer join is performed on the Airport table on the basis of Airport ID to get the Departure Region

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for DEPTR_REGN

DEPTR_CONT

DWM_AIP

DEPTR__CONT

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Departure Continent

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for DEPTR_CONT

ARVL_CITY

DWM_AIP

ARVL_CITY

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Arrival City

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for ARVL_CITY

ARVL_CTRY

DWM_AIP

ARVL__CTRY

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Arrival Country

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for ARVL_CTRY

ARVL_REGN

DWM_AIP

ARVL__REGN

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Arrival Region

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for ARVL_REGN

ARVL_CONT

DWM_AIP

ARVL__CONT

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Arrival Continent

Join performed between DWM_AIP and DWR_LEG_H table on AIP_ID and AIP_NM column to fetch value for ARVL_CONT

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

LEG_ID

DWR_LEG_H

LEG_ID

Direct Mapping.

PKG_DWM_LYLTY_LVL Mapping

Table 6-36 shows the mapping to populate target table DWM_LYLTY_LVL. For more information, see LOYALTY LEVEL.

Source Table

DWR_LYLTY_LVL_H

Table 6-36 PKG_DWM_LYLTY_LVL ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

LYLTY_LVL_KEY

DWR_LYLTY_LVL_H

DWR_LYLTY_LVL_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

LYLTY_LVL_ID

DWR_LYLTY_LVL_H

LYLTY_LVL_ID

Direct Mapping.

LYLTY_LVL_NM

DWR_LYLTY_LVL_H

LYLTY_LVL_NM

Direct Mapping.

LVL_QLFYNG_STRT_PNTS

DWR_LYLTY_LVL_H

LVL_QLFYNG_STRT_PNTS

Direct Mapping.

LYLTY_PRG_ID

DWR_LYLTY_LVL_H

LYLTY_PRG_ID

Direct Mapping.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

¡

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

®9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_PDI_CHNL Mapping

Table 6-37 shows the mapping to populate target table DWM_PDI_CHNL. For more information, see PDI CHANNEL.

Source Table

DWL_PDI_CHNL_H

Table 6-37 PKG_DWM_PDI_CHNL ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

CHNL_KEY

DWL_PDI_CHNL_H

DWL_PDI_CHNL_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

CHNL_ID

DWL_PDI_CHNL_H

CHNL_ID

Direct Mapping. This indicates the unique identifier assigned to the channel in the operational layer of the

ACCPTNCE_CHNL_TYP

DWL_PDI_CHNL_H

ACCPTNCE_CHNL_TYP

Direct Mapping. This indicates the check-in channel origin.

ACCPTNCE_CHNL_ORGN

DWL_PDI_CHNL_H

ACCPTNCE_CHNL_ORGN

Direct Mapping. This indicates the check-in channel origin.

ACCPTNCE_CHNL_TYP_DESC

DWL_PDI_CHNL_H

ACCPTNCE_CHNL_TYP_DESC

Direct Mapping. This indicates the application type of the check-in channel.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_SALES_CHNL Mapping

Table 6-38 shows the mapping to populate target table DWM_SALES_CHNL. For more information, see SALES CHANNEL.

Source Table

DWR_BKG_OFF_H

Table 6-38 PKG_DWM_SALES_CHNL ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

SALES_CHNL_KEY

DWL_SALES_CHNL_H

DWL_SALES_CHNL_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

SALES_CHNL_CD

DWL_SALES_CHNL_H

SALES_CHNL_CD

Direct mapping This stores the sales channel code Data flows from operational to derived layer.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_SEG Mapping

Table 6-39 shows the mapping to populate target table DWM_SEG. For more information, see SEGMENT.

Source Tables

DWR_SEG_H

DWM_AIP

Table 6-39 PKG_DWM_SEG ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

SEG_KEY

DWR_SEG_H

DWR_SEG_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

SEG_TYP

DWR_SEG_H

SEG_TYP

Direct Mapping. This indicates the segment type for the flight

LAST_CHECK_TM_LCL

DWR_SEG_H

LAST_CHKIN_TM_LCL

Direct Mapping.

BRD_AIP_NM

DWM_AIP

BP_AIP_NM

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Board Point Airport name

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for BP_AIP_NM

OFPNT_AIP_NM

DWM_AIP

lkp_op_AIP_NM

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the OFF Point Airport name

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_op_AIP_NM

BP_CITY

DWM_AIP

lkp_bp_CITY

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Board Point City

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_bp_CITY

BP_CTRY

DWM_AIP

lkp_bp_CTRY

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Board Point Country

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_bp_CTRY

OFPNT_CTRY

DWM_AIP

lkp_op_CTRY

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Off Point Country

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_op_CTRY

OFPNT_CITY

DWM_AIP

lkp_op_CITY

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Off Point City

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_op_CITY

BP_REGN

DWM_AIP

lkp_bp_REGN

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Board Point Region

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_bp_REGN

OFPNT_REGN

DWM_AIP

lkp_op_REGN

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the OFF Point Region

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_op_REGN

BP_CONT

DWM_AIP

lkp_bp_CONT

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Board Point Continent

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_bp_CONT

OFPNT_CONT

DWM_AIP

lkp_op_CONT

Left outer join is performed on the Airport table on the basis of Airport ID and Airport name to get the Off Point Continent

Join performed between DWM_AIP and DWR_SEG_H table on AIP_ID and AIP_NM column to fetch value for lkp_op_CONT

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

SEG_ID

DWR_SEG_H

SEG_ID

Direct Mapping.

PKG_DWM_SEG_PAIR Mapping

Table 6-40 shows the mapping to populate target table DWM_SEG_PAIR. For more information, see SEGMENT PAIR.

Source Table

DWR_SEG_H

Table 6-40 PKG_DWM_SEG_PAIR ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

SEG_PAIR_KEY

DWR_SEG_H

DWR_SEG_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

SEG_PAIR_NM

DWR_SEG_H

SEG_PAIR

Direct Mapping. This indicates the segment pair details.

BP

DWR_SEG_H

BOARD_POINT

Direct Mapping. This indicates the board point of the segment pair.

OFPNT_CD

DWR_SEG_H

OFF_POINT

Direct Mapping. This indicates the off point of the segment pair.

PTP

DWR_SEG_H

PTP

Direct Mapping. This indicates the details of PTP (Point to Point).

Boardpoint Offpoint

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

SEG_PAIR_ID

DWR_SEG_H

SEG_ID

Direct Mapping.

PKG_DWM_SVC Mapping

Table 6-41 shows the mapping to populate target table DWM_SVC. For more information, see SERVICE.

Source Table

DWR_SVC_H

Table 6-41 PKG_DWM_SVC ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

SVC_KEY

DWR_SVC_H

DWR_SVC_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

SVC_NM

DWR_SVC_H

SVC_NM

Direct Mapping. This indicates Service Name, like Reservation&Tkt, Staff Reservation&Tkt, Check-In, Boarding, Lounge, and so on.

SVC_ID

DWR_SVC_H

SVC_ID

Direct Mapping.

SVC_DESC

DWR_SVC_H

SVC_DESC

Direct Mapping. This indicates Service description

SVC_TYP_CD

DWR_SVC_H

SVC_TYP_CD

Direct Mapping. This indicates Service type code

SVC_TYP_DESC

DWR_SVC_H

SVC_TYP_DESC

SVC_TYP_NM

DWR_SVC_H

SVC_TYP_NM

Direct Mapping. This indicates Service Type Name like Sales, Pre-Flight and on-board, and so on.

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

PKG_DWM_TRAF_CATG Mapping

Table 6-42 shows the mapping to populate target table DWM_TRAF_CATG. For more information, see TRAFFIC CATEGORY.

Source Table

DWL_TRAF_CATG_H

Table 6-42 PKG_DWM_TRAF_CATG ETL Source to Target Mapping

Column Name
Source Table Name
Source Column Name
Transformation Description
Comments (Formula If Any)

TRAF_CATG_KEY

DWL_TRAF_CATG_H

DWL_TRAF_CATG_H_SKEY

Direct mapping. It is the surrogate key generated at operational layer. The unique number helps to keep the data integrity between the operational and derived layer.

CATG_TYP

DWL_TRAF_CATG_H

CATG_TYP

Direct mapping This stores the category type for the Traffic category. Data flows from operational to derived layer.

LVL_1

DWL_TRAF_CATG_H

LVL1

Direct mapping. This stores the level 1of the traffic category. Data flows from operational to derived layer.

LVL_2

DWL_TRAF_CATG_H

LVL2

Direct mapping. This stores the level 2 of the traffic category. Data flows from operational to derived layer

LVL_3

DWL_TRAF_CATG_H

LVL3

Direct mapping. This stores the level 3 of the traffic category. Data flows from operational to derived layer

LVL_4

DWL_TRAF_CATG_H

LVL4

Direct mapping. This stores the level 4 of the traffic category. Data flows from operational to derived layer

LVL_5

DWL_TRAF_CATG_H

LVL5

Direct mapping. This stores the level 5 of the traffic category. Data flows from operational to derived layer

CALC_MONTH

DWL_TRAF_CATG_H

CALCD_MONTH

Direct mapping. This store the calculation month of the traffic category. Data flows from operational to derived layer

CALC_YR

DWL_TRAF_CATG_H

CALCD_YR

Direct mapping. This stores the calculation year of the traffic category calculation month. Data flows from operational to derived layer

TRAF_CATG_CD

DWL_TRAF_CATG_H

TRAF_CATG_CD

Direct mapping

TRAF_CATG_ID

DWL_TRAF_CATG_H

TRAFIC_CATG_ID

Direct mapping. This stores the primary key assigned by the source system. Data flows from operational to derived layer

DWFEED_ID

DWR_ACCT_H

DWFEED_ID

Direct mapping. It is the identifier of the data warehouse feed used to populate the load cycle.

SRC_SYS_ID

DWR_ACCT_H

SRC_SYS_ID

Direct mapping. It is the identifier of the source system.

SRC_SYS_CRTD_TMSTMP

DWR_ACCT_H

SRC_SYS_CRTD_TMSTMP

Direct mapping. It is the timestamp of the source system when the respective was generated in the source system

SRC_SYS_UPD_TMSTMP

DWR_ACCT_H

SRC_SYS_UPD_TMSTMP

Direct mapping. It is the timestamp of source system when the respective record was updated in the source system.

SRC_SYS_DEL_IND

DWR_ACCT_H

SRC_SYS_DEL_IND

Direct mapping. It is the delete flag that indicates the record is deleted in the source system.

'Y' if deleted or 'N' if not deleted

ETL_BATCH_ID

DWC_JOB_PARM

pv_ETL_BATCH_ID

It is the sequence of the load cycle in which the records are inserted / updated in the table.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_BY

DWC_JOB_PARM

pv_ETL_BATCH_CRE_BY

It is the name of the source system which created and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_CRTD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_CRE_TMSTMP

It is the current timestamp when a record is created as active record or present record.

The active flag i.e CURR_STS ='Y' or SRC_SYS_DEL_IND ='N'

ETL_BATCH_UPD_BY

DWC_JOB_PARM

pv_ETL_BATCH_UPD_BY

It is the name of the source system which updated and executed this load cycle.

Values are passed as parameterized from DWC_JOB_PARM

ETL_BATCH_UPD_TMSTMP

DWC_JOB_PARM

pv_ETL_BATCH_UPD_TMSTMP

It is the current timestamp when a record is updated as inactive record or deleted record.

The active flag i.e CURR_STS ='N' or SRC_SYS_DEL_IND ='Y'

DATA_MVT_STS_CD

DWC_JOB_PARM

pv_DATA_MVT_STS_CD

It is the status information of the Data movement from the source system. That is, the data is New or the data is processed.

P = Processed or N = New

VLD_FRM

DWR_ACCT_H

VLD_FRM

Direct mapping. It is the timestamp of the source system when the records was valid from in the load cycle.

Current Date

VLD_UPTO

DWR_ACCT_H

VLD_UPTO

Direct mapping. It is the timestamp of the source system when the records was valid upto in the load cycle.

'9999-12-31' in case of latest record and Current Date ¨C 1 in case of expirey record

CURR_STS

DWR_ACCT_H

CURR_STS

Direct mapping. It is the current status of the records in the load cycle from the source system where it is active or inactive.

Y = Active or N = Inactive.

ROUTE_ID

DWL_TRAF_CATG_H

ROUTE_ID

Direct mapping Data flows from operational to derived layer

FLT_NBR

DWL_TRAF_CATG_H

FLT_NBR

Direct mapping Data flows from operational to derived layer

CITY_PAIR_ID

DWL_TRAF_CATG_H

CITY_PAIR_ID

Direct mapping Data flows from operational to derived layer

MKTG_AREA_ID

DWL_TRAF_CATG_H

MKTG_AREA_ID

Direct mapping Data flows from operational to derived layer

GEO_AREA_ID

DWL_TRAF_CATG_H

GEO_AREA_ID

Direct mapping Data flows from operational to derived layer

ROUTE_PAIR_ID

DWL_TRAF_CATG_H

ROUTE_PAIR_ID

Direct mapping Data flows from operational to derived layer

MKTG_AREA_NM

DWL_TRAF_CATG_H

MKTG_AREA_NM

Direct mapping Data flows from operational to derived layer

Intra-ETL Process Flows

Intra-ETL is delivered as a component of Oracle Airlines Data Model. This intra-ETL is delivered as a PL/SQL package named PKG_INTRA_ETL_PROCESS which is a complete Intra-ETL process composed of sub process flows to populate the derived, aggregate, and dimension tables with the data from the base and reference tables. The PKG_INTRA_ETL_PROCESS flow respects the dependency of each individual program and executes the programs in the proper order.

The PKG_INTRA_ETL_PROCESS is composed of individual sub-process procedures and functions. The sub-processes execute in the order indicated:

Populate_Dimension - Populates the dimension (DWM_) tables based on the content of the reference (DWR_) tables.

Populate_Derived - Populates the derived (DWD_) tables based on the content of the base (DWB_) tables.

Populate_Aggregate - Refreshes all of the aggregate (DWA_) tables using data from the dimension (DWM_) and derived (DWD_) tables.

Populate_Aw - Loads data from Oracle Communications Data Model aggregate (DWA_) tables into the Oracle Communications Data Model Analytical Workspace and calculates the forecast data. It reads OLAP ETL parameters from DWC_OLAP_ETL_PARM table.

Populate_MINING - This sub-process flow triggers the data mining models.

Figure 6-1 shows the top-level Intra-ETL process flow.

Figure 6-1 Oracle Airlines Data Model Main Intra-ETL Process Flow

Description of Figure 6-1 follows
Description of "Figure 6-1 Oracle Airlines Data Model Main Intra-ETL Process Flow"

Figure 6-2 shows the process flow details for process flow 1.

Figure 6-2 Oracle Airlines Data Model Intra-ETL Process Flow 1 Details

Description of Figure 6-2 follows
Description of "Figure 6-2 Oracle Airlines Data Model Intra-ETL Process Flow 1 Details"

Figure 6-3 shows additional process flow details for process flow 1.

Figure 6-3 Oracle Airlines Data Model Intra-ETL Additional Process Flow 1 Details

Description of Figure 6-3 follows
Description of "Figure 6-3 Oracle Airlines Data Model Intra-ETL Additional Process Flow 1 Details"

Figure 6-4 shows process flow details for process flow 2.

Figure 6-4 Oracle Airlines Data Model Intra-ETL Process Flow 2 Details

Description of Figure 6-4 follows
Description of "Figure 6-4 Oracle Airlines Data Model Intra-ETL Process Flow 2 Details"

Figure 6-5 shows process flow details for process flow 3.

Figure 6-5 Oracle Airlines Data Model Intra-ETL Process Flow 3 Details

Description of Figure 6-5 follows
Description of "Figure 6-5 Oracle Airlines Data Model Intra-ETL Process Flow 3 Details"

7 Oracle Airlines Data Model OLAP Model Dimensions

This chapter of Oracle Airlines Data Model Reference describes the Data Flow between fact tables and dimension tables of Oracle Airlines Data Model relational.

This chapter includes the following sections:

Oracle Airlines Data Model Introduction to OLAP Dimensions

Oracle Airlines Data Model OLAP Dimensions

For more information, see Chapter 8, "Oracle Airlines Data Model OLAP Model Cubes".

Oracle Airlines Data Model Introduction to OLAP Dimensions

Oracle Airlines Data Model contains low level combination of base tables and summary, average, and so on, of Base and Derived data. Each dimension includes the following information:

Levels

Hierarchies

Attributes and Attribute mappings

Oracle Airlines Data Model OLAP Dimensions

Table 7-1 lists the Dimension tables.

Table 7-1 Oracle Airlines Data Model Dimension Tables

Dimension

Booking Class: BKCLS

Booking Office: BKOFC

Geography: GEO

Interaction Reason: IRSN

Loyalty Level: LOYLV

Operating Flight: OPFLT

Operating Segment: OPSMT

Route: ROUTE

Service: SRVC

Time: TIME

Booking Class: BKCLS

Table 7-2 briefly describes all the information of the Booking Class Dimension.

Table 7-2 Booking Class (BKCLS) Levels and Hierarchies

Level
Description
Booking Class Hierarchy (HBKCLS)

TBKCLS

Total Booking Class

TBKCLS

SVCLS

Service Class

SVCLS

BKCLS

Booking Class

BKCLS

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-3 Booking Class Long Description Attribute Mapping

Level
Mapping (Physical Column)

TBKCLS

Total Booking Class

SVCLS

DWM_BKG_CLS_TYP.SVC_CLS_DESC

BKCLS

DWM_BKG_CLS_TYP.BKG_CLS_DESC

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-4 Booking Class Short Description Attribute Mapping

Level
Mapping (Physical Column)

TBKCLS

Total Booking Class

SVCLS

DWM_BKG_CLS_TYP.SVC_CLS_CD

BKCLS

DWM_BKG_CLS_TYP.BKG_CLS_CD

Booking Office: BKOFC

Table 8-3 briefly describes all the information of the Booking Office Dimension.

Table 7-5 Booking Office (HBKOFC) Levels and Hierarchies

Levels
Description
Booking Office Hierarchy (HBKOFC)
Channel Type Hierarchy (HCNTYP)

TBKOFC

Total Booking Office

TBKOFC

TBKOFC

ACNTNT

Agent Continent

ACNTNT

ACUNTRY

Agent Country

ACUNTRY

ARGN

Agent Region

ARGN

ACITY

Agent City

ACITY

BKOFC

Booking Office

BKOFC

CNTYP

Channel Type

CNTYP

AGNT

Agent

AGNT

AGNT

Hierarchy of HBKOFC

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-6 Booking Office HBKOFC Long Description Attribute Mapping

Levels
Mapping (Physical Column)

TBKOFC

Total Booking Office

ACNTNT

DWM_BKG_OFF.AGNT_CONT

ACUNTRY

DWM_BKG_OFF.AGNT_CTRY

ARGN

DWM_BKG_OFF.AGNT_REGN

ACITY

DWM_BKG_OFF.AGNT_CITY

BKOFC

DWM_BKG_OFF.OFF_NM

AGNT

DWM_BKG_OFF.AGNT_NM

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-7 Booking Office HBKOFC Short Description Attribute Mapping

Level
Mapping (Physical Column)

TBKOFC

Total Booking Office

ACNTNT

DWM_BKG_OFF.AGNT_CONT_CD

ACUNTRY

DWM_BKG_OFF.AGNT_CTRY_CD

ARGN

DWM_BKG_OFF.AGNT_REGN_CD

ACITY

DWM_BKG_OFF.AGNT_CITY_CD

BKOFC

DWM_BKG_OFF.OFF_NM

AGNT

DWM_BKG_OFF.AGNT_NM

Attribute Name: Agent Status (ASTUS)

Table 7-8 Booking Office HBKOFC Agent Status Attribute Mapping

Level
Mapping (Physical Column)

TBKOFC

ACNTNT

ACUNTRY

ARGN

ACITY

BKOFC

AGNT

DWM_BKG_OFF.AGNT_STATE

Attribute Name: Agent Name (ANM)

Table 7-9 Booking Office HBKOFC Agent Name Attribute Mapping

Level
Mapping (Physical Column)

TBKOFC

ACNTNT

ACUNTRY

ARGN

ACITY

BKOFC

AGNT

DWM_BKG_OFF.AGNT_NM

Attribute Name: Agent IATA Code (AITCD)

Table 7-10 Booking Office HBKOFC Agent IATA Code Attribute Mapping

Level
Mapping (Physical Column)

TBKOFC

ACNTNT

ACUNTRY

ARGN

ACITY

BKOFC

AGNT

DWM_BKG_OFF.IATA_CD

Hierarchy of HCNTYP

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-11 Booking Office HCNTYP Long Description Mapping

Level
Mapping (Physical Column)

TBKOFC

Total Booking Office

CNTYP

DWM_BKG_OFF.CHNL_TYP

AGNT

DWM_BKG_OFF.AGNT_NM

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-12 Booking Office HCNTYP Short Description Mapping

Level
Mapping (Physical Column)

TBKOFC

Total Booking Office

CNTYP

DWM_BKG_OFF.CHNL_TYP

AGNT

DWM_BKG_OFF.AGNT_NM

Attribute Name: Agent IATA Code (AITCD))

Table 7-13 Booking Office HCNTYP IATA Code Attribute Mapping

Level
Mapping (Physical Column)

TBKOFC

CNTYP

AGNT

DWM_BKG_OFF.IATA_CD

Attribute Name: Agent Name (ANM)

Table 7-14 Booking Office HCNTYP Agent Name Attribute Mapping

Level
Mapping (Physical Column)

TBKOFC

CNTYP

AGNT

DWM_BKG_OFF.AGNT_NM

Attribute Name: Agent Status (ASTUS)

Table 7-15 Booking Office HCNTYP Agent Status Attribute Mapping

Level
Mapping (Physical Column)

TBKOFC

CNTYP

AGNT

DWM_BKG_OFF.AGNT_STATE

Geography: GEO

Table 8-4 briefly describes all the information of the Geography Dimension.

Table 7-16 Geography (HGEO) Levels and Hierarchies

Level
Description
Geography Hierarchy (HGEO)

TGEO

Total Geography

TGEO

CONT

Continent

CONT

COUNTRY

Country

COUNTRY

CITY

City

CITY

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-17 Geography Long Description Attribute Mapping

Level
Mapping (Physical Column)

TGEO

Total Geography

CONT

DWM_GEOGRY.CONT_NM

COUNTRY

DWM_GEOGRY.CTRY_NM

CITY

DWM_GEOGRY.CITY_NM

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-18 Geography Short Description Attribute Mapping

Level
Mapping (Physical Column)

TGEO

Total Geography

CONT

DWM_GEOGRY.CONT_SURNM

COUNTRY

DWM_GEOGRY.CTRY_SURNM

CITY

DWM_GEOGRY.CITY_CD

Interaction Reason: IRSN

Table 8-5 briefly describes all the information of the Interaction Reason Dimension.

Table 7-19 Interaction Reason (HIRSN) Levels and Hierarchies

Level
Description
Interaction Reason Hierarchy (HIRSN)

TIRSN

Total Interaction Reason

TIRSN

IRSN

Interaction Reason

IRSN

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-20 Interaction Reason Long Description Attribute Mapping

Level
Mapping (Physical Column)

TIRSN

Total Interaction Reason

IRSN

DWL_INTERACTION_RSN.INTERACTION_RSN_NM

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-21 Interaction Reason Short Description Attribute Mapping

Level
Mapping (Physical Column)

TIRSN

Total Interaction Reason

IRSN

DWL_INTERACTION_RSN.INTERACTION_RSN_DESC

Loyalty Level: LOYLV

Table 8-6 briefly describes all the information of the Loyalty Level Dimension.

Table 7-22 Loyalty Level (HLOYLY) Levels and Hierarchies

Level
Description
Loyalty Level Hierarchy (HLOYLY)

TLOYLY

Total Loyalty Level

TLOYLY

LOYLY

Loyalty Level

LOYLY

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-23 Loyalty Level Long Description Attribute Mapping

Level
Mapping (Physical Column)

TLOYLY

Total Loyalty Level

LOYLY

DWR_LOYALTY_LVL.LOYALTY_LVL_NM

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-24 Loyalty Level Short Description Attribute Mapping

Level
Mapping (Physical Column)

TLOYLY

Total Loyalty Level

LOYLY

DWR_LOYALTY_LVL.LOYALTY_LVL_NM

Attribute Name: Level Qualifying Start Points (LVL_STPN)

Table 7-25 Loyalty Level Qualifying Start Points Attribute Mapping

Level
Mapping (Physical Column)

TLOYLY

LOYLY

DWR_LOYALTY_LVL.LVL_QUALIFYING_STRT_POINTS

Operating Flight: OPFLT

Table 8-7 briefly describes all the information of the Operating Flight Dimension.

Table 7-26 Operating Flight (OPFLT) Levels and Hierarchies

Level
Description
Operating Flight Hierarchy (HOPFLT)

TOPFLT

Total Operating Flight

TOPFLT

OPFLT

Operating Flight

OPFLT

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-27 Operating Flight Long Description Attribute Mapping

Level
Mapping (Physical Column)

TOPFLT

Total Operating Flight

OPFLT

DWM_FLT.FLT_TXT_DESC

Attribute Name: Short Description(SHORT_DESCRIPTION)

Table 7-28 Operating Flight Short Description Attribute Mapping

Level
Mapping (Physical Column)

TOPFLT

Total Operating Flight

OPFLT

DWM_FLT.FLT_NBR

Operating Segment: OPSMT

Table 8-8 briefly describes all the information of the Operating Segment Dimension.

Table 7-29 Operating Segment (OPSMT) Levels and Hierarchies

Level
Description
Operating Segment Hierarchy (HOPSMT)

TOPSMT

Total Operating Segment

TOPSMT

TFRGN

Traffic Region

TFRGN

OPSMT

Operating Segment

OPSMT

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-30 Operating Segment Long Description Attribute Mapping

Level
Mapping (Physical Column)

TOPSMT

Total Operating Segment

TFRGN

DWM_SEG.OFPNT_CONT

OPSMT

DWM_SEG.OFPNT_AIP_NM

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-31 Operating Segment Short Description Attribute Mapping

Level
Mapping (Physical Column)

TOPSMT

Total Operating Segment

TFRGN

DWM_SEG.OFPNT_CONT

OPSMT

DWM_SEG.BRD_AIP_NM

Attribute Name: Segment Pair (SEG_PAIR)

Table 7-32 Operating Segment Segment Pair Attribute Mapping

Level
Mapping (Physical Column)

TOPSMT

TFRGN

OPSMT

DWM_SEG.OFPNT_AIP_NM || DWM_SEG.BRD_AIP_NM

Route: ROUTE

Table 8-9 briefly describes all the information of the Route Dimension.

Table 7-33 Route (ROUTE) Levels and Hierarchies

Level
Description
Route Hierarchy (HROUTE)

TROUTE

Total Route

TROUTE

ROUTE

Route

ROUTE

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-34 Route Long Description Attribute Mapping

Level
Mapping (Physical Column)

TROUTE

Total Route

ROUTE

ROUTE LD

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-35 Route Short Description Attribute Mapping

Level
Mapping (Physical Column)

TROUTE

Total Route

ROUTE

ROUTE SD

Service: SRVC

Table 8-10 briefly describes all the information of the Service Dimension.

Table 7-36 Service (SRVC) Levels and Hierarchies

Level
Description
Service Hierarchy (HSRVC)

SVTYP

Service Type

SVTYP

SRVC

Service

SRVC

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-37 Service Long Description Attribute Mapping

Level
Mapping (Physical Column)

SVTYP

DWR_SERVICE.SERVICE_DESC

SRVC

DWR_SERVICE.SERVICE_TYP_DESC

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-38 Service Short Description Attribute Mapping

Level
Mapping (Physical Column)

SVTYP

DWR_SERVICE.SERVICE_NM

SRVC

DWR_SERVICE.SERVICE_TYP_NM

Time: TIME

Table 8-11 briefly describes all the information of the Time Dimension.

Table 7-39 Time (TIME) Levels and Hierarchies

Level
Description
Time Hierarchy (HTIME)

TIME

Total Time

TIME

YEAR

Year

YEAR

HLFY

Half Year

HLFY

QTR

Quarter

QTR

MONTH

Month

MONTH

WEEK

Week

WEEK

DAY

Day

DAY

Attribute Name: Long Description (LONG_DESCRIPTION)

Table 7-40 Time Long Description Attribute Mapping

Level
Mapping (Physical Column)

TIME

Total Time

YEAR

DWM_CLNDR.CLNDR_YR_DESC

HLFY

DWM_CLNDR.CLNDR_HALF_YR_DESC

QTR

DWM_CLNDR.CLNDR_QTR

MONTH

DWM_CLNDR.CLNDR_MONTH_NM

WEEK

DWM_CLNDR.CLNDR_WEEK_DESC

DAY

DWM_CLNDR.CLNDR_DT_DESC

Attribute Name: Short Description (SHORT_DESCRIPTION)

Table 7-41 Time Short Description Attribute Mapping

Level
Mapping (Physical Column)

TIME

Total Time

YEAR

DWM_CLNDR.CLNDR_YR_CD

HLFY

DWM_CLNDR.CLNDR_HALF_YR_CD

QTR

DWM_CLNDR.CLNDR_QTR_CD

MONTH

DWM_CLNDR.CLNDR_MONTH_CD

WEEK

DWM_CLNDR.CLNDR_WEEK_CD

DAY

DWM_CLNDR.CLNDR_DT_DESC

Attribute Name: End Date (END_DATE)

Table 7-42 Time End Date Attribute Mapping

Level
Mapping (Physical Column)

TIME

DWM_CLNDR.CLNDR_YR_END_DT

YEAR

DWM_CLNDR.CLNDR_YR_END_DT

HLFY

DWM_CLNDR.CLNDR_HALF_YR_END_DT

QTR

DWM_CLNDR.CLNDR_QTR_END_DT

MONTH

DWM_CLNDR.CLNDR_MONTH_END_DT

WEEK

DWM_CLNDR.CLNDR_WEEK_END_DT

DAY

DWM_CLNDR.CLNDR_DT

Attribute Name: Time Span (TIME_SPAN)

Table 7-43 Time Span Attribute Mapping

Level
Mapping (Physical Column)

TIME

DWM_CLNDR.CLNDR_YR_TIMESPAN

YEAR

DWM_CLNDR.CLNDR_YR_TIMESPAN

HLFY

DWM_CLNDR.CLNDR_HALF_YR_TIMESPAN

QTR

DWM_CLNDR.CLNDR_QTR_TIMESPAN

MONTH

DWM_CLNDR.CLNDR_MONTH_TIMESPAN

WEEK

DWM_CLNDR.CLNDR_WEEK_TIMESPAN

DAY

1

Attribute Name: Calendar Week Number In Year (CWIY)

Table 7-44 Time Calendar Week Number in Year Attribute Mapping

Level
Mapping (Physical Column)

TIME

YEAR

HLFY

QTR

MONTH

WEEK

DWM_CLNDR.CLNDR_WEEK_NBR_IN_YR

DAY

DWM_CLNDR.CLNDR_WEEK_NBR_IN_YR

Attribute Name: Day of Week Number (DOWN)

Table 7-45 Time Day of Week Number Attribute Mapping

Level
Mapping (Physical Column)

TIME

YEAR

HLFY

QTR

MONTH

WEEK

DAY

DWM_CLNDR.DAY_OF_WEEK_NBR

Attribute Name: Day of Week Name (DOWNM)

Table 7-46 Time Day of Week Name Attribute Mapping

Level
Mapping (Physical Column)

TIME

YEAR

HLFY

QTR

MONTH

WEEK

DAY

DWM_CLNDR.DAY_OF_WEEK_NM

8 Oracle Airlines Data Model OLAP Model Cubes

This chapter includes the following sections:

Oracle Airlines Data Model OLAP Cubes Overview

Booking Segment Departure Fact Cube: BSDF

Booking Segment Departure Fact Forecast Cube: BSDF_F

Call Center Performance Fact Cube: CCPF

Customer Survey Daily Fact Cube: CSDF

Flight Detail Daily Fact Cube: FDDF

Loyalty Account Fact Cube: LYAF

Loyalty Booking Fact Cube: LYBF

For more information, see Chapter 7, "Oracle Airlines Data Model OLAP Model Dimensions".

Oracle Airlines Data Model OLAP Cubes Overview

For each cube, each section includes the following cube information:

Description

Dimensions (leaf load level and load sequence)

Base Measures with Physical Mapping and Description

Derived Measure with the Logical Name and the Calculations

Table 8-1 lists the Oracle Airlines Data Model OLAP cubes.

Table 8-1 Oracle Airlines Data Model OLAP Cubes

Cube
Physical Name

Booking Segment Departure Fact Cube: BSDF

BSDF

Booking Segment Departure Fact Forecast Cube: BSDF_F

BSDF_F

Call Center Performance Fact Cube: CCPF

CCPF

Customer Survey Daily Fact Cube: CSDF

CSDF

Flight Detail Daily Fact Cube: FDDF

FDDF

Loyalty Account Fact Cube: LYAF

LYAF

Loyalty Booking Fact Cube: LYBF

LYBF

Booking Segment Departure Fact Cube: BSDF

Contains the summarized booking segment departure information.

Physical Name: BSDF

Dimensions and Load Level

Table 8-2 briefly describes the Dimensions and Load Level.

Table 8-2 Booking Segment Departure Fact Cube Dimensions and Load Level

Dimensions
Load Level

TIME

DAY

BKCLS

BKCLS

ROUTE

ROUTE

OPFLT

OPFLT

OPSMT

OPSMT

BKOFC

AGNT

Aggregation Order/Operator

Table 8-3 briefly describes the Aggregation Order/Operator.

Table 8-3 Booking Segment Departure Fact Cube Aggregation Operator and Order

Dimension Name
Operator
Order

TIME

sum

1

BKCLS

sum

2

BKOFC

sum

3

OPFLT

sum

4

OPSMT

sum

5

ROUTE

sum

6

Base Measures

Table 8-4 briefly describes the Base Measures.

Table 8-4 Booking Segment Departure Fact Cube Base Measures

Physical Name
Logical Name
Physical Column
Description

BKD

Booked Count

DWA_DLY_BKG_FACT.BKD

Booked Count

CFCNT

Confirmed Count

DWA_DLY_BKG_FACT.CONFMD_CNT

Confirmed Count

CLCNT

Cancelled Count

DWA_DLY_BKG_FACT.CNCLD_CNT

Cancelled Count

TKD

Ticketed Count

DWA_DLY_BKG_FACT.TKTD

Ticketed Count

NTCFD

Net Confirmed

DWA_DLY_BKG_FACT.NET_CONFMD

Net Confirmed

GBKD

Group Booked

DWA_DLY_BKG_FACT.GRP_BKD_QTY

Group Booked

IBKD

Individual Booked

DWA_DLY_BKG_FACT.INDV_BKD_QTY

Individual Booked

OTCHR

Other Charges

DWA_DLY_BKG_FACT.OTR_CHARGES

Other Charges

TXS

Taxes

DWA_DLY_BKG_FACT.TAX_AMT

Taxes

TRVN

Total Revenue

DWA_DLY_BKG_FACT.TKT_AMT

Total Revenue

PXCNT

Passenger Count

DWA_DLY_BKG_FACT.PAX_CNT

Passenger Count

WTLST

Wait Listed Count

DWA_DLY_BKG_FACT.WAITLISED

Wait Listed Count

FRVN

Flown Revenue

DWA_DLY_BKG_FACT.FLN_REV

Flown Revenue

FPAX

Flown Passenger Count

DWA_DLY_BKG_FACT.FLN_PAX_CNT

Flown Passenger Count

NFPAX

Non Revenue Flown Passenger Count

DWA_DLY_BKG_FACT.NON_REV_FLN_PAX_CNT

Non Revenue Flown Passenger Count

CPC

Coupons Count

DWA_DLY_BKG_FACT.CPN_CNT

Coupons Count

OBRVN

Onboard Revenue

DWA_DLY_BKG_FACT.ONBRD_REV

Onboard Revenue

EBRVN

Excess Bag Revenue

DWA_DLY_BKG_FACT.EXCESS_BAG_REV

Excess Bag Revenue

FES

Fees Revenue

DWA_DLY_BKG_FACT.FEES_REV

Fees Revenue

CTRVN

Charter Revenue

DWA_DLY_BKG_FACT.CHARTER_REV

Charter Revenue

BCRVN

Belly Cargo Revenue

DWA_DLY_BKG_FACT.BELLY_CARGO_REV

Belly Cargo Revenue

CSRVN

Code Share Revenue

DWA_DLY_BKG_FACT.CDSH_REV

Code Share Revenue

OTRVN

Other Revenue

DWA_DLY_BKG_FACT.OTR_REV

Other Revenue

Derived Measures

Table 8-5 briefly describes the Derived Measures.

Table 8-5 Booking Segment Departure Fact Cube Derived Measures

Physical Name
Logical Name
Definition

BCRVN_LP

Belly Cargo Revenue LP

LAG(BSDF.BCRVN, 1) OVER HIERARCHY ("TIME".HTIME)

BCRVN_LP_PCT_CHG

Belly Cargo Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.BCRVN, 1) OVER HIERARCHY ("TIME".HTIME)

BCRVN_YTD

Belly Cargo Revenue YTD

SUM(BSDF.BCRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

BCRVN_YTD_LY

Belly Cargo Revenue YTD LY

LAG(BSDF.BCRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BCRVN_YTD_LYP_CHG

Belly Cargo Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.BCRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BKCR

Booking Conversion Rate

(BSDF.NTCFD / BSDF.NTBKD) * 100

BKD_LP

Booked LP

LAG(BSDF.BKD, 1) OVER HIERARCHY ("TIME".HTIME)

BKD_LP_PCT_CHG

Booked % Change LP

LAG_VARIANCE_PERCENT(BSDF.BKD, 1) OVER HIERARCHY ("TIME".HTIME)

BKD_LY

Booked LY

LAG(BSDF.BKD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BKD_LY_CHG

Booked Change LY

LAG_VARIANCE(BSDF.BKD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BKD_LY_PCT_CHG

Booked % Change LY

LAG_VARIANCE_PERCENT(BSDF.BKD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BKD_RNK_OFC

Booked Rank of Booking Office Parent

RANK() OVER HIERARCHY (BKOFC.HBKOFC ORDER BY BSDF.BKD DESC NULLS LAST WITHIN PARENT)

BKD_RNK_RUT

Booked Rank of Route Parent

RANK() OVER HIERARCHY (ROUTE.HROUTE ORDER BY BSDF.BKD DESC NULLS LAST WITHIN PARENT)

BKD_SHR_OFC

Booked share of booking office parent

SHARE(BSDF.BKD OF BKOFC.HBKOFC PARENT)

BKD_YTD

Booked Count YTD

SUM(BSDF.BKD) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

BKD_YTD_LY

Booked Count YTD LY

LAG(BSDF.BKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BKD_YTD_LYP_CHG

Booked Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.BKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BTTR

Book to Ticket Rate

(BSDF.TKD / BSDF.BKD) * 100

CFCNT_LP

Confirmed LP

LAG(BSDF.CFCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CFCNT_LP_PCT_CHG

Confirmed % Change LP

LAG_VARIANCE_PERCENT(BSDF.CFCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CFCNT_LY

Confirmed LY

LAG(BSDF.CFCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CFCNT_LY_CHG

Confirmed Change LY

LAG_VARIANCE(BSDF.CFCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CFCNT_LY_PCT_CHG

Confirmed % Change LY

LAG_VARIANCE_PERCENT(BSDF.CFCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CFCNT_RNK_OFC

Confirmed Rank of Booking Office

RANK() OVER HIERARCHY (BKOFC.HBKOFC ORDER BY BSDF.CFCNT DESC NULLS LAST WITHIN PARENT)

CFCNT_SHR_OFC

Confirmed Share of Booking Office Parent

SHARE(BSDF.CFCNT OF BKOFC.HBKOFC PARENT)

CFCNT_YTD

Confirmed Count YTD

SUM(BSDF.CFCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CFCNT_YTD_LY

Confirmed Count YTD LY

LAG(BSDF.CFCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING

CFCNT_YTD_LYP_CHG

Confirmed Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.CFCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLCNT_LP

Cancelled LP

LAG(BSDF.CLCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CLCNT_LP_PCT_CHG

Cancelled % Change LP

LAG_VARIANCE_PERCENT(BSDF.CLCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CLCNT_LY

Cancelled LY

LAG(BSDF.CLCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLCNT_LY_CHG

Cancelled Change LY

LAG_VARIANCE(BSDF.CLCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLCNT_LY_PCT_CHG

Cancelled % Change LY

LAG_VARIANCE_PERCENT(BSDF.CLCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLCNT_RNK_OFC

Cancelled Rank of Booking Office

RANK() OVER HIERARCHY (BKOFC.HBKOFC ORDER BY BSDF.CLCNT DESC NULLS LAST WITHIN PARENT)

CLCNT_SHR_OFC

Cancelled Share of Booking Office Parent

SHARE(BSDF.CLCNT OF BKOFC.HBKOFC PARENT)

CLCNT_YTD

Cancelled Count YTD

SUM(BSDF.CLCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CLCNT_YTD_LY

Cancelled Count YTD LY

LAG(BSDF.CLCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLCNT_YTD_LYP_CHG

Cancelled Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.CLCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLFCF

Cancelled From Confirmed

BSDF.CFCNT - BSDF.CLCNT

CLFCF_LP

Cancelled From Confirmed LP

BSDF.CFCNT_LP - BSDF.CLCNT_LP

CLFCF_LP_PCT_CHG

Cancelled from Confirmed % Change LP

((BSDF.CLFCF - BSDF.CLFCF_LP) / BSDF.CLFCF_LP) * 100

CLFCF_LY

Cancelled From Confirmed LY

BSDF.CFCNT_LY - BSDF.CLCNT_LY

CLFCF_LY_PCT_CHG

Cancelled from Confirmed % Change LY

((BSDF.CLFCF - BSDF.CLFCF_LY) / BSDF.CLFCF_LY) * 100

CLRT

Cancellation Rate

(BSDF.CLCNT / BSDF.BKD) * 100

CLRT_LP

Cancellation Rate LP

(BSDF.CLCNT_LP / BSDF.BKD_LP) * 100

CPC_LP

Coupons Count LP

LAG(BSDF.CPC, 1) OVER HIERARCHY ("TIME".HTIME)

CPC_LP_PCT_CHG

Coupons Count % Change LP

LAG_VARIANCE_PERCENT(BSDF.CPC, 1) OVER HIERARCHY ("TIME".HTIME)

CPC_YTD

Coupons Count YTD

SUM(BSDF.CPC) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CPC_YTD_LY

Coupons Count YTD LY

LAG(BSDF.CPC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CPC_YTD_LYP_CHG

Coupons Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.CPC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CSRVN_LP

Code Share Revenue LP

LAG(BSDF.CSRVN, 1) OVER HIERARCHY ("TIME".HTIME)

CSRVN_LP_PCT_CHG

Code Share Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.CSRVN, 1) OVER HIERARCHY ("TIME".HTIME)

CSRVN_YTD

Code Share Revenue YTD

SUM(BSDF.CSRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CSRVN_YTD_LY

Code Share Revenue YTD LY

LAG(BSDF.CSRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CSRVN_YTD_LYP_CHG

Code Share Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.CSRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CTRVN_LP

Charter Revenue LP

LAG(BSDF.CTRVN, 1) OVER HIERARCHY ("TIME".HTIME)

CTRVN_LP_PCT_CHG

Charter Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.CTRVN, 1) OVER HIERARCHY ("TIME".HTIME)

CTRVN_YTD

Charter Revenue YTD

SUM(BSDF.CTRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CTRVN_YTD_LY

Charter Revenue YTD LY

LAG(BSDF.CTRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CTRVN_YTD_LYP_CHG

Charter Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.CTRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

EBRVN_LP

Excess Bag Revenue LP

LAG(BSDF.EBRVN, 1) OVER HIERARCHY ("TIME".HTIME)

EBRVN_LP_PCT_CHG

Excess Bag Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.EBRVN, 1) OVER HIERARCHY ("TIME".HTIME)

EBRVN_YTD

Excess Bag Revenue YTD

SUM(BSDF.EBRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

EBRVN_YTD_LY

Excess Bag Revenue YTD LY

LAG(BSDF.EBRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

EBRVN_YTD_LYP_CHG

Excess Bag Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.EBRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FES_LP

Fees Revenue LP

LAG(BSDF.FES, 1) OVER HIERARCHY ("TIME".HTIME)

FES_LP_PCT_CHG

Fees Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.FES, 1) OVER HIERARCHY ("TIME".HTIME)

FES_YTD

Fees Revenue YTD

SUM(BSDF.FES) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

FES_YTD_LY

Fees Revenue YTD LY

LAG(BSDF.FES_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FES_YTD_LYP_CHG

Fees Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.FES_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FPAX_LP

Flown Passenger Count LP

LAG(BSDF.FPAX, 1) OVER HIERARCHY ("TIME".HTIME)

FPAX_LP_PCT_CHG

Flown Passenger Count % Change LP

LAG_VARIANCE_PERCENT(BSDF.FPAX, 1) OVER HIERARCHY ("TIME".HTIME)

FPAX_YTD

Flown Passenger Count YTD

SUM(BSDF.FPAX) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

FPAX_YTD_LY

Flown Passenger Count YTD LY

LAG(BSDF.FPAX_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FPAX_YTD_LYP_CHG

Flown Passenger Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.FPAX_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FRVN_LP

Flown Revenue LP

LAG(BSDF.FRVN, 1) OVER HIERARCHY ("TIME".HTIME)

FRVN_LP_PCT_CHG

Flown Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.FRVN, 1) OVER HIERARCHY ("TIME".HTIME)

FRVN_RNK_BKOFC

Flown Revenue Ranking of Booking Office Parent

RANK() OVER HIERARCHY (BKOFC.HBKOFC ORDER BY BSDF.FRVN DESC NULLS LAST WITHIN ANCESTOR AT LEVEL BKOFC.TBKOFC)

FRVN_RNK_CNTYP

Flown Revenue Ranking of Channel Type Parent

RANK() OVER HIERARCHY (BKOFC.HCNTYP ORDER BY BSDF.FRVN DESC NULLS LAST WITHIN PARENT)

FRVN_YTD

Flown Revenue YTD

SUM(BSDF.FRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

FRVN_YTD_LY

Flown Revenue YTD LY

LAG(BSDF.FRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FRVN_YTD_LYP_CHG

Flown Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.FRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

GBKD_LP

Group Booked LP

LAG(BSDF.GBKD, 1) OVER HIERARCHY ("TIME".HTIME)

GBKD_LP_PCT_CHG

Group Booked % Change LP

LAG_VARIANCE_PERCENT(BSDF.GBKD, 1) OVER HIERARCHY ("TIME".HTIME)

GBKD_YTD

Group Booked YTD

SUM(BSDF.GBKD) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

GBKD_YTD_LY

Group Booked YTD LY

LAG(BSDF.GBKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

GBKD_YTD_LYP_CHG

Group Booked YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.GBKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

IBKD_LP

Individual Booked LP

LAG(BSDF.IBKD, 1) OVER HIERARCHY ("TIME".HTIME)

IBKD_LP_PCT_CHG

Individual Booked % Change LP

LAG_VARIANCE_PERCENT(BSDF.IBKD, 1) OVER HIERARCHY ("TIME".HTIME)

IBKD_YTD

Individual Booked YTD

SUM(BSDF.IBKD) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

IBKD_YTD_LY

Individual Booked YTD LY

LAG(BSDF.IBKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

IBKD_YTD_LYP_CHG

Individual Booked YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.IBKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

MTLR

Materialization Rate

((BSDF.CFCNT - BSDF.CLFCF) / BSDF.CFCNT) * 100

MTLR_LP

Materialization Rate LP

((BSDF.CFCNT_LP - BSDF.CLFCF_LP) / BSDF.CFCNT_LP) * 100

MTLR_LP_PCT_CHG

Materialization Rate % Change LP

((BSDF.MTLR - BSDF.MTLR_LP) / BSDF.MTLR_LP) * 100

MTLR_LY

Materialization Rate LY

((BSDF.CFCNT_LY - BSDF.CLFCF_LY) / BSDF.CFCNT_LP) * 100

MTLR_LY_PCT_CHG

Materialization Rate % Change LY

((BSDF.MTLR - BSDF.MTLR_LY) / BSDF.MTLR_LY) * 100

NFPAX_LP

Non Revenue Flown Passenger Count LP

LAG(BSDF.NFPAX, 1) OVER HIERARCHY ("TIME".HTIME)

NFPAX_LP_PCT_CHG

Non Revenue Flown Passenger Count % Change LP

LAG_VARIANCE_PERCENT(BSDF.NFPAX, 1) OVER HIERARCHY ("TIME".HTIME)

NFPAX_YTD

Non Revenue Flown Passenger Count YTD

SUM(BSDF.NFPAX) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

NFPAX_YTD_LY

Non Revenue Flown Passenger Count YTD LY

LAG(BSDF.NFPAX_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

NFPAX_YTD_LYP_CHG

Non Revenue Flown Passenger Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.NFPAX_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

NRPB

Net Revenue Per Booking

BSDF.NRVN / BSDF.BKD

NRPB_LP

Net Revenue Per Booking LP

BSDF.NRVN_LP / BSDF.BKD_LP

NRPB_LY

Net Revenue Per Booking LY

BSDF.NRVN_LY / BSDF.BKD_LY

NRPB_LY_CHG

Net Revenue Per Booking Change LY

BSDF.NRPB - BSDF.NRPB_LY

NRPB_LY_PCT_CHG

Net Revenue Per Booking % Change LY

(BSDF.NRPB_LY_CHG / BSDF.NRPB_LY) * 100

NRPP

Net Revenue Per PAX

BSDF.NRVN / BSDF.PXCNT

NRPP_LP

Net Revenue Per PAX LP

BSDF.NRVN_LP / BSDF.PXCNT_LP

NRPP_LY

Net Revenue Per PAX LY

BSDF.NRVN_LY / BSDF.PXCNT_LY

NRPP_LY_CHG

Net Revenue Per PAX Change LY

BSDF.NRPP - BSDF.NRPP_LY

NRPP_LY_PCT_CHG

Net Revenue Per PAX % Change LY

(BSDF.NRPP_LY_CHG / BSDF.NRPP_LY) * 100

NRPS

Non Revenue Passenger Share

(BSDF.NFPAX / BSDF.FPAX) * 100

NRVN

Net Revenue

BSDF.TRVN - (BSDF.OTCHR + BSDF.TXS)

NRVN_LP

Net Revenue LP

BSDF.TRVN_LP - (BSDF.OTCHR_LP + BSDF.TXS_LP)

NRVN_LY

Net Revenue LY

BSDF.TRVN_LY - (BSDF.OTCHR_LY + BSDF.TXS_LY)

NRVN_LY_CHG

Net Revenue Change LY

BSDF.NRVN - BSDF.NRVN_LY

NRVN_LY_PCT_CHG

Net Revenue % Change LY

(BSDF.NRVN_LY_CHG / BSDF.NRVN_LY) * 100

NTBKD

Net Booked

BSDF.BKD - BSDF.CLFCF

NTBKD_LP

Net Booked LP

BSDF.BKD_LP - BSDF.CLFCF_LP

NTBKD_LP_PCT_CHG

Net Booked % Change LP

((BSDF.NTBKD - BSDF.NTBKD_LP) / BSDF.NTBKD_LP) * 100

NTBKD_LY

Net Booked LY

BSDF.BKD_LY - BSDF.CLFCF_LY

NTBKD_LY_PCT_CHG

Net Booked % Change LY

((BSDF.NTBKD - BSDF.NTBKD_LY) / BSDF.NTBKD_LY) * 100

NTCFD_YTD

Net Confirmed YTD

SUM(BSDF.NTCFD) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

NTCFD_YTD_LY

Net Confirmed YTD LY

LAG(BSDF.NTCFD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

NTCFD_YTD_LYP_CHG

Net Confirmed YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.NTCFD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OBRVN_LP

Onboard Revenue LP

LAG(BSDF.OBRVN, 1) OVER HIERARCHY ("TIME".HTIME)

OBRVN_LP_PCT_CHG

Onboard Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.OBRVN, 1) OVER HIERARCHY ("TIME".HTIME)

OBRVN_YTD

Onboard Revenue YTD

SUM(BSDF.OBRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

OBRVN_YTD_LY

Onboard Revenue YTD LY

LAG(BSDF.OBRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OBRVN_YTD_LYP_CHG

Onboard Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.OBRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OTCHR_LP

Other Charges LP

LAG(BSDF.OTCHR, 1) OVER HIERARCHY ("TIME".HTIME)

OTCHR_LY

Other Charges LY

LAG(BSDF.OTCHR, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OTCHR_LY_CHG

Other Charges Change LY

LAG_VARIANCE(BSDF.OTCHR, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OTCHR_LY_PCT_CHG

Other Charges % Change LY

LAG_VARIANCE_PERCENT(BSDF.OTCHR, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OTCHR_YTD

Other Charges YTD

SUM(BSDF.OTCHR) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

OTCHR_YTD_LY

Other Charges YTD LY

LAG(BSDF.OTCHR_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OTCHR_YTD_LYP_CHG

Other Charges YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.OTCHR_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OTRVN_LP

Other Revenue LP

LAG(BSDF.OTRVN, 1) OVER HIERARCHY ("TIME".HTIME)

OTRVN_LP_PCT_CHG

Other Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.OTRVN, 1) OVER HIERARCHY ("TIME".HTIME)

OTRVN_YTD

Other Revenue YTD

SUM(BSDF.OTRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

OTRVN_YTD_LY

Other Revenue YTD LY

LAG(BSDF.OTRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

OTRVN_YTD_LYP_CHG

Other Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.OTRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

PXCNT_LP

Passenger Count LP

LAG(BSDF.PXCNT, 1) OVER HIERARCHY ("TIME".HTIME)

PXCNT_LP_PCT_CHG

Passenger Count % Change LP

LAG_VARIANCE_PERCENT(BSDF.PXCNT, 1) OVER HIERARCHY ("TIME".HTIME)

PXCNT_LY

Passenger Count LY

LAG(BSDF.PXCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

PXCNT_LY_CHG

Passenger Count Change LY

LAG_VARIANCE(BSDF.PXCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

PXCNT_LY_PCT_CHG

Passenger Count % Change LY

LAG_VARIANCE_PERCENT(BSDF.PXCNT, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

PXCNT_RNK_RUT

Passenger Count Rank of Route Parent

RANK() OVER HIERARCHY (ROUTE.HROUTE ORDER BY BSDF.PXCNT DESC NULLS LAST WITHIN PARENT)

PXCNT_YTD

Passenger Count YTD

SUM(BSDF.PXCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

PXCNT_YTD_LY

Passenger Count YTD LY

LAG(BSDF.PXCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

PXCNT_YTD_LYP_CHG

Passenger Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.PXCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TKD_LP

Ticked LP

LAG(BSDF.TKD, 1) OVER HIERARCHY ("TIME".HTIME)

TKD_LP_PCT_CHG

Ticketed % Change LP

LAG_VARIANCE_PERCENT(BSDF.TKD, 1) OVER HIERARCHY ("TIME".HTIME)

TKD_LY

Ticketed LY

LAG(BSDF.TKD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TKD_LY_CHG

Ticketed Change LY

LAG_VARIANCE(BSDF.TKD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TKD_LY_PCT_CHG

Ticketed % Change LY

LAG_VARIANCE_PERCENT(BSDF.TKD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TKD_YTD

Ticketed Count YTD

SUM(BSDF.TKD) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TKD_YTD_LY

Ticketed Count YTD LY

LAG(BSDF.TKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TKD_YTD_LYP_CHG

Ticketed Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.TKD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TRPB

Total Revenue Per Booking

BSDF.TRVN / BSDF.BKD

TRPB_LY

Total Revenue Per Booking LY

BSDF.TRVN_LY / BSDF.BKD_LY

TRPB_LY_CHG

Total Revenue Per Booking Change LY

BSDF.TRPB - BSDF.TRPB_LY

TRPB_LY_PCT_CHG

Total Revenue Per Booking % Change LY

(BSDF.TRPB_LY_CHG / BSDF.TRPB_LY) * 100

TRPP

Total Revenue Per PAX

BSDF.TRVN / BSDF.PXCNT

TRPP_LY

Total Revenue Per PAX LY

BSDF.TRVN_LY / BSDF.PXCNT_LY

TRPP_LY_CHG

Total Revenue Per PAX Change LY

BSDF.TRPP - BSDF.TRPP_LY

TRPP_LY_PCT_CHG

Total Revenue Per PAX % Change LY

(BSDF.TRPP_LY_CHG / BSDF.TRPP_LY) * 100

TRVN_LP

Total Revenue LP

LAG(BSDF.TRVN, 1) OVER HIERARCHY ("TIME".HTIME)

TRVN_LP_PCT_CHG

Total Revenue % Change LP

LAG_VARIANCE_PERCENT(BSDF.TRVN, 1) OVER HIERARCHY ("TIME".HTIME)

TRVN_LY

Total Revenue LY

LAG(BSDF.TRVN, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TRVN_LY_CHG

Total Revenue Change LY

LAG_VARIANCE(BSDF.TRVN, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TRVN_LY_PCT_CHG

Total Revenue % Change LY

LAG_VARIANCE_PERCENT(BSDF.TRVN, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TRVN_RNK_BKOFC

Total Revenue Rank of Booking Office Parent

RANK() OVER HIERARCHY (BKOFC.HBKOFC ORDER BY BSDF.TRVN DESC NULLS LAST WITHIN PARENT)

TRVN_RNK_RUT

Total Revenue Rank of Route Parent

RANK() OVER HIERARCHY (ROUTE.HROUTE ORDER BY BSDF.TRVN DESC NULLS LAST WITHIN PARENT)

TRVN_YTD

Total Revenue YTD

SUM(BSDF.TRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TRVN_YTD_LY

Total Revenue YTD LY

LAG(BSDF.TRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TRVN_YTD_LYP_CHG

Total Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.TRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TXS_LP

Taxes LP

LAG(BSDF.TXS, 1) OVER HIERARCHY ("TIME".HTIME)

TXS_LY

Taxes LY

LAG(BSDF.TXS, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TXS_LY_CHG

Taxes Change LY

LAG_VARIANCE(BSDF.TXS, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TXS_LY_PCT_CHG

Taxes % Change LY

LAG_VARIANCE_PERCENT(BSDF.TXS, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TXS_YTD

Taxes YTD

SUM(BSDF.TXS) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TXS_YTD_LY

Taxes YTD LY

LAG(BSDF.TXS_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TXS_YTD_LYP_CHG

Taxes YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.TXS_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

WTLST_LP

Waitlist LP

LAG(BSDF.WTLST, 1) OVER HIERARCHY ("TIME".HTIME)

WTLST_LY

Waitlist LY

LAG(BSDF.WTLST, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

WTLST_LY_CHG

Waitlist Change LY

LAG_VARIANCE(BSDF.WTLST, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

WTLST_LY_PCT_CHG

Waitlist % Change LY

LAG_VARIANCE_PERCENT(BSDF.WTLST, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

WTLST_YTD

Wait Listed Count YTD

SUM(BSDF.WTLST) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

WTLST_YTD_LY

Wait Listed Count YTD LY

LAG(BSDF.WTLST_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

WTLST_YTD_LYP_CHG

Wait Listed Count YTD % Change LY

LAG_VARIANCE_PERCENT(BSDF.WTLST_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

Booking Segment Departure Fact Forecast Cube: BSDF_F

Contains the summarized booking segment departure fact forecast information.

Physical Name: BSDF_F

Dimensions and Load Level

Table 8-6 briefly describes the Dimensions and Load Level.

Table 8-6 Booking Segment Departure Fact Forecast Cube Dimensions and Load Level

Dimensions
Load Level

TIME

DAY

BKCLS

BKCLS

ROUTE

ROUTE

OPFLT

OPFLT

OPSMT

OPSMT

BKOFC

AGNT

Aggregation Order/Operator

Table 8-7 briefly describes the Aggregation Operator and Order

Table 8-7 Booking Segment Departure Fact Forecast Aggregation Operator and Order

Dimension Name
Operator
Order

TIME

sum

1

BKCLS

sum

2

BKOFC

sum

3

OPFLT

sum

4

OPSMT

sum

5

ROUTE

sum

6

Base Measures

Table 8-8 briefly describes the Base Measures

Table 8-8 Booking Segment Departure Fact Forecast Base Measures

Physical Name
Logical Name
Physical Column

BKD_F

Booked Forecast

Booked Forecast

GBKD_F

Group Booked Forecast

Group Booked Forecast

IBKD_F

Individual Booked Forecast

Individual Booked Forecast

PXCNT_F

Passenger Count Forecast

Passenger Count Forecast

TRVN_F

Total Revenue Forecast

Total Revenue Forecast

Derived Measures

Table 8-9 briefly describes the Derived Measures.

Table 8-9 Booking Segment Departure Fact Forecast Derived Measures

Physical Name
Logical Name
Definition

Call Center Performance Fact Cube: CCPF

Contains the summarized call center performance information.

Physical Name: CCPF

Dimensions and Load Level

Table 8-10 briefly describes the Dimensions and Load Level.

Table 8-10 Call Center Performance Cube Dimensions and Load Level

Dimensions
Load Level

TIME

DAY

BKOFC

AGNT

Aggregation Order/Operator

Table 8-11 briefly describes the Aggregation Operator and Order

Table 8-11 Call Center Performance Fact Aggregation Operator and Order

Dimension Name
Operator
Order

TIME

sum

1

BKOFC

sum

2

Base Measures

Table 8-12 briefly describes the Base Measures

Table 8-12 Call Center Performance Fact Base Measures

Physical Name
Logical Name
Physical Column
Description

CCNT

Total number of call

DWA_DLY_CC_PRFM.CALL_CNT

Total number of call

ACCNT

Total number of accessible call

DWA_DLY_CC_PRFM.ACSBL_CNT

Total number of accessible call

STCNT

Total number of satisfy call

DWA_DLY_CC_PRFM.STFY_CNT

Total number of satisfy call

CMIN

Total minute of call duration

DWA_DLY_CC_PRFM.MIN_AMT

Total minute of call duration

AGCNT

Working agent count

DWA_DLY_CC_PRFM.AGNT_CNT

Working agent count

Derived Measures

Table 8-13 briefly describes the Derived Measures

Table 8-13 Call Center Performance Fact Cube Derived Measures

Physical Name
Logical Name
Definition

ACCNT_LP

Total Number of Accessible Call LP

LAG(CCPF.ACCNT, 1) OVER HIERARCHY ("TIME".HTIME)

ACCNT_LP_PCT_CHG

Total Number of Accessible Call % Change LP

LAG_VARIANCE_PERCENT(CCPF.ACCNT, 1) OVER HIERARCHY ("TIME".HTIME)

ACCNT_YTD

Total Number of Accessible Call YTD

SUM(CCPF.ACCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

ACCNT_YTD_LY

Total Number of Accessible Call YTD LY

LAG(CCPF.ACCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

ACCNT_YTD_LYP_CHG

Total Number of Accessible Call YTD % Change LY

LAG_VARIANCE_PERCENT(CCPF.ACCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

AGCNT_LP

Working Agent Count LP

LAG(CCPF.AGCNT, 1) OVER HIERARCHY ("TIME".HTIME)

AGCNT_LP_PCT_CHG

Working Agent Count % Change LP

LAG_VARIANCE_PERCENT(CCPF.AGCNT, 1) OVER HIERARCHY ("TIME".HTIME)

AGCNT_YTD

Working Agent Count YTD

SUM(CCPF.AGCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

AGCNT_YTD_LY

Working Agent Count YTD LY

LAG(CCPF.AGCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

AGCNT_YTD_LYP_CH

Working Agent Count YTD % Change LY

LAG_VARIANCE_PERCENT(CCPF.AGCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CCNT_LP

Total Number of Call LP

LAG(CCPF.CCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CCNT_LP_PCT_CHG

Total Number of Call % Change LP

LAG_VARIANCE_PERCENT(CCPF.CCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CCNT_YTD

Total Number of Call YTD

SUM(CCPF.CCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CCNT_YTD_LY

Total Number of Call YTD LY

LAG(CCPF.CCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CCNT_YTD_LYP_CHG

Total Number of Call YTD % Change LY

LAG_VARIANCE_PERCENT(CCPF.CCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CMIN_LP

Total Minute of Call Duration LP

LAG(CCPF.CMIN, 1) OVER HIERARCHY ("TIME".HTIME)

CMIN_LP_PCT_CHG

Total Minute of Call Duration % Change LP

LAG_VARIANCE_PERCENT(CCPF.CMIN, 1) OVER HIERARCHY ("TIME".HTIME)

CMIN_YTD

Total Minute of Call Duration YTD

SUM(CCPF.CMIN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CMIN_YTD_LY

Total Minute of Call Duration YTD LY

LAG(CCPF.CMIN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CMIN_YTD_LYP_CHG

Total Minute of Call Duration YTD % Change LY

LAG_VARIANCE_PERCENT(CCPF.CMIN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

STCNT_LP

Total Number of Satisfy Call LP

LAG(CCPF.STCNT, 1) OVER HIERARCHY ("TIME".HTIME)

STCNT_LP_PCT_CHG

Total Number of Satisfy Call % Change LP

LAG_VARIANCE_PERCENT(CCPF.STCNT, 1) OVER HIERARCHY ("TIME".HTIME)

STCNT_YTD

Total Number of Satisfy Call YTD

SUM(CCPF.STCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

STCNT_YTD_LY

Total Number of Satisfy Call YTD LY

LAG(CCPF.STCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

STCNT_YTD_LYP_CHG

Total Number of Satisfy Call YTD % Change LY

LAG_VARIANCE_PERCENT(CCPF.STCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

Customer Survey Daily Fact Cube: CSDF

Contains the summarized customer survey daily information.

Physical Name: CSDF

Dimensions and Load Level

Table 8-14 briefly describes the Dimensions and Load Level.

Table 8-14 Customer Survey Daily Fact Cube Dimensions and Load Level

Dimensions
Load Level

TIME

DAY

IRSN

IRSN

SRV

SRVC

Aggregation Order/Operator

Table 8-15 briefly describes the Aggregation Operator and Order.

Table 8-15 Customer Survey Daily Fact Cube Aggregation Operator and Order

Dimension Name
Operator
Order

TIME

SUM

1

IRSN

SUM

2

SRVC

SUM

3

Base Measures

Table 8-16 briefly describes the Base Measures.

Table 8-16 Customer Survey Daily Fact Cube Base Measures

Physical Name
Logical Name
Physical Column
Description

STFC

Satisfy Count

DWA_DLY_CUST_SURVEY.STFY_CNT

Satisfy Count

TSRC

Total Survey Count

DWA_DLY_CUST_SURVEY.TOT_SURVEY_CNT

Total Survey Count

Derived Measures

Table 8-17 briefly describes the Derived Measures.

Table 8-17 Customer Survey Daily Fact Cube Derived Measures

Physical Name
Logical Name
Definition

STFC_LP

Satisfy Count LP

LAG(CSDF.STFC, 1) OVER HIERARCHY ("TIME".HTIME)

STFC_LP_PCT_CHG

Satisfy Count % Change LP

LAG_VARIANCE_PERCENT(CSDF.STFC, 1) OVER HIERARCHY ("TIME".HTIME)

STFC_YTD

Satisfy Count YTD

SUM(CSDF.STFC) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

STFC_YTD_LY

Satisfy Count YTD LY

LAG(CSDF.STFC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

STFC_YTD_LYP_CHG

Satisfy Count YTD % Change LY

LAG_VARIANCE_PERCENT(CSDF.STFC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TSRC_LP

Total Survey Count LP

LAG(CSDF.TSRC, 1) OVER HIERARCHY ("TIME".HTIME)

TSRC_LP_PCT_CHG

Total Survey Count % Change LP

LAG_VARIANCE_PERCENT(CSDF.TSRC, 1) OVER HIERARCHY ("TIME".HTIME)

TSRC_YTD

Total Survey Count YTD

SUM(CSDF.TSRC) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TSRC_YTD_LY

Total Survey Count YTD LY

LAG(CSDF.TSRC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TSRC_YTD_LYP_CHG

Total Survey Count YTD % Change LY

LAG_VARIANCE_PERCENT(CSDF.TSRC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

Flight Detail Daily Fact Cube: FDDF

Contains the summarized flight detail daily information.

Physical Name: FDDF

Dimensions and Load Level

Table 8-18 briefly describes the Dimensions and Load Level.

Table 8-18 Flight Detail Daily Cube Dimensions and Load Level

Dimensions
Load Level

TIME

DAY

OPSMT

OPSMT

OPFLT

OPFLT

Aggregation Order/Operator

Table 8-19 briefly describes the Aggregation Operator and Order.

Table 8-19 Flight Detail Daily Cube Aggregation Operator and Order

Dimension Name
Operator
Order

TIME

SUM

1

OPSMT

SUM

2

OPFLT

SUM

3

Base Measures

Table 8-20 briefly describes the Base Measures.

Table 8-20 Flight Detail Daily Cube Base Measures

Physical Name
Logical Name
Physical Column
Description

SBCP

Saleable Total Capacity

DWA_DLY_FLT_DETLS.SALEBLE_TOT_CPCTY

Total number of saleable seat

DTFL

Distance Flown

DWA_DLY_FLT_DETLS.NAUTICAL_MLS

The distance flown between the origin and destination

Derived Measures

Table 8-21 briefly describes the Derived Measures.

Table 8-21 Flight Detail Daily Cube Derived Measures

Physical Name
Logical Name
Definition

DTFL_LP

Distance Flown LP

LAG(FDDF.DTFL, 1) OVER HIERARCHY ("TIME".HTIME)

PASK

Passenger Available Seat Kilometer

FDDF.DTFL * FDDF.SBCP

PASK_LP

Passenger Available Seat Kilometer LP

FDDF.DTFL_LP * FDDF.SBCP_LP

SBCP_LP

Saleable Total Capacity LP

LAG(FDDF.SBCP, 1) OVER HIERARCHY ("TIME".HTIME)

Loyalty Account Fact Cube: LYAF

Contains the summarized loyalty account information.

Physical Name: LYAF

Dimensions and Load Level

Table 8-22 briefly describes the Dimensions and Load Level.

Table 8-22 Loyalty Account Fact Cube Dimensions and Load Level

Dimensions
Load Level

TIME

DAY

GEO

CITY

LOYLV

LOYLY

Aggregation Order/Operator

Table 8-23 briefly describes the Aggregation Operator and Order.

Table 8-23 Loyalty Account Fact Cube Aggregation Operator and Order

Dimension Name
Operator
Order

TIME

SUM

1

GEO

SUM

2

LOYLV

SUM

3

Base Measures

Table 8-24 briefly describes the Base Measures.

Table 8-24 Loyalty Account Fact Cube Base Measures

Physical Name
Logical Name
Physical Column
Description

LYCNT

Loyalty Account Count

DWA_DLY_LYLTY_ACCT.LYLTY_ACCT_CNT

Loyalty Account Count

UGCNT

Upgrade Count

DWA_DLY_LYLTY_ACCT.UGRD_CNT

Upgrade Count

DGCNT

Downgrade Count

DWA_DLY_LYLTY_ACCT.DGRD_CNT

Downgrade Count

ATCNT

Active Account Count

DWA_DLY_LYLTY_ACCT.ACTV_CNT

Active Account Count

TAML

The Total Mils Amount in Accounts

DWA_DLY_LYLTY_ACCT.TOT_MILES_AMT

The Total Mils Amount in Accounts

TMED

The Total Mils Amount Earned in Accounts

DWA_DLY_LYLTY_ACCT.MILES_ERND_AMT

The Total Mils Amount Earned in Accounts

TMRD

The Total Mils Amount Redeemed in Accounts

DWA_DLY_LYLTY_ACCT.MILES_RDMD_AMT

The Total Mils Amount Redeemed in Accounts

Derived Measures

Table 8-25 briefly describes the Derived Measures.

Table 8-25 Loyalty Account Fact Cube Derived Measures

Physical Name
Logical Name
Definition

ATCNT_LP

Active Account Count LP

LAG(LYAF.ATCNT, 1) OVER HIERARCHY ("TIME".HTIME)

ATCNT_LP_PCT_CHG

Active Account Count % Change LP

LAG_VARIANCE_PERCENT(LYAF.ATCNT, 1) OVER HIERARCHY ("TIME".HTIME)

ATCNT_YTD

Active Account Count YTD

SUM(LYAF.ATCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

ATCNT_YTD_LY

Active Account Count YTD LY

LAG(LYAF.ATCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

ATCNT_YTD_LYP_CHG

Active Account Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYAF.ATCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

DGCNT_LP

Downgrade Count LP

LAG(LYAF.DGCNT, 1) OVER HIERARCHY ("TIME".HTIME)

DGCNT_LP_PCT_CHG

Downgrade Count % Change LP

LAG_VARIANCE_PERCENT(LYAF.DGCNT, 1) OVER HIERARCHY ("TIME".HTIME)

DGCNT_YTD

Downgrade Count YTD

SUM(LYAF.DGCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

DGCNT_YTD_LY

Downgrade Count YTD LY

LAG(LYAF.DGCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

DGCNT_YTD_LYP_CHG

Downgrade Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYAF.DGCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

LYCNT_LP

Loyalty Account Count LP

LAG(LYAF.LYCNT, 1) OVER HIERARCHY ("TIME".HTIME)

LYCNT_LP_PCT_CHG

Loyalty Account Count % Change LP

LAG_VARIANCE_PERCENT(LYAF.LYCNT, 1) OVER HIERARCHY ("TIME".HTIME)

LYCNT_YTD

Loyalty Account Count YTD

SUM(LYAF.LYCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

LYCNT_YTD_LY

Loyalty Account Count YTD LY

LAG(LYAF.LYCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

LYCNT_YTD_LYP_CHG

Loyalty Account Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYAF.LYCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TAML_LP

The Total Mils Amount in Accounts LP

LAG(LYAF.TAML, 1) OVER HIERARCHY ("TIME".HTIME)

TAML_LP_PCT_CHG

The Total Mils Amount in Accounts % Change LP

LAG_VARIANCE_PERCENT(LYAF.TAML, 1) OVER HIERARCHY ("TIME".HTIME)

TAML_YTD

The Total Mils Amount in Accounts YTD

SUM(LYAF.TAML) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TAML_YTD_LY

The Total Mils Amount in Accounts YTD LY

LAG(LYAF.TAML_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TAML_YTD_LYP_CHG

The Total Mils Amount in Accounts YTD % Change LY

LAG_VARIANCE_PERCENT(LYAF.TAML_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TMED_LP

The Total Mils Amount Earned in Accounts LP

LAG(LYAF.TMED, 1) OVER HIERARCHY ("TIME".HTIME)

TMED_LP_PCT_CHG

The Total Mils Amount Earned in Accounts % Change LP

LAG_VARIANCE_PERCENT(LYAF.TMED, 1) OVER HIERARCHY ("TIME".HTIME)

TMED_YTD

The Total Mils Amount Earned in Accounts YTD

SUM(LYAF.TMED) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TMED_YTD_LY

The Total Mils Amount Earned in Accounts YTD LY

LAG(LYAF.TMED_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TMED_YTD_LYP_CHG

The Total Mils Amount Earned in Accounts YTD % Change LY

LAG_VARIANCE_PERCENT(LYAF.TMED_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TMRD_LP

The Total Mils Amount Redeemed in Accounts LP

LAG(LYAF.TMRD, 1) OVER HIERARCHY ("TIME".HTIME)

TMRD_LP_PCT_CHG

The Total Mils Amount Redeemed in Accounts % Change LP

LAG_VARIANCE_PERCENT(LYAF.TMRD, 1) OVER HIERARCHY ("TIME".HTIME)

TMRD_YTD

The Total Mils Amount Redeemed in Accounts YTD

SUM(LYAF.TMRD) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TMRD_YTD_LY

The Total Mils Amount Redeemed in Accounts YTD LY

LAG(LYAF.TMRD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TMRD_YTD_LYP_CHG

The Total Mils Amount Redeemed in Accounts YTD % Change LY

LAG_VARIANCE_PERCENT(LYAF.TMRD_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

UGCNT_LP

Upgrade Count LP

LAG(LYAF.UGCNT, 1) OVER HIERARCHY ("TIME".HTIME)

UGCNT_LP_PCT_CHG

Upgrade Count % Change LP

LAG_VARIANCE_PERCENT(LYAF.UGCNT, 1) OVER HIERARCHY ("TIME".HTIME)

UGCNT_YTD

Upgrade Count YTD

SUM(LYAF.UGCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

UGCNT_YTD_LY

Upgrade Count YTD LY

LAG(LYAF.UGCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

UGCNT_YTD_LYP_CHG

Upgrade Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYAF.UGCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

Loyalty Booking Fact Cube: LYBF

Contains the summarized loyalty account booking information.

Physical Name: LYBF

Dimensions and Load Level

Table 8-26 briefly describes the Dimensions and Load Level.

Table 8-26 Loyalty Booking Fact Cube Dimensions and Load Level

Dimensions
Load Level

TIME

DAY

LOYLV

LOYLY

BKOFC

AGNT

Aggregation Order/Operator

Table 8-27 briefly describes the Aggregation Operator and Order.

Table 8-27 Loyalty Booking Fact Cube Aggregation Operator and Order

Dimension Name
Operator
Order

TIME

SUM

1

LOYLV

SUM

2

BKOFC

SUM

3

Base Measures

Table 8-28 briefly describes the Base Measures.

Table 8-28 Loyalty Booking Fact Cube Base Measures

Physical Name
Logical Name
Physical Column
Description

LACNT

Loyalty Account Count

DWA_DLY_LA_BKG.LYLTY_ACCT_CNT

Loyalty Account Count

ACCNT

Active Account Count

DWA_DLY_LA_BKG.ACTV_CNT

Active Account Count

PCNT

Passenger Count

DWA_DLY_LA_BKG.PAX_CNT

Passenger Count

BKCNT

Booked Count

DWA_DLY_LA_BKG.BKD

Booked Count

CFCNT

The Confirmed Booking Count

DWA_DLY_LA_BKG.CONFMD_CNT

The Confirmed Booking Count

CLCNT

The Cancelled Booking Count

DWA_DLY_LA_BKG.CNCLD_CNT

The Cancelled Booking Count

FPCNT

The Flown Passenger Count

DWA_DLY_LA_BKG.FLN_PAX_CNT

The Flown Passenger Count

FRAC

The Flown Revenue Contributed by Active Account

DWA_DLY_LA_BKG.FLN_REV_BY_ACTV

The Flown Revenue Contributed by Active Account

FLRVN

The Flown Revenue

DWA_DLY_LA_BKG.FLN_REV

The Flown Revenue

FTCNT

The Flight Count

DWA_DLY_LA_BKG.FLT_CNT

The Flight Count

TKAMT

Ticket Amount

DWA_DLY_LA_BKG.TKT_AMT

Ticket Amount

Derived Measures

Table 8-29 briefly describes the Derived Measures.

Table 8-29 Loyalty Booking Fact Cube Derived Measures

Physical Name
Logical Name
Definition

ACCNT_LP

Active Account Count LP

LAG(LYBF.ACCNT, 1) OVER HIERARCHY ("TIME".HTIME)

ACCNT_LP_PCT_CHG

Active Account Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.ACCNT, 1) OVER HIERARCHY ("TIME".HTIME)

ACCNT_YTD

Active Account Count YTD

SUM(LYBF.ACCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

ACCNT_YTD_LY

Active Account Count YTD LY

LAG(LYBF.ACCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

ACCNT_YTD_LYP_CHG

Active Account Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.ACCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BKCNT_LP

Booked Count LP

LAG(LYBF.BKCNT, 1) OVER HIERARCHY ("TIME".HTIME)

BKCNT_LP_PCT_CHG

Booked Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.BKCNT, 1) OVER HIERARCHY ("TIME".HTIME)

BKCNT_YTD

Booked Count YTD

SUM(LYBF.BKCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

BKCNT_YTD_LY

Booked Count YTD LY

LAG(LYBF.BKCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

BKCNT_YTD_LYP_CHG

Booked Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.BKCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CFCNT_LP

The Confirmed Booking Count LP

LAG(LYBF.CFCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CFCNT_LP_PCT_CHG

The Confirmed Booking Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.CFCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CFCNT_YTD

The Confirmed Booking Count YTD

SUM(LYBF.CFCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CFCNT_YTD_LY

The Confirmed Booking Count YTD LY

LAG(LYBF.CFCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CFCNT_YTD_LYP_CHG

The Confirmed Booking Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.CFCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLCNT_LP

The Cancelled Booking Count LP

LAG(LYBF.CLCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CLCNT_LP_PCT_CHG

The Cancelled Booking Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.CLCNT, 1) OVER HIERARCHY ("TIME".HTIME)

CLCNT_YTD

The Cancelled Booking Count YTD

SUM(LYBF.CLCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

CLCNT_YTD_LY

The Cancelled Booking Count YTD LY

LAG(LYBF.CLCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

CLCNT_YTD_LYP_CHG

The Cancelled Booking Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.CLCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FLRVN_LP

The Flown Revenue LP

LAG(LYBF.FLRVN, 1) OVER HIERARCHY ("TIME".HTIME)

FLRVN_LP_PCT_CHG

The Flown Revenue % Change LP

LAG_VARIANCE_PERCENT(LYBF.FLRVN, 1) OVER HIERARCHY ("TIME".HTIME)

FLRVN_YTD

The Flown Revenue YTD

SUM(LYBF.FLRVN) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

FLRVN_YTD_LY

The Flown Revenue YTD LY

LAG(LYBF.FLRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FLRVN_YTD_LYP_CHG

The Flown Revenue YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.FLRVN_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FPCNT_LP

The Flown Passenger Count LP

LAG(LYBF.FPCNT, 1) OVER HIERARCHY ("TIME".HTIME)

FPCNT_LP_PCT_CHG

The Flown Passenger Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.FPCNT, 1) OVER HIERARCHY ("TIME".HTIME)

FPCNT_YTD

The Flown Passenger Count YTD

SUM(LYBF.FPCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

FPCNT_YTD_LY

The Flown Passenger Count YTD LY

LAG(LYBF.FPCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FPCNT_YTD_LYP_CHG

The Flown Passenger Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.FPCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FRAC_LP

The Flown Revenue Contributed by Active Account LP

LAG(LYBF.FRAC, 1) OVER HIERARCHY ("TIME".HTIME)

FRAC_LP_PCT_CHG

The Flown Revenue Contributed by Active Account % Change LP

LAG_VARIANCE_PERCENT(LYBF.FRAC, 1) OVER HIERARCHY ("TIME".HTIME)

FRAC_YTD

The Flown Revenue Contributed by Active Account YTD

SUM(LYBF.FRAC) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

FRAC_YTD_LY

The Flown Revenue Contributed by Active Account YTD LY

LAG(LYBF.FRAC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FRAC_YTD_LYP_CHG

The Flown Revenue Contributed by Active Account YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.FRAC_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FTCNT_LP

The Flight Count LP

LAG(LYBF.FTCNT, 1) OVER HIERARCHY ("TIME".HTIME)

FTCNT_LP_PCT_CHG

The Flight Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.FTCNT, 1) OVER HIERARCHY ("TIME".HTIME)

FTCNT_YTD

The Flight Count YTD

SUM(LYBF.FTCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

FTCNT_YTD_LY

The Flight Count YTD LY

LAG(LYBF.FTCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

FTCNT_YTD_LYP_CHG

The Flight Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.FTCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

LACNT_LP

Loyalty Account Count LP

LAG(LYBF.LACNT, 1) OVER HIERARCHY ("TIME".HTIME)

LACNT_LP_PCT_CHG

Loyalty Account Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.LACNT, 1) OVER HIERARCHY ("TIME".HTIME)

LACNT_YTD

Loyalty Account Count YTD

SUM(LYBF.LACNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

LACNT_YTD_LY

Loyalty Account Count YTD LY

LAG(LYBF.LACNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

LACNT_YTD_LYP_CHG

Loyalty Account Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.LACNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

PCNT_LP

Passenger Count LP

LAG(LYBF.PCNT, 1) OVER HIERARCHY ("TIME".HTIME)

PCNT_LP_PCT_CHG

Passenger Count % Change LP

LAG_VARIANCE_PERCENT(LYBF.PCNT, 1) OVER HIERARCHY ("TIME".HTIME)

PCNT_YTD

Passenger Count YTD

SUM(LYBF.PCNT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

PCNT_YTD_LY

Passenger Count YTD LY

LAG(LYBF.PCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

PCNT_YTD_LYP_CHG

Passenger Count YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.PCNT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TKAMT_LP

Ticket Amount LP

LAG(LYBF.TKAMT, 1) OVER HIERARCHY ("TIME".HTIME)

TKAMT_LP_PCT_CHG

Ticket Amount % Change LP

LAG_VARIANCE_PERCENT(LYBF.TKAMT, 1) OVER HIERARCHY ("TIME".HTIME)

TKAMT_YTD

Ticket Amount YTD

SUM(LYBF.TKAMT) OVER HIERARCHY ("TIME".HTIME BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT LEVEL "TIME"."YEAR")

TKAMT_YTD_LY

Ticket Amount YTD LY

LAG(LYBF.TKAMT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

TKAMT_YTD_LYP_CHG

Ticket Amount YTD % Change LY

LAG_VARIANCE_PERCENT(LYBF.TKAMT_YTD, 1) OVER HIERARCHY ("TIME".HTIME BY ANCESTOR AT LEVEL "TIME".HTIME."YEAR" POSITION FROM BEGINNING)

9 Oracle Airlines Data Model Data Mining Models

This chapter provides reference information about the data mining models provided with Oracle Airlines Data Model.

This chapter includes the following sections:

About Data Mining in Oracle Airlines Data Model

Oracle Airlines Data Model Mining Result Tables

Model 1: Customer Segmentation Analysis

Model 2: Customer Loyalty Analysis

Model 3: Customer Life Time Value Analysis

Model 4: Frequent Flyer Passenger Prediction

About Data Mining in Oracle Airlines Data Model

Oracle Airlines Data Model mining models include mining packages, mining source tables (MV), and target tables.

The source materialized views are defined on 3NF layer tables (Base, Reference) and analytical layer tables (Derived, Reference) of Oracle Airlines Data Model. The procedures in mining package pull data from source tables to train mining models. The trained mining models are applied on apply tables (MV), which are also defined on 3NF and analytical layer tables. The data in source tables and apply tables is differed by time. The target tables contain mining results data, which could be rules derived from trained models and also results of applying trained model on apply data.

Note:

Oracle Airlines Data Model does not support modified or new data models. Consequently, do not change the data models that are defined and delivered with Oracle Airlines Data Model, but, instead, to create a data model copy a delivered data model.

As shown in Table 9-2, the Oracle Airlines Data Model mining models use the specified algorithms for specific problem types.

Table 9-1 Oracle Airlines Data Model Algorithm Types Used by Model

Model
Problem Type
Algorithms Used by Data Mining Model

Model 1: Customer Segmentation Analysis

Clustering

K-Means Clustering

Model 2: Customer Loyalty Analysis

Classification

Decision Tree (DT), Support Vector Machine (SVM)

Model 3: Customer Life Time Value Analysis

Classification & Regression

Decision Tree (DT), Generalized Linear Model Regression (GLMR)

Model 4: Frequent Flyer Passenger Prediction

Classification

Decision Tree (DT), Support Vector Machine (SVM)

Understanding the Oracle Airlines Data Model Data Mining Architecture

Oracle Airlines Data Model consists of one schema, oadm_sys. Table 9-1shows how mining source tables (MV) are mapped and how mining packages function.

The oadm_sys schema includes the following:

OADM main model: This includes all base, reference, lookup, derived, and aggregate tables.

Mining Model Package (pkg_oadm_mining): Given data in mining source tables and apply tables, the mining package trains models using source tables, generates mined rules, and applies trained models on apply data and generate predicted results.

Mining Model Source and Apply Tables: Materialized views are defined on OADM main model tables (base and reference of 3NF layer, derived and reference of Analytical layer).

Mining Support Tables: The mining support tables are intermediate tables, which are used by mining package while training mining models. The names of these support tables have a prefix "DM".

Mining Result Tables: Mining result tables save mined rules from trained models. These tables also save the results of applying trained models on apply data.

For more information about the Oracle Mining training and Scoring (applying) process, see Oracle Data Mining Concepts.

Figure 9-1 Oracle Airlines Data Model Mining Package Overview

Description of Figure 9-1 follows
Description of "Figure 9-1 Oracle Airlines Data Model Mining Package Overview"

Using the Mining Model Refresh Procedure

Overtime, customer information and customer behavior may change. Therefore, you may want to refresh trained mining models using latest customer data and usage data. By refresh training mining model, we mean that re-training mining model on latest data. Re-trained mining model and older trained model are tested on latest source data and best one of them is picked. The mining model refresh process is divided into three tasks:

Data Preparation: Load and transform the data into a format, which is understood by mining algorithms. Also, user needs to prepare two sets of data, each corresponding to one of next two tasks:

Training Data

Scoring (Apply) Data

Training: Recent data of customers is used as training data and an algorithm is used to train a model on chosen training data.

Scoring (Apply): Most recent data of customer is used as scoring data and trained mining model is applied on chosen scoring data to predict target variable for supervised problems and to predict groupings/rules for unsupervised problems.

To refresh all mining models based on latest customer and non frequent flyer data, call the procedure pkg_oadm_mining.refresh_model. This procedure performs following tasks for each model:

Refreshes all source materialized views based on latest data from 3NF and Analytical layers tables.

Trains each model again using the new training data. Applies newly trained mining model and older main mining model on new training data to check which model performs better. The best one of two models is picked as main mining model.

Applies each main model on latest apply data.

The errors occurred during mining model refresh are saved into a control table, dwc_intra_etl_activity.

About Data Mining in Oracle Airlines Data Model

Table 9-2 Oracle Airlines Data Model Algorithm Types Used by Model

Model
Problem Type
Algorithms Used by Data Mining Model

Model 1: Customer Segmentation Analysis

Clustering

K-Means Clustering

Model 2: Customer Loyalty Analysis

Classification

Decision Tree (DT), Support Vector Machine (SVM)

Model 3: Customer Life Time Value Analysis

Classification & Regression

Decision Tree (DT), Generalized Linear Model Regression (GLMR)

Model 4: Frequent Flyer Passenger Prediction

Classification

Decision Tree (DT), Support Vector Machine (SVM)

Oracle Airlines Data Model Mining Result Tables

Table 9-3 shows the dwd_cust_mnng data mining result table.

Table 9-3 dwd_cust_mnng Data Mining Result Table

Column Name
Data Type
Description

MO_CD

VARCHAR2(30)

month code, when model was trained

FF_CARD_KEY

NUMBER(38)

frequent flyer card key, to uniquely identify frequent flyer passengers

CUST_SGMNT_CD

VARCHAR2(30)

Customer segment code

CUST_LYLTY_DT_PRED

VARCHAR2(30)

Customer loyalty prediction using decision tree

CUST_LYLTY_DT_ND_NBR

VARCHAR2(30)

Customer loyalty prediction node number in tree using decision tree

CUST_LYLTY_SVM_PRED

VARCHAR2(30)

Customer loyalty prediction using support vector machine

CUST_LYLTY_SVM_PROB

NUMBER(10,8)

Customer loyalty prediction probability using support vector machine

LTV_BAND_CD

VARCHAR2(30)

Life time value band code

LTV_VALUE

NUMBER(16,2)

Life time value, it is a continuous value

LT_SRVVL_CD

VARCHAR2(30)

Life time survival value code

LT_SRVVL_VALUE

NUMBER(16,2)

Life time survival value, it is a continuous value

Table 9-4 shows the dwr_cust_sgmnt result table.

Table 9-4 dwr_cust_sgmnt Data Mining Result Table

Name
Type
Description

CUST_SGMNT_KEY

NUMBER(30)

Customer segmentation key, generated by a sequence

CUST_SGMNT_CD

VARCHAR2(30)

Customer segmentation code

CUST_SGMNT_NAME

VARCHAR2(50)

Customer segmentation name

CUST_SGMNT_DESC

VARCHAR2(50)

Customer segmentation description

CUST_SGMNT_PROFILE

VARCHAR2(4000)

Customer segmentation profile, formed by mean & mode values of all attributes of customers in a segment

SGMNT_DISPRSN

NUMBER(10,4)

Segment dispersion, which tells how similar the customers in a segment are.

SPRTNG_REC_CNT

NUMBER(16)

Supporting record count, which is number of customers in a segment

TREE_LVL

NUMBER(4)

Level of tree in hierarchical k-means clustering.

IS_LEAF_IND

CHAR(1)

Leaf level indicator

Table 9-5 shows the dwd_cust_lylty_dt_rules data mining result table.

Table 9-5 dwd_cust_lylty_dt_rules Data Mining Result Table

Name
Type
Description

MO_CD

VARCHAR2(30)

Month code, when model was trained

ANALYSIS_NAME

VARCHAR2(100)

Name of the analysis

MODEL_NAME

VARCHAR2(100)

Mining model name

RULE_ID

NUMBER(10)

Rule identifier number

PERFORMANCE_MEASURE

VARCHAR2(100)

Target measure column name

MEASURE_VALUE

VARCHAR2(100)

Target measure value

PROFILE

VARCHAR2(1000)

Profile of customer, formed by concatenating decisions at each tree node

IS_LEAF

CHAR(10)

Leaf level indicator

PREDICTION_COUNT

NUMBER(10)

Number of customers, who fall under this node, with prediction same as prediction of the node

RECORD_COUNT

NUMBER(10)

Number of customers, who fall under this node

SUPPORT

NUMBER(10,5)

Ratio of record_count to the total number of customers

CONFIDENCE

NUMBER(10,5)

Ratio of prediction_count to record_count

RULE_DISPLAY_ORDER

NUMBER(10)

Rule display order

Table 9-6 shows the dwd_cust_lylty_svm_factor data mining result table.

Table 9-6 dwd_cust_lylty_svm_factor Data Mining Result Table

Name
Type
Description

MO_CD

VARCHAR2(30)

Month code, when model was trained

TARGET_VALUE

VARCHAR2(100)

Target measure value

ATTRIBUTE_NAME

VARCHAR2(4000)

ATTRIBUTE_SUBNAME

VARCHAR2(4000)

ATTRIBUTE_VALUE

VARCHAR2(4000)

COEFFICIENT

NUMBER

Table 9-7 shows the dwd_cust_ltv_dt_rules data mining result table.

Table 9-7 dwd_cust_ltv_dt_rules Data Mining Result Table

Name
Type
Description

MO_CD

VARCHAR2(30)

ANALYSIS_NAME

VARCHAR2(100)

Name of the analysis

MODEL_TYPE

VARCHAR2(100)

Type of mining model

MODEL_NAME

VARCHAR2(100)

Mining model name

RULE_ID

NUMBER(10)

Rule identifier number

PERFORMANCE_MEASURE

VARCHAR2(100)

Target measure column name

MEASURE_VALUE

VARCHAR2(100)

Target measure value

PROFILE

VARCHAR2(1000)

Profile of non-frequent flyer passenger, formed by concatenating decisions at each tree node

IS_LEAF

CHAR(10)

Leaf level indicator

PREDICTION_COUNT

NUMBER(10)

Number of non-frequent flyer passengers, who fall under this node, with prediction same as prediction of the node

RECORD_COUNT

NUMBER(10)

Number of non-frequent flyer passengers, who fall under this node

SUPPORT

NUMBER(10,5)

Ratio of record_count to the total number of non-frequent flyer passengers

CONFIDENCE

NUMBER(10,5)

Ratio of prediction_count to record_count

RULE_DISPLAY_ORDER

NUMBER(10)

Rule display order

Table 9-8 shows the dwd_cust_ltv_svm_factor data mining result table.

Table 9-8 dwd_cust_ltv_svm_factor Data Mining Result Table

Name
Type
Description

MO_CD

VARCHAR2(30)

Month code, when model was trained

MODEL_NAME

VARCHAR2(100)

Mining model name

TARGET_COLUMN

VARCHAR2(100)

Target measure value

TARGET_COLUMN_ABBR

VARCHAR2(30)

Target measure value abbreviation

ATTRIBUTE_NAME

VARCHAR2(4000)

Customer attribute name

ATTRIBUTE_SUBNAME

VARCHAR2(4000)

Customer attribute sub name, if any.

ATTRIBUTE_VALUE

VARCHAR2(4000)

Value of Customer attribute

COEFFICIENT

NUMBER

Attribute coefficient predicted by support vector machine algorithm

Table 9-9 shows the dwd_ffp_pred_dt_rules data mining result table.

Table 9-9 dwd_cust_lylty_svm_factor Data Mining Result Table

Name
Type
Description

MO_CD

VARCHAR2(30)

ANALYSIS_NAME

VARCHAR2(100)

Name of the analysis

MODEL_TYPE

VARCHAR2(100)

Type of mining model

MODEL_NAME

VARCHAR2(100)

Mining model name

RULE_ID

NUMBER(10)

Rule identifier number

PERFORMANCE_MEASURE

VARCHAR2(100)

Target measure column name

MEASURE_VALUE

VARCHAR2(100)

Target measure value

PROFILE

VARCHAR2(1000)

Profile of non-frequent flyer passenger, formed by concatenating decisions at each tree node

IS_LEAF

CHAR(10)

Leaf level indicator

PREDICTION_COUNT

NUMBER(10)

Number of non-frequent flyer passengers, who fall under this node, with prediction same as prediction of the node

RECORD_COUNT

NUMBER(10)

Number of non-frequent flyer passengers, who fall under this node

SUPPORT

NUMBER(10,5)

Ratio of record_count to the total number of non-frequent flyer passengers

CONFIDENCE

NUMBER(10,5)

Ratio of prediction_count to record_count

RULE_DISPLAY_ORDER

NUMBER(10)

Rule display order

Table 9-10 shows the dwd_ffp_pred_svm_factor data mining result table.

Table 9-10 dwd_ffp_pred_svm_factor Data Mining Result Table

Name
Type
Description

MO_CD

VARCHAR2(30)

Month code, when model was trained

ATTRIBUTE_NAME

VARCHAR2(4000)

non-frequent flyer passenger attribute name

ATTRIBUTE_SUBNAME

VARCHAR2(4000)

non-frequent flyer passenger attribute sub name, if any.

ATTRIBUTE_VALUE

VARCHAR2(4000)

Value of non-frequent flyer passenger attribute

COEFFICIENT

NUMBER

Attribute coefficient predicted by support vector machine algorithm

Table 9-11 shows the dwd_non_ffp_mnng data mining result table.

Table 9-11 dwd_non_ffp_mnng Data Mining Result Table

Name
Type
Description

MO_CD

VARCHAR2(30)

Month code, when model was trained

TRVL_DOC_NBR

VARCHAR2(30)

Travel document number, which is to be shown by passengers for identification

FST_NM

VARCHAR2(40)

non-frequent flyer passenger first name

LAST_NM

VARCHAR2(40)

non-frequent flyer passenger last name

FFP_DT_PRED

VARCHAR2(10)

Prediction of "would be frequent flyer passengers" among non-frequent flyer passenger using decision tree

FFP_DT_ND_NBR

VARCHAR2(30)

Node number of prediction in decision tree

FFP_SVM_PRED

VARCHAR2(10)

Prediction of "would be frequent flyer passengers" among non-frequent flyer passenger using Support vector machine

FFP_SVM_PROB

NUMBER(10,8)

Prediction probability of "would be frequent flyer passengers" among non-frequent flyer passenger using support vector machine

Model 1: Customer Segmentation Analysis

The business problem is to group customers into generally homogeneous groups based on customer demographics, flown history, and so on. Business Analysts can look into each segment to further understand the customer group discovered by the model and name each segment.

The customers are clustered using Clustering algorithm - K-Means. The discovered clustering rules draw the profile of customers.

Customer Segmentation Source

The following table shows the columns identified from the 3NF layer (Base, Reference) and analytical layer (Derived, Reference) of data warehouse as source for K-Means model.

Table 9-12 shows the Materialized View, dmv_cust_profile_src, columns identified as input source variables for the model.

Table 9-12 Customer Segmentation Source: dmv_cust_profile_src

Column Name
Description

ff_card_key

Frequent flyer card key, a unique identifier generated by sequence

ff_nbr

Frequent flyer identification number, a business key

clndr_month_key

Calendar month key of the data collected

gndr

Gender of a frequent flyer

income_lvl

Income level of a frequent flyer

marital_sts

Marital status of a frequent flyer

edu

Education of a frequent flyer

occupation

Occupation of a frequent flyer

age

Age of a frequent flyer

card_carr

carr_cd

rqst_typ

Request type made by a frequent flyer

sts_cd

Status code

airl_mbshp_lvl

Airline member ship level of a frequent flyer

airl_prorty_cd

Frequent flyer airlines priority code

airl_tier_desc

Airline tier description

airl_cust_value

Airline customer value

alan_membr_lvl

all_airl_prorty_cd

alan_tier_desc

cert_nbr

alanc_cd

stk_cntrl_nbr

cls_bef_upgrd

Booking class of before upgrade, if there is any upgrade

miles_cr_ind

Miles indicator

city_nm

Frequent flyer city name

ctry_nm

Frequent flyer country name

cont_nm

Frequent flyer continent name

sales_chnl_id

Sales channel indicator, through which frequent flyer makes booking

tot_ernd_miles_amt

Total miles amount earned by a frequent flyer

mo_ernd_miles_amt

Miles amount earned by a frequent flyer in the "clndr_month_key"

tot_redeem_miles_amt

Total miles amount redeemed by a frequent flyer

mo_redeem_miles_amt

Miles amount redeemed by a frequent flyer in the "clndr_month_key"

tot_expired_miles_amt

Total miles amount expired of a frequent flyer

mo_expired_miles_amt

Miles amount expired of a frequent flyer in the "clndr_month_key"

tot_conf_bkgs

Total number of confirmed bookings among bookings made by a frequent flyer

mo_conf_bkgs

number of confirmed bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_grp_bkgs

Total number of group bookings among bookings made by a frequent flyer

mo_grp_bkgs

number of group bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_night_bkgs

Total number of night bookings among bookings made by a frequent flyer

mo_night_bkgs

number of night bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_dead_bkgs

Total number of dead bookings among bookings made by a frequent flyer

mo_dead_bkgs

number of dead bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_bsns_cls_bkgs

Total number of business class bookings among bookings made by a frequent flyer

mo_bsns_cls_bkgs

number of business class bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_ecnmy_cls_bkgs

Total number of economy class bookings among bookings made by a frequent flyer

mo_ecnmy_cls_bkgs

number of economy class bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_cdsh_bkgs

Total number of code share bookings among bookings made by a frequent flyer

mo_cdsh_bkgs

number of code share bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_brdng_cnt

Total number of times a frequent flyer boarded flight

mo_brdng_cnt

number of times a frequent flyer boarded flight in the "clndr_month_key"

tot_open_bkgs

Total number of open bookings among bookings made by a frequent flyer

mo_open_bkgs

number of open bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_info_bkgs

Total number of info bookings among bookings made by a frequent flyer

mo_info_bkgs

number of info bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_avg_days_btwn_bkg_dprtr

Total average days between booking made and departure of flight

mo_avg_days_btwn_bkg_dprtr

average days between booking made and departure of flight in the "clndr_month_key"

tot_bkgs_at_rdy_to_leave

Total number bookings made at ready to leave by a frequent flyer

mo_bkgs_at_rdy_to_leave

number bookings made at ready to leave by a frequent flyer in the "clndr_month_key"

tot_cpn_amt

Total coupon amount

mo_cpn_amt

Coupon amount in the "clndr_month_key"

The materialized view, dmv_cust_profile_src is derived from following tables:

dwb_lylty_acct_bal_hist_h

dwd_bkg_fact

dwm_frequent_flyer

dwm_clndr

dwm_geogry

dwc_etl_parameter

Customer Segmentation Output

The mined rules are saved into following target table:

dwr_cust_sgmnt

The scoring results are saved into following column(s) of target table, dwd_cust_mnng.

dwd_cust_mnng. cust_sgmnt_cd

Customer Segmentation Algorithm

K-Means clustering algorithm

Model 2: Customer Loyalty Analysis

The business problem is to build a profile of customers to explain impact of customers' characteristics on their loyalty to Airlines. Using Oracle Data Mining, the KPIs are modeled using two popular Classification Algorithms - Decision Tree (DT) and Support Vector Machines (SVM). This analysis identifies which key attributes of a customer influence his loyalty to Airlines. This model mines the various attributes of customers.

The output from the model is twofold:

The discovered rules provide correlation between the customer loyalty to Airlines and Customer attributes.

The prediction can be made on current base customer's data for the next month/quarter using the model built on historical data.

Target Variables

The rules are designed to be generated monthly/quarterly. Therefore, one SVM and one DT models are created every month across all customers using the following variables as targets:

Target variable for Decision Tree (DT) is:

Passenger Loyalty Code, cust_lylty_cd

Target variable for Support Vector Machines (SVM) is:

Passenger Loyalty Code, cust_lylty_cd

Customer Loyalty Source

Customer Loyalty model use dmv_cust_loyalty_src materialized view as source. This materialized has all columns from dmv_cust_profile_src materialized view along with following columns:

cust_rfmp_cd

cust_lylty_score

cust_lylty_cd

Customer Loyalty Output

The mined rules are saved into following target table(s):

dwd_cust_lylty_dt_rules

dwd_cust_lylty_svm_factor

The scoring results are saved into following column(s) of target table, dwd_cust_mnng

cust_lylty_dt_pred

cust_lylty_dt_nd_nbr

cust_lylty_svm_pred

cust_lylty_svm_prob

Customer Loyalty Algorithms

Decision Tree (DT) for classification

Support Vector Machine (SVM) for classification.

Model 3: Customer Life Time Value Analysis

The business problem is to identify/predict the customers who are likely to represent the highest value of revenue over their life time based on criteria such as customer demographic information, flown history, and service quality and so on.

This analysis identifies which key attributes of a customer influence his or her Life Time Value. Life Time Value is continuous value (total revenue contributed by the customer). The Life Time Value is converted into categorical values using standard binning operations. The categorical variables are modeled as a classification model to identify or predict the impact of various independent variables (attributes) on the dependent target variable (KPI - categorical). Using Oracle Data Mining (11g Release 2), the target variables, Categorical Life Time Value and Life Time Survival Value are modeled using classification algorithm, Decision Tree (DT).

The continuous Life Time Value and Life Time Survival Value are modeled as regression models using regression algorithm, for Generalized Linear Model Regression (GLMR).

The mining models are built every month using the customer latest data and the mining models are applied on current base customers' data to predict which customer is likely to represent the highest value of revenue over their life time.

The output from the model is two-fold:

The discovered rules to outline the profile of customers who are most likely to represent the highest value of revenue over their life time.

The prediction can be made on customer data once the model was trained.

Target Variables

The rules are designed to be generated monthly. Therefore, two GLMR and two DT models are created every month across all the customers using the following variables as targets:

Target variables for Decision Tree (DT) are:

Life Time Value Code, cust_ltv_bnd

Life Time Survival Value Code

Target variables for Generalized Linear Model Regression (GLMR) are:

Life Time Value, tot_cpn_amt

Life Time Survival Value

Customer Life Time Value Source

Customer Loyalty model use dmv_cust_ltv_src materialized view as source. This materialized has all columns from dmv_cust_profile_src materialized view along with following column(s):

cust_ltv_bnd

Customer Life Time Value Output

The mined rules are saved into following target table(s):

dwd_cust_ltv_dt_rules

dwd_cust_ltv_svm_factor

The scoring results are saved into following column(s) of target table, dwd_cust_mnng

ltv_band_cd

ltv_value

lt_srvvl_cd

lt_srvvl_value

Customer Life Time Value Algorithm

Decision Tree (DT) for classification

Generalized Linear Model Regression (GLMR) for regression

Model 4: Frequent Flyer Passenger Prediction

The business problem is identify/predict the Non-FFP (Non Frequent Flyer Passengers) passengers who are likely to become FFP passenger based on their demographic attributes, flight usage, revenue per user, and so on.

This analysis also identifies which key attributes of a Non-FFP passenger are important in predicting whether Non-FFP passenger would likely to become FFP. The training data would be mix of Non-FFP passengers and FFP passengers. FFP passengers are those who became FFP from Non-FFP in the last 1 year time period. The target variable is FFP_IND; it is 1 for FFP passengers and 0 for Non-FFP passengers. The target variable FFP_IND is modeled using classification algorithms, Support Vector Machines (SVM) and Decision Tree (DT).

The two mining models are built every month using latest FFP and Non-FFP data and the mining models are applied on current Non-FFP passengers to predict who would likely to become FFP passenger.

The output from the model is two-fold:

The discovered rules outline the profile of Non-FFP passengers who would likely to become FFP.

The prediction can be made on current Non-FFP passengers once the model was trained.

Target Variables

The rules are designed to be generated monthly. Therefore, one SVM and one DT models are created every month using the following variable as target:

Frequent Flyer Passenger Indicator, ff_ind

Non-Frequent Flyer Passenger Source

The following table shows the columns identified from the 3NF layer (Base, Reference) and analytical layer (Derived, Reference) of data warehouse as source for K-Means model.

Table 9-13 shows the Materialized View: dmv_ffp_pred_src, columns identified as input source variables for the model.

Table 9-13 Frequent Flyer Passenger Prediction Source: dmv_ffp_pred_src

Column Name
Description

case_id

Unique identifier

trvl_doc_typ

Travel document type

trvl_doc_nbr

Travel document number, which is to be shown by passengers for identification

ff_nbr

Frequent flyer number, a business key

idfn_cd

Identification code

pax_typ

Passenger type

typ_cd

Type code

gndr

Gender of a passenger

age

age of a passenger

curr_sts

Current status of a passenger

ff_ind

Frequent flyer indicator, it is 1 for passengers who are ffps now, but were non-ffps in past, 0 for current non-ffps

clndr_month_key

Calendar month key of the data collected

sales_chnl_id

Sales channel indicator, through which passenger makes booking

tot_conf_bkgs

Total number of confirmed bookings among bookings made by a frequent flyer

mo_conf_bkgs

number of confirmed bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_grp_bkgs

Total number of group bookings among bookings made by a frequent flyer

mo_grp_bkgs

number of group bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_night_bkgs

Total number of night bookings among bookings made by a frequent flyer

mo_night_bkgs

number of night bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_dead_bkgs

Total number of dead bookings among bookings made by a frequent flyer

mo_dead_bkgs

number of dead bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_bsns_cls_bkgs

Total number of business class bookings among bookings made by a frequent flyer

mo_bsns_cls_bkgs

number of business class bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_ecnmy_cls_bkgs

Total number of economy class bookings among bookings made by a frequent flyer

mo_ecnmy_cls_bkgs

number of economy class bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_cdsh_bkgs

Total number of code share bookings among bookings made by a frequent flyer

mo_cdsh_bkgs

number of code share bookings among bookings made by a frequent flyer in the "clndr_month_key"

tot_avg_days_btwn_bkg_dprtr

Total average days between booking made and departure of flight

mo_avg_days_btwn_bkg_dprtr

average days between booking made and departure of flight in the "clndr_month_key"

tot_bkgs_at_rdy_to_leave

Total number bookings made at ready to leave by a frequent flyer

mo_bkgs_at_rdy_to_leave

number bookings made at ready to leave by a frequent flyer in the "clndr_month_key"

tot_cpn_amt

Total coupon amount

mo_cpn_amt

Coupon amount in the "clndr_month_key"

Non-Frequent Flyer Passenger Output

The mined rules are saved into following target table(s):

dwd_ffp_pred_dt_rules

dwd_ffp_pred_svm_factor

The scoring results are saved into following column(s) of target table, dwd_non_ffp_mnng

ffp_dt_pred

ffp_dt_nd_nbr

ffp_svm_pred

ffp_svm_prob

Non-Frequent Flyer Passenger Algorithm

Decision Tree (DT) for classification

Support Vector Machine (SVM) for classification

10 Oracle Airlines Data Model Utility Scripts

This chapter describes the Oracle Airlines Data Model utility scripts.

This chapter includes the following sections:

Calendar Population

Calendar Population

The Calendar population scripts consist of two one-time installation packages.

Calendar Population Scripts

The Calendar population scripts include the following packages:

calendar_population_header.sql

calendar_population_body.sql

Running these packages does the following:

Prepares necessary changes for the OADM_SYS schema.

Creates the Calendar_Population package that contains the following procedures:

RUN(in_setup_start_date, in_setup_no_years) is the main procedure to populate everything about calendar.

RBIW_Base_Time_Tables_ddl creates the base table needed to support multiple hierarchies: Business or Calendar.

RBIW_Populate_Time_Hier_Bsns(in_setup_start_date, in_setup_no_years) sets up the data in base table for the Business hierarchy as specified in setup or install section.

RBIW_Populate_Time_Hier_Clndr(in_setup_start_date, in_setup_no_years) sets up the data in base table for the Calendar hierarchy as specified in setup or install section.

RBIW_Time_hier_Star sets up the Time hierarchy reporting layer tables.

RBIW_Time_Views sets up the Time hierarchy reporting layer views, star and hybrid snowflake views.

RBIW_Populate_Time_Transform populates the Time transformation tables using the base Time tables or views created above. It populates transformation data for both hierarchies: Business and Calendar.

How to Populate Calendar Data

To populate calendar data:

Log in to OADM_SYS user.

Execute the following SQL statement:

exec Calendar_Population.run(date,num_years);

where, date is the start date with which you want to populate calendar data. It is of type CHAR and should be input in the format 'YYYY-MM-DD' (for example,'2005-05-18'). num_years is the number of years to populate calendar data, which should be INTEGER.

11 Oracle Airlines Data Model Sample Reports

This chapter provides Oracle Airlines Data Model sample reports and includes the following sections:

Agent Performance Analysis

Booking Analysis

Channel Performance Analysis

Revenue Analysis

Route Analysis Reports

Call Center Performance Analysis

Customer Loyalty Analysis

Customer Interaction Analysis

Note:

The reports and dashboards shown in the examples in this chapter and delivered with Oracle Airlines Data Model are provided only for demonstration purposes. These sample reports and dashboards are not supported by Oracle.

Agent Performance Analysis

The Agent Performance Analysis reports include the following areas:

Agent Performance Analysis Confirmed

Agent Performance Analysis PCT CANCEL

Agent Performance Analysis Total Revenue

Agent Performance Analysis Confirmed

This report, as shown in Figure 11-1 provides the current year month-level agent performance analysis confirmed for each agent along with their rank. The report also shows the metrics such as Confirmed LP, Confirmed % Change LP of sales revenue.

Report dimensions are:

Time

Figure 11-1 Agent Performance Analysis Confirmed Sample Report

Description of Figure 11-1 follows
Description of "Figure 11-1 Agent Performance Analysis Confirmed Sample Report"

Agent Performance Analysis PCT CANCEL

This report, as shown in Figure 11-2 provides the cancellation rate out of total bookings at month level for agents, along with their ranks. The report includes metrics such as LP for the cancellation rate.

Report dimensions are:

Time

Figure 11-2 Agent Performance Analysis PCT CANCEL Sample Report

Description of Figure 11-2 follows
Description of "Figure 11-2 Agent Performance Analysis PCT CANCEL Sample Report"

Agent Performance Analysis Total Revenue

This report, as shown in Figure 11-3, provides the current year month-level total revenue basing on agent performance for each agent. The report shows the ranks of agents according to their revenue. The report also shows the metrics such as LP and % Change LP of sales revenue.

Report dimensions are:

Time

Figure 11-3 Agent Performance Analysis Total Revenue Sample Report

Description of Figure 11-3 follows
Description of "Figure 11-3 Agent Performance Analysis Total Revenue Sample Report"

Booking Analysis

The Booking Analysis reports include the following areas:

Agent Booking Analysis

Booking Segment Analysis

Daily Booking Analysis

Flight booking Analysis

Group Booking Analysis

Monthly Booking Analysis

Quarterly Booking Analysis

Service Class Analysis

Weekly Booking Analysis

Agent Booking Analysis

This report, as shown in Figure 11-4 provides the year wise month level agent booking analysis. The report provides information on the number of booked tickets, confirmed tickets, and canceled tickets out of the booked and what is the materialization rate, along with the metrics LP, % Change LP for booked, canceled, confirmed, and the materialization rate and cancellation rate.

Report dimensions are:

Time

Agent Name

Booking Class

Figure 11-4 Agent Booking Analysis Sample Reports

Description of Figure 11-4 follows
Description of "Figure 11-4 Agent Booking Analysis Sample Reports"

Booking Segment Analysis

This report, as shown in Figure 11-5 provides the statistics for booking segment along with the booked tickets count, confirmed count and canceled count out of the booked at month level. The report also shows metrics such as LP, % Change LP for the booked, confirmed and canceled bookings.

Report dimensions are:

Time

Segment

Figure 11-5 Booking Segment Analysis Sample Report

Description of Figure 11-5 follows
Description of "Figure 11-5 Booking Segment Analysis Sample Report"

Daily Booking Analysis

This report, as shown in Figure 11-6 provides the current year day level booking analysis of tickets. The statistics are also for how many are canceled, ticketed, net booked and materialization rate for the booked tickets.

Report dimensions are:

Time

Figure 11-6 Daily Booking Analysis Sample Report

Description of Figure 11-6 follows
Description of "Figure 11-6 Daily Booking Analysis Sample Report"

Flight booking Analysis

This report, as shown in Figure 11-7 provides the current year month-level flight bookings for the operating flights. The report also shows how many tickets are booked and how many are confirmed and canceled out of the booked. The report includes the metrics LP, % Change LP on Booked, Confirmed and Cancelled.

Report dimensions are:

Time

Operating Flight

Figure 11-7 Flight booking Analysis Sample Report

Description of Figure 11-7 follows
Description of "Figure 11-7 Flight booking Analysis Sample Report"

Group Booking Analysis

This report, as shown in Figure 11-8 provides the booking of tickets in groups at month level for different service classes. The report also includes information on individual booked tickets. The report shows metrics, including LP and % Change LP for group booked and individual booked.

Report dimensions are:

Time

Service Class

Figure 11-8 Group Booking Analysis Sample Report

Description of Figure 11-8 follows
Description of "Figure 11-8 Group Booking Analysis Sample Report"

Monthly Booking Analysis

This report, as shown in Figure 11-9 provides the monthly booking analysis of the tickets. The statistics for booked, confirmed and canceled are shown. The report also shows metrics such as LP, % Change LP for booked, and confirmed and canceled tickets.

Figure 11-9 Monthly Booking Analysis Sample Report

Description of Figure 11-9 follows
Description of "Figure 11-9 Monthly Booking Analysis Sample Report"

Quarterly Booking Analysis

This report, as shown in Figure 11-10 provides the current year quarter level booking analysis so that you can understand which quarter has the most bookings and least bookings. The statistics on booked tickets, confirmed and canceled tickets out of the booked tickets are shown. The metrics such as LP, % Change LP or shown for the booked, confirmed and canceled tickets.

Report dimensions are:

Time

Figure 11-10 Quarterly Booking Analysis Sample Report

Description of Figure 11-10 follows
Description of "Figure 11-10 Quarterly Booking Analysis Sample Report"

Service Class Analysis

This report, as shown in Figure 11-11 provides the analysis on service class at the month level so that you can see which class is most popular. This understanding can be obtained from the information provided in booked, confirmed, canceled, canceled from conformed, net confirmed for the service class. You can also obtain information on metrics such as LP, % Change LP.

Report dimensions are:

Time

Operating Flight

Figure 11-11 Service Class Analysis Sample Report

Description of Figure 11-11 follows
Description of "Figure 11-11 Service Class Analysis Sample Report"

Weekly Booking Analysis

This report, as shown in Figure 11-12 provides the weekly booking analysis of tickets. The report includes information on how many tickets are booked, confirmed and canceled out of the booked at the week level. The metrics LP, % Change LP are also provided.

Report dimensions are:

Time

Figure 11-12 Weekly Booking Analysis Sample Report

Description of Figure 11-12 follows
Description of "Figure 11-12 Weekly Booking Analysis Sample Report"

Channel Performance Analysis

The Channel Performance Analysis reports include the following areas:

Agent Booking Analysis

Sales Channel Performance Analysis

Agent Booking Analysis

This report, as shown in Figure 11-13 provides the booking analysis of agents. The report shows information on which service class is well booked at which agent, how many are confirmed and canceled, and what is the materialization rate.

Report dimensions are:

Time

Agent

Figure 11-13 Agent Booking Analysis Sample Report

Description of Figure 11-13 follows
Description of "Figure 11-13 Agent Booking Analysis Sample Report"

Sales Channel Performance Analysis

This report, as shown in Figure 11-14 provides the sales channel performance analysis.

Report dimensions are:

Time

Agent

Figure 11-14 Sales Channel Performance Analysis Sample Report

Description of Figure 11-14 follows
Description of "Figure 11-14 Sales Channel Performance Analysis Sample Report"

Revenue Analysis

The Revenue Analysis reports include the following areas:

Agent Revenue Analysis in USD

Booking Class Revenue Analysis in USD

Channel Revenue Analysis in USD

Flight Revenue Analysis in USD

Flown Revenue Per Sales Region

Flown Revenue per Sales Region and Service Class

Sales - Net Revenue Flown Channel Flop 10

Sales - Net Revenue Flown Channel Top 10

Sales - Net Revenue Flown Flop 10 Countries

Sales - Net Revenue Flown Top 10 Countries

Sales - Net Revenue Per Agency - Top 10 Revenue

Segment Revenue Analysis in USD

Service Class Revenue Analysis in USD

Agent Revenue Analysis in USD

This report, as shown in Figure 11-15 provides the revenue analysis in terms of USD among the agents at the month level. This report provides information that allows you to determine agents that are performing well. The report also provides information on sales revenue, net revenue, and the LP, and % Change LP metrics.

Report dimensions are:

Time

Figure 11-15 Agent Revenue Analysis in USD Sample Report

Description of Figure 11-15 follows
Description of "Figure 11-15 Agent Revenue Analysis in USD Sample Report"

Booking Class Revenue Analysis in USD

This report, as shown in Figure 11-16 provides the revenue analysis for booking class in USD. This provides information so that you can determine which booking class is well used under which service class. The report also provides metrics for net revenue, sales revenue, LP, and % Change LP metrics.

Report dimensions are:

Time

Figure 11-16 Booking Class Revenue Analysis in USD Sample Report

Description of Figure 11-16 follows
Description of "Figure 11-16 Booking Class Revenue Analysis in USD Sample Report"

Channel Revenue Analysis in USD

This report, as shown in Figure 11-17 provides the channel revenue analysis in USD.

Report dimensions are:

Time

Figure 11-17 Channel Revenue Analysis in USD Sample Report

Description of Figure 11-17 follows
Description of "Figure 11-17 Channel Revenue Analysis in USD Sample Report"

Flight Revenue Analysis in USD

This report, as shown in Figure 11-18 provides the revenue analysis in USD for flights at month level. The report shows which revenue per operating flight. The report also includes information on net revenue, sales revenue, and the metrics LP, and % Change LP.

Report dimensions are:

Time

Figure 11-18 Flight Revenue Analysis in USD Sample Report

Description of Figure 11-18 follows
Description of "Figure 11-18 Flight Revenue Analysis in USD Sample Report"

Flown Revenue Per Sales Region

This report, as shown in Figure 11-19 provides the current year month level flown revenue for sales regions. The information is obtained for flown revenue, flown passenger count and average fare for the sales regions along with LP, % Change LP. This report information help you determine which region has the most revenue.

Report dimensions are:

Time

Agent Region

Figure 11-19 Flown Revenue per Sales Region Sample Report

Description of Figure 11-19 follows
Description of "Figure 11-19 Flown Revenue per Sales Region Sample Report"

Flown Revenue per Sales Region and Service Class

This report, as shown in Figure 11-20 provides the flown revenue per sales region and service class. The report information is on the flight revenue, flight passenger count and average fare along with the metrics of LP, % Change LP for the flight revenue and flight passenger count. The information in this report help you determine which sales region and which service class has higher revenue.

Report dimensions are:

Time

Agent Region

Service Class

Figure 11-20 Flown Revenue Per Sales Region and Service Class Sample Report

Description of Figure 11-20 follows
Description of "Figure 11-20 Flown Revenue Per Sales Region and Service Class Sample Report"

Sales - Net Revenue Flown Channel Flop 10

This report, as shown in Figure 11-21 provides the Sales, Net Revenue Flown Channel Flop 10 report.

Report dimensions are:

Time

Figure 11-21 Sales - Net Revenue Flown Channel Flop 10

Description of Figure 11-21 follows
Description of "Figure 11-21 Sales - Net Revenue Flown Channel Flop 10"

Sales - Net Revenue Flown Channel Top 10

This report, as shown in Figure 11-22 provides the sales net revenue flown channel by channel type.

Report dimensions are:

Time

Figure 11-22 Net Revenue Flown Channel Top 10 Sample Report

Description of Figure 11-22 follows
Description of "Figure 11-22 Net Revenue Flown Channel Top 10 Sample Report"

Sales - Net Revenue Flown Flop 10 Countries

This report, as shown in Figure 11-23 provides information on flown passenger counts by country.

Report dimensions are:

Time

Figure 11-23 Net revenue flown Flop 10 Countries Sample Report

Description of Figure 11-23 follows
Description of "Figure 11-23 Net revenue flown Flop 10 Countries Sample Report"

Sales - Net Revenue Flown Top 10 Countries

This report, as shown in Figure 11-24 provides the net revenue flown for the top ten countries.

Report dimensions are:

Time

Figure 11-24 Sales - Net revenue flown Top 10 Countries Sample Report

Description of Figure 11-24 follows
Description of "Figure 11-24 Sales - Net revenue flown Top 10 Countries Sample Report"

Sales - Net Revenue Per Agency - Top 10 Revenue

This report, as shown in Figure 11-25 provides the sales net revenue per top ten agency.

Report dimensions are:

Time

Figure 11-25 Sales - Net Revenue Per Agency - Top 10 Revenue Sample Report

Description of Figure 11-25 follows
Description of "Figure 11-25 Sales - Net Revenue Per Agency - Top 10 Revenue Sample Report"

Segment Revenue Analysis in USD

This report, as shown in Figure 11-26 provides the information on revenue analysis segment wise in month level. The statistics on sales revenue, net revenue, net revenue per pax, net revenue per booking is available along with LP metrics. This reports can help you determine which segment is well used based on revenue.

Report dimensions are:

Time

Figure 11-26 Segment Revenue Analysis in USD Sample Report

Description of Figure 11-26 follows
Description of "Figure 11-26 Segment Revenue Analysis in USD Sample Report"

Service Class Revenue Analysis in USD

This report, as shown in Figure 11-27 provides the month level revenue analysis on service class in USD. The report shows that out of all the service classes available, class usage and revenue per service class. The report also shows metrics such as LP for sales revenue, net revenue, net revenue per pax and net revenue for booking.

Report dimensions are:

Time

Figure 11-27 Service Class Revenue Analysis in USD Sample Report

Description of Figure 11-27 follows
Description of "Figure 11-27 Service Class Revenue Analysis in USD Sample Report"

Route Analysis Reports

The Route Analysis Reports are includes one report:

Route Ranking on Bookings

Route Ranking on Bookings

This report, as shown in Figure 11-28 provides the information on rankings of routes based on bookings at month level. The report shows the statistics for booked, confirmed and canceled, along with the metrics LP, % Change LP for booked, confirmed and canceled. Based on the booking statistics, the report provides ranks for the routes. The report also shows the cancellation rate for the particular route.

Report dimensions are:

Time

Figure 11-28 Route Ranking on Bookings Sample Report

Description of Figure 11-28 follows
Description of "Figure 11-28 Route Ranking on Bookings Sample Report"

Call Center Performance Analysis

The Call Center Performance Analysis reports include the following areas:

Call Center Performance

Call Center Sales Performance

Call Center Performance

This report, as shown in Figure 11-29 provides the year wise month level call center performance agents wise. The report includes the total number of calls and how many are accessible calls out the total calls. The metrics like LP, % Change LP for the total number of calls and accessible calls can be obtained from this report.

Report dimensions are:

Time

Agent

Figure 11-29 Call Center Performance Sample Report

Description of Figure 11-29 follows
Description of "Figure 11-29 Call Center Performance Sample Report"

Call Center Sales Performance

This report, as shown in Figure 11-30 provides the current year month level sales performance for the call centers for all the agents. The report includes information on the sold revenue and the count of coupons. This report also shows metrics LP and % Change LP for the Sold revenue and Coupons count.

Report dimensions are:

Time

Agent

Figure 11-30 Call Center Sales Performance Sample Report

Description of Figure 11-30 follows
Description of "Figure 11-30 Call Center Sales Performance Sample Report"

Customer Loyalty Analysis

The Customer Loyalty Analysis reports include the following areas:

Airline Contribution

Earn / Redemption

Membership Development

Frequent Flyer Customer Mining

Non-Frequent Flyer Customer Mining

Airline Contribution

This report, as shown in Figure 11-31 provides the year wise month level information on airline contribution, that is, how many members are there, how many are active out the total members, what is their growth rate, what is the passengers count and the rate of active members, Active members/Pax, and so on. The metrics like LP, % Change LP for members, active members are also obtained.

Report dimensions are:

Time

Loyalty Level

Figure 11-31 Airline Contribution Sample Report

Description of Figure 11-31 follows
Description of "Figure 11-31 Airline Contribution Sample Report"

Earn / Redemption

This report, as shown in Figure 11-32 provides the current year month level earnings and redemptions. The report includes the total mils amount in accounts, total mils amount earned, and redeemed in the accounts. This report also provides the metrics LP, % Change LP for the total mils amount in accounts, total mils amount earned in accounts and total mils amount redeemed in account.

Report dimensions are:

Time

Loyalty Level

Figure 11-32 Earn / Redemption Sample Report

Description of Figure 11-32 follows
Description of "Figure 11-32 Earn / Redemption Sample Report"

Membership Development

This report, as shown in Figure 11-33 provides the membership development for the current year month level basing on loyalty level in different countries. This report provides information on the number of members, how many members are upgraded and degraded. The report also shows the metrics LP and % Change LP for the members' growth rate, upgrade count, and downgrade count.

Report dimensions are:

Time

Country

Loyalty Level

Figure 11-33 Membership Development Sample Report

Description of Figure 11-33 follows
Description of "Figure 11-33 Membership Development Sample Report"

Frequent Flyer Customer Mining

The Frequent Flyer Customer Mining reports include the following areas:

Customer Segments

Customer Loyalty

Customer Life Time Analysis

Customer Segmentation Details

Customer Segments

This report, as shown in Figure 11-34 provides the frequent flyer customer mining report for segments.

Figure 11-34 Frequent Flyer Customer Mining Customer Segments

Description of Figure 11-34 follows
Description of "Figure 11-34 Frequent Flyer Customer Mining Customer Segments"

Customer Loyalty

This report, as shown in Figure 11-35 provides the frequent flyer customer mining for customer loyalty.

Report dimensions are:

Target Value

Figure 11-35 Frequent Flyer Customer Mining Customer Loyalty Sample Report

Description of Figure 11-35 follows
Description of "Figure 11-35 Frequent Flyer Customer Mining Customer Loyalty Sample Report"

Customer Life Time Analysis

This report, as shown in Figure 11-36 provides the frequent flyer customer mining report for expected customer life time.

Figure 11-36 Frequent Flyer Customer Mining: Customer Life Time Analysis Sample Report

Description of Figure 11-36 follows
Description of "Figure 11-36 Frequent Flyer Customer Mining: Customer Life Time Analysis Sample Report"

Customer Segmentation Details

This report, as shown in Figure 11-37 provides the frequent flyer customer mining report for customer segmentation.

Report dimensions are:

Customer Segment Code

Figure 11-37 Frequent Flyer Customer Mining: Customer Segmentation Details Report

Description of Figure 11-37 follows
Description of "Figure 11-37 Frequent Flyer Customer Mining: Customer Segmentation Details Report"

Non-Frequent Flyer Customer Mining

Non-Frequent Flyer Customer Mining

This Non-Frequent Flyer Customer Mining reports include the following areas:

FFP Prediction In Non-FFP Customers

Non-FFP Customer Mining Overall

FFP Prediction In Non-FFP Customers

This report, as shown in Figure 11-38 provides the Non-Frequent Flyer Customer Mining FFP Prediction Sample Report.

Figure 11-38 Non-Frequent Flyer Customer Mining FFP Prediction In Non-FFP Customers Sample Report

Description of Figure 11-38 follows
Description of "Figure 11-38 Non-Frequent Flyer Customer Mining FFP Prediction In Non-FFP Customers Sample Report"

Non-FFP Customer Mining Overall

This report, as shown in Figure 11-39 provides the Non-FFP Customer Mining Overall Sample Report.

Figure 11-39 Non-FFP Customer Mining Overall Sample Report

Description of Figure 11-39 follows
Description of "Figure 11-39 Non-FFP Customer Mining Overall Sample Report"

Customer Interaction Analysis

This Customer Interaction Analysis reports include the following areas:

Customer Satisfaction Survey Summary

Customer Satisfaction Onboard Survey Detail

Customer Satisfaction Ground Survey Detail

Customer Relations Customer Comments

Customer Satisfaction Survey Summary

This report, as shown in Figure 11-40 provides the yearly month wise customer satisfaction survey summary based on service type, that is, count of surveys made, satisfaction rate of customers known through the survey is known in this report. The report shows metrics such as LP, % Change LP for the total survey count and satisfaction rate of the customers.

Report dimensions are:

Time

Service Type

Figure 11-40 Customer Satisfaction Survey Summary Sample Report

Description of Figure 11-40 follows
Description of "Figure 11-40 Customer Satisfaction Survey Summary Sample Report"

Customer Satisfaction Onboard Survey Detail

This report, as shown in Figure 11-41 provides the current year month level customer satisfaction onboard based on service type. The report includes information on the total surveys and the satisfaction rate of the customers onboard. The report shows metrics such as LP, % Change LP for total survey count and satisfaction rate.

Report dimensions are:

Time

Service Type

Figure 11-41 Customer Satisfaction Onboard Survey Detail Sample Report

Description of Figure 11-41 follows
Description of "Figure 11-41 Customer Satisfaction Onboard Survey Detail Sample Report"

Customer Satisfaction Ground Survey Detail

This report, as shown in Figure 11-42 provides the customer satisfaction ground survey details for current year month wise. Statistics on Total surveys made, what is the satisfaction rate of the customers will be provided along with LP and % Change LP in this report.

Report dimensions are:

Time

Service Type

Figure 11-42 Customer Satisfaction Ground Survey Detail Sample Report

Description of Figure 11-42 follows
Description of "Figure 11-42 Customer Satisfaction Ground Survey Detail Sample Report"

Customer Relations Customer Comments

This report, as shown in Figure 11-43 provides the month level customer relations. The report includes statistics on count of surveys made in the current month for the service type and service. The metrics like LP and % Change LP will also be there for this.

Report dimensions are:

Time

Service Type

Figure 11-43 Customer Relations Customer Comments Sample Report

Description of Figure 11-43 follows
Description of "Figure 11-43 Customer Relations Customer Comments Sample Report"

Part III

Appendices

Part III contains the following Appendixes:

Appendix A, "Control Tables"

A Control Tables

Some tables are defined in the oadm_sys schema and use a DWC_ prefix, but are not part of Oracle Airlines Data Model. You use the DWC_ control tables when processing the model. For example when loading data or when monitoring errors.

This appendix includes the following sections:

Intra-ETL Load Parameters Control Table

Intra-ETL OLAP Mapping Control Table

Intra-ETL Monitoring Process Control Tables

Intra-ETL Parameter Management Tables

Intra-ETL Error Management Table

Intra-ETL Load Parameters Control Table

Before you run the Intra-ETL, for an incremental load, you must update the Oracle Airlines Data Model Relational ETL parameters in DWC_ETL_PARAMETER table so that this information can be used when loading the relational data. This program prompts for several environment parameter values. And reads ETL parameters from DWC_ETL_PARAMETER table, as shown in Table A-1, and DWC_OLAP_ETL_PARM table, as shown in Table A-2. For more information on running the Intra-ETL, see Oracle Airlines Data Model Implementation and Operations Guide

The PKG_DWD_*_MAP loads data from Oracle Airlines Data Model base tables into the Oracle Airlines Data Model derived tables. These packages read relational ETL parameters from the DWC_ETL_PARAMETER table.

You update the parameters in DWC_ETL_PARAMETER control table in the oadm_sys schema so that this information can be used when loading the derived and aggregate tables and views.

Table A-1 describes the valid values for the DWC_ETL_PARAMETER table.

Table A-1 DWC_ETL_PARAMETER Table

Column
Description

PROCESS_NAME

OADM-INTRA-ETL

FROM_DATE_ETL

The start date of ETL period.

TO_DATE_ETL

The end date of ETL period.

LOAD_DT

The date when this record are populated.

LAST_UPDT_DT

The date when this record are last updated

LAST_UPDT_BY

The user who last updated this record

Intra-ETL OLAP Mapping Control Table

The OLAP MAP mapping that loads OLAP cube data invokes the analytic workspace build function from the PKG_OADM_OLAP_ETL_AW_LOAD package. This package loads data from Oracle Airlines Data Model aggregate materialized views into the Oracle Airlines Data Model analytical workspace and calculates the forecast data. The PKG_OADM_OLAP_ETL_AW_LOAD reads OLAP ETL parameters from the DWC_OLAP_ETL_PARM table.

You update the Oracle Airlines Data Model OLAP ETL parameters in DWC_OLAP_ETL_PARM control table in the oadm_sys schema so that this information can be used when loading the OLAP cube data.

Table A-2 describes the valid values for the DWC_OLAP_ETL_PARM table. For more information on the values to specify when performing an initial load of OLAP cube data or when refreshing the OLAP cubes after an initial load, see Oracle Airlines Data Model Implementation and Operations Guide.

Table A-2 ETL Parameters in the DWC_OLAP_ETL_PARM Table

Column Name
Description

BUILD_METHOD

Cube build/refresh method specified by a value:

C specifies a complete refresh which clears all dimension values before loading.

? specifies a fast refresh if possible; otherwise, a complete refresh. (Default)

CUBENAME

Specifies the cubes you want to build:

ALL builds all of the cubes in the Oracle Airlines Data Model analytic workspace.

cubename[[|cubename]...] specifies one or more cubes, as specified with cubename, to build.

MAXJOBQUEUES

A decimal value that specifies the number of parallel processes to allocate to this job. (Default value is 4.)

The value that you specify varies depending on the setting of the JOB_QUEUE_PROCESSES database initialization parameter

CALC_FCST

One of the following values depending on whether you want to calculate forecast cubes:

Y specifies calculate forecast cubes.

N specifies do not calculate forecast cubes.

NO_FCST_YRS

If the value for the CALC_FCST column is Y, specify a decimal value that specifies how many years forecast data you want to calculate; otherwise, specify NULL.

FCST_MTHD

If the value for the CALC_FCST column is Y, then specify AUTO; otherwise, specify NULL.

FCST_ST_YR

If the value for the CALC_FCST column is Y, then specify value specified as yyyy which is the "start business year" of a historical period;.

FCST_END_YR

If the value for the CALC_FCST column is Y, then specify value specified as yyyy which is the "end business year" of a historical period;

OTHER1

Specify NULL.

OTHER2

Specify NULL.

Intra-ETL Monitoring Process Control Tables

The two control table in the oadm_sys schema, DWC_INTRA_ETL_PROCESS and DWC_INTRA_ETL_ACTIVITY, monitor the execution of the Intra-ETL process.

Table A-3 contains column name information for DWC_INTRA_ETL_PROCESS. Table A-4 contains column name information for DWC_INTRA_ETL_ACTIVITY.

Table A-3 DWC_INTRA_ETL_PROCESS Columns

Columns Name
Data Type
Not Null
Remarks

PROCESS_KEY

NUMBER(30,0)

No

Primary Key, System

Generated Unique Identifier

PROCESS_TYPE

VARCHAR2(20 BYTE)

No

PROCESS_START_TIME

DATE

No

ETL Process Start Date and Time

PROCESS_END_TIME

DATE

Yes

PROCESS_STATUS

VARCHAR2(30 BYTE)

No

Current status of the process

OLD_PROCESS_KEY

NUMBER(22,0)

Yes

FROM_DATE_ETL

DATE

Yes

TO_DATE_ETL

DATE

Yes

LOAD_DT

DATE

Yes

LAST_UPDT_DT

DATE

Yes

LAST_UPDT_BY

VARCHAR2(30 BYTE)

Yes

Table A-4 DWC_INTRA_ETL_ACTIVITY Columns

Columns Name
Data Type
Not Null
Remarks

ACTIVITY_KEY

NUMBER(30,0)

No

Primary Key, System Generated

Unique Identifier

PROCESS_KEY

NUMBER(30,0)

No

Process Key. FK to DWC_INTRA_ETL_PROCESS table.

ACTIVITY_NAME

VARCHAR2(50 BYTE)

No

Activity Name or Intra-ETL

Program Name

ACTIVITY_DESC

VARCHAR2(500 BYTE)

Yes

ACTIVITY_START_TIME

DATE

No

Intra ETL Program Start Date

and Time

ACTIVITY_END_TIME

DATE

Yes

ACTIVITY_STATUS

VARCHAR2(30 BYTE)

No

Current status of the process

COPIED_REC_IND

CHAR(1 BYTE)

Yes

ERROR_DTL

VARCHAR2(2000 BYTE)

Yes

LOAD_DT

DATE

Yes

LAST_UPDT_DT

DATE

Yes

LAST_UPDT_BY

VARCHAR2(30 BYTE)

Yes

Intra-ETL Parameter Management Tables

Table A-5 contains column name information for DWC_ACTIVITY.

Table A-6 contains column name information for DWC_ACTIVITY_PARM.

Table A-7 contains column name information for DWC_ACTIVITY_PARM_TYP.

The design of the parameter management enables you to restrict the control on the parameter values. The parameter restrictions should be managed only by a project DBA and architect. A project DBA must provide only read access to others. The approach to insert and update of these tables is defined in detail in Oracle Airlines Data Model Implementation and Operations Guide.

Table A-5 DWC_ACTIVITY Columns

Columns Name
Data Type
Not Null
Remarks

ACTIVITY_ID

NUMBER

No

Marks the identifier for PL/SQL procedures.

ACTIVITY_NAME

VARCHAR2(255 BYTE)

Yes

Name of the PL/SQL program.

Table A-6 DWC_ACTIVITY_PARM Columns

Columns Name
Data Type
Not Null
Remarks

ACTIVITY_ID

NUMBER

No

The identifier for PL/SQL procedures

PARM_TYPE_ID

NUMBER

No

The identifier for a defined parameter

PARM_POSITION

NUMBER

Yes

A unique number for repeated use of the same parameter in a program

PARM_VAL_TXT

VARCHAR2(255 BYTE)

Yes

The true value of the parameter

Table A-7 DWC_ACTIVITY_PARM_TYP Columns

Columns Name
Data Type
Not Null
Remarks

PARM_TYPE_ID

NUMBER

No

The identifier for a defined parameter.

PARM_TYPE_NAME

VARCHAR2(255 BYTE)

Yes

Name of the parameter

Intra-ETL Error Management Table

Table A-8 contains column name information for DWC_ERROR_LOG.

Table A-9 contains column name information for DWC_MESSAGE.

Table A-8 DWC_ERROR_LOG Columns

Columns Name
Data Type
Not Null
Remarks

ERROR_ID

NUMBER

NO

Primary Key, System Generated Unique Identifier

ERROR_CD

VARCHAR2(30 BYTE)

YES

It contains error code which generate at execution time.

ERROR_DESC

VARCHAR2(600 BYTE)

YES

It contains the long description of error.

SRC_ID

NUMBER

YES

It contains the primary key of the source table.

LOAD_DT

TIMESTAMP(6)

YES

It contains the execution timestamp which helps to determine the load time.

OBJECT_TYP

VARCHAR2(25 BYTE)

YES

The attribute stores the type of object. For example, Package or Procedure and so on.

OBJECT_NM

VARCHAR2(250 BYTE)

YES

The attribute stores object name.

OWNR

VARCHAR2(40 BYTE)

YES

CRE_BY

VARCHAR2(60 BYTE)

YES

CRE_TMSTMP

TIMESTAMP(6)

YES

UPD_BY

VARCHAR2(60 BYTE)

YES

UPD_TMSTMP

TIMESTAMP(6)

Table A-9 DWC_MESSAGE Columns

Columns Name
Data Type
Not Null

MESSAGE_NO

NUMBER(6,0)

NO

LANGUAGE

VARCHAR2(50 BYTE)

NO

MESSAGE_TEXT

VARCHAR2(200 BYTE)

NO

Index

A  B  C  D  E  I  L  O  P  R  S  U 

A

aggregate tables

physical data model, 3.5, 3.6

B

base entities.

See entities, Oracle Retail Data Model

base tables

physical data model, 3.3

C

calendar population

utility scripts, 10.1

D

data mining in Oracle Airlines Data Model See data mining models, Oracle Airlines Data Model

database sequences

physical data model, 3.8, 3.9

derived tables

physical data model, 3.4

E

entities, Oracle Airlines Data Model

logical, 2

entities, Oracle Retail Data Model

lookup, 2.2, 3.7

entity dictionary, 2.6, 2.7

I

intra-ETL, 6

DWC_OLAP_ETL_PARM table, A.2

PL/SQL mapping, 6.3, 6.3, 6.3

L

logical data model, 2.6, 2.7

reference entities, 2.1, 2.2, 2.3, 2.4, 2.5

logical data model, Oracle Airlines Data Model, 2

logical entities, Oracle Airlines Data Model, 2

logical to physical mapping

Oracle Airlines Data Model, 4

lookup entities, Oracle Retail Data Model, 2.2, 3.7

lookup tables

physical data model, 2.2, 3.7

O

OLAP cube

account debt cube, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8

ADM, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8

OLAP cube materialized views, 3.11

OLAP cube views

from oadm_sys schema, 3.11

OLAP model dimensions

Oracle Airlines Data Model, 7

Oracle Airlines Data Model, 3, 6

components summary, 1.3

intra-ETL, 6

logical data model, 2, 3

logical to physical mapping, 4

OLAP model dimensions, 7

physical data model partitioning, 5

sample reports, 11

utility scripts, 10

P

physical data model, 3

aggregate tables, 3.5, 3.6

base tables, 3.3

database sequences, 3.8, 3.9

derived tables, 3.4

lookup tables, 2.2, 3.7

OLAP cube materialized views, 3.11

partitioning, 5

reference tables, 3.2

physical data model, Oracle Airlines Data Model, 3

physical entities, Oracle Airlines Data Model

physical, 3

PL/SQL mapping for intra-ETL, 6.3, 6.3, 6.3

R

reference tables

physical data model, 3.2

S

sample reports

Oracle Airlines Data Model, 11

U

utility scripts

calendar population, 10.1

Oracle Airlines Data Model, 10

Text.

Shows Booking Analysis area with Monthly Booking Analysis Tab. Shows two graphs and a table.

Shows graph with Cancelled, Confirmed, Booked numbers. Total Numbers on Y axis, and Year and Month on X (time axis). The total in each bar graph with different colors showing the individual numbers that make up the total. Key shows colors for Booked, Confirmed, and Cancelled.

Shows a graph with no values: Booked % Change LP, Confirmed % Change LP, Cancelled % Change LP.

Chart shows data values. The table includes sample data under columns: Year, Month, Booked, Booked LP, Booked % Change LP, Confirmed, Confirmed LP, Confirmed % Change LP, Cancelled, Cancelled LP, Cancelled % Change LP. Values are shown for months in CY 2010.

Shows Revenue Analysis area with Sales - Net Revenue Flown Top 10 Countries Tab. Shows two bar graphs, a line graph, and a table.

Top area includes Year and Month selection boxes.

Shows graph Flown Revenue. This includes a selection box for Year and Month. Y axis shows Rank and Agent Country. X axis shows Flown Revenue, from 0 to 7,000 dollars.

Shows graph with Flown Passenger Count numbers. Includes Year and Month selection boxes. Shows Flown Passenger Count on X axis and Rank, Agent Country on the Y axis.

Shows a line graph for Average Fare. Graph shows Average Fare on Y axis and Year, Month on the X axis.

Table shows data values. The table includes sample data under columns: Year, Month, Agent Country, Rank, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Shows Data Mining Process Overview. This shows two major areas, Oracle Database and BIEE Reports. In the Oracle Database, there are processes in OADM_SYS schema to support mining, including these: Mining Support Tables that feed into the Mining Package, and Mining Source Views that also feed into the Mining Package. The Mining Source Views are from the OADM Main Model and from Mining ETL. The Mining Package produces Mining Result Tables that are source for the BIEE Reports. The OADM Main Model is also part of the source for the BIEE Reports.

Shows Revenue Analysis area with Sales, Net Revenue Flown FLOP 10 Countries Tab. Shows three graphs and a table.

Top area includes Year, Month selection boxes.

Shows bar graph with Flown Revenue numbers. X axis shows Countries and Rank and Y axis show Total Numbers for Flown Revenue (from 0 to 7,000).

Shows bar graph with Flown Passenger Count numbers. Shows Countries and rank on X axis and shows Flown Passenger Count on Y axis (bars grow to the right).

Shows line graph with Average Fare. Shows Average Fare on Y axis and year and month on X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Agent Country, Rank, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Add

Shows Revenue Analysis area with Channel Revenue Analysis in USD Tab. Shows two graphs, a pie charts, and a table.

Includes selection boxes for Year, Quarter, and Month.

One graph shows Sales Revenue and Net Revenue by Channel Type and includes a Channel Type selection boxes. This is a bar graph with Y axis showing Sales Revenue and Net Revenue and X axis Year, Month with 12 bars for CY 2010.

Pie chart includes a Year and Month selection box and shows Sales Revenue.

Second graph is a line graph showing Sales Revenue and Net Revenue with the Y axis showing monthly data for CY 2010.

Chart shows data values. The table includes sample data under columns: Year, Month, Channel Type, Sales Revenue, Sales Revenue LP, Net Revenue, Net Revenue LP, Net Revenue Per Pax, Net Revenue Per Pax LP, Net Revenue Per Booking, Net Revenue Per Booking LP.

Shows the Non-Frequent Flyer Customer Mining area with the FFP Prediction in Non-FFP Customers tab. Includes one bar graph and two tables.

The Non-FFP Customer Prediction SVM Factor area include a bar graph and a table.

The bar graph has Attribute Name for the X axis and SVM factor in the Y axis.

The data table includes headings: Attribute Name Attribute Value, SVM Factor, and SVM Factor Rank.

The Non-FFP Customer Prediction DT Rules area includes a table with headings: DT Rule ID, Target Measure Name, Target Measure Value, Non-FFP Customer Profile, Customer Count, and Prediction Count.

Shows Agent Performance Analysis area with Agent Performance Analysis Total Revenue Tab. Shows Time dimension areas with Year, Month and Quarter selection boxes. Shows graph with Total Revenue numbers by Company name. Also shows chart with data values: Year, Month, Agent Name, Rank, Total Revenue, and two empty columns: Sales Revenue and Sales Revenue % Change.

Shows Revenue Analysis area with Sales, Net Revenue Flown Channel Flop10 Tab. Shows two bar graphs, a line graph, and a table.

Top area includes Year, Month selection boxes.

Shows bar graph with Flown Revenue numbers. This includes a selection box to select the Month. The Y axis shows Rank and Channel Type and the X axis shows Total Numbers for Flown Revenue (from 0K to 16K).

Shows a bar graph with Flown Passenger Count numbers. This includes a selection box to select the Month. Rank and Channel Type on the Y axis and shows Flown Passenger Count on X axis (bars grow to the right on X axis from 0 to 14).

Shows line graph with Average Fare. Shows a selection box for Channel Type. Shows Average Fare on Y axis and year and month on X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Rank, Channel Type, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Shows Booking Analysis area with Flight Booking Analysis Tab. Shows dimension areas with Year, Month, Quarter, and Operating Flight selection boxes. Shows two graphs and a table.

Shows graph with Cancelled, Confirmed, Booked numbers by operating flight (total in each bar graph with different colors showing the individual numbers that make up the total), showing one bar for each flight. Key shows colors for Cancelled, Confirmed, and Booked.

Shows graph with Cancelled, Confirmed, Booked numbers by month (total in each bar graph with different colors showing the individual numbers that make up the total), showing one bar for each Year, Quarter and Month. Key shows colors for Booked, Confirmed, and Cancelled.

Chart shows data values. The table includes sample data under columns: Year, Month, Operating Flight, Booked, Booked LP, Booked % Change LP, Confirmed, Confirmed %Change LP, Cancelled, Cancelled LP, Cancelled %Change LP.

Shows Channel Performance Analysis area with Agent Booking Analysis Tab. Shows two graphs and a table. Top shows Year, Month and Agent selection boxes.

Agent Booking analysis area shows two graphs with Agent Name and Service Class selection boxes.

Shows graph with Booked, Confirmed, Cancelled monthly numbers. Total Numbers on Y axis and year and month on X axis. The total in each bar graph with different colors showing the individual numbers that make up the total. Key shows colors for Booked, Confirmed, and Cancelled.

Shows a graph with title "Materialization Rate, Cancellation Rate" Y axis includes numbers for Materialization Rate, Cancellation Rate and X axis includes time, year and month.

Chart shows data values. The table includes sample data under columns: Year, Month, Agent Name, Service Class, Booked, Booked LP, Booked % Change LP, Confirmed, Confirmed LP, Confirmed % Change LP, Cancelled, Materialization Rate, Cancellation Rate, and Cancellation Rate LP.

Shows Call Center Performance Analysis area with Call Center Sales Performance Tab. Shows three graphs and a table.

Top area includes Month, Year, and Agent Region selection boxes.

Shows bar graph for Revenue (this graph does not show the Y axis).

Shows graph with title Coupons Count. Includes Y axis Coupons Count and X axis year, month. Shows 12 months of data for 2010.

Shows line graph for Average Fare. Shows Average Fare on Y axis and month year on X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Agent, Sold Revenue, Sold Revenue LP, Sold Revenue % Change LP, Coupons Count, Coupons Count LP, Coupons Count % Change LP, Average Fare.

Shows Customer Interaction Analysis area with Customer Satisfaction Ground Survey Detail Tab. Shows two graphs and a table.

Shows top area with Year, Month, Service Type, and Service selection boxes.

Shows a bar graph with Total Survey Count, Satisfaction Rate title. This graph includes a Service Type selection box. Y axis on left shows count (total Survey Count for bars). Includes a line with Y axis on right with Satisfaction Rate (for 0% to 120%). Bars show 12 values for months in CY 2010. Line shows 100% for all values.

Shows empty graph for Satisfaction Growth Rate (%Change LP).

Chart shows data values. The table includes sample data under columns: Year, Month, Service Type, Total Survey Count, Total Survey Count LP, Total Survey Count %Change LP, Satisfaction Rate, Satisfaction Rate LP, Satisfaction Growth Rate (%Change LP).

Shows Frequent Flyer Customer Mining area and the Customer Segmentation Details tab. Includes a selection box for Customer Segment Code. Shows a table with sample values for frequent flyer customer mining columns: Customer Segment Code, Customer FF Card Key, Customer Loyalty SVM Prediction, Customer Loyalty DT Prediction, Customer Life Time Value, Customer Life Time Value Band Code, Customer Life Time Survival Value, Customer Life Time Survival Code, Avg Monthly Group Bkgs, Avg, Monthly Days Between Booking and Departure, Avg Monthly Business Class Bkgs.

Shows Revenue Analysis area with Flown Revenue Per Sales Region Tab. Shows three graphs and a table.

Top area includes Year, Month and Agent Region selection boxes.

Shows graph Flown Revenue numbers. Total Numbers on Y axis and year and month on X axis.

Shows graph with Flown Passenger Count numbers. Includes Sales Region selection box. Shows Flown Passenger Count on Y axis and year and month on X axis.

Shows graph with Average Fare. Includes Sales Region selection box. Shows Average Fare on Y axis and year and month on X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Sales Region, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Shows Booking Analysis area with Agent Booking Analysis Tab. Shows dimension areas with Year, Month, Day, Quarter, Agent Name, and Booking Class selection boxes. Shows graph with Booked, Confirmed, and Cancelled numbers, each in a bar graph, for the selected year and month.

The chart shows data values for total booked, confirmed and cancelled over Year and Month. One with Materialization Rate and Cancellation Rate by year and month. The table includes sample data under columns: Year, Month Agent Name, Service Class, Booked, Booked LP, Confirmed, Confirmed LP, Cancelled, Cancelled LP, Materialization Rate, Materialization Rate LP, Cancellation Rate and Cancellation Rate LP.

Shows the main intra-ETL process flow: Start, Process Flow1: PSS, Process Flow 2: Loyalty, Process Flow 3, CI, and END.

Shows Frequent Flyer Customer Mining area with Customer Life Time Analysis Tab. Shows one bar graph and a table.

Graph shows SVM Factor: X axis Attribute Name, and Y axis SVM Factor, with values from .0000 to .0005.

Table includes sample values and headings: Target Variable, Attribute Name, MAX(Attribute Value), SVM Factor, SVM Factor Rank.

Shows Booking Analysis area with Service Class Analysis Tab. Shows three graphs and a table. Shows dimension areas with Year, Month, Quarter, and Operating Flight selection boxes.

Shows graph with title, "Ticketed Bookings by Service Class". Relative Numbers on Y axis, and Year and Month on X axis (time axis). The total in each bar graph with different colors showing the numbers that make up the total. No key is shown.

Shows two pie charts for Booked and a Year selection box.

Chart shows data values. The table includes sample data under columns: Year, Month, Service Class (for example Business and Economy), Booking Class (for example C, A, E, and so on), Booked, Booked LP, Ticketed, Ticketed LP, Confirmed, Confirmed LP, Cancelled, Cancelled LP, Cancelled From Confirmed, Cancelled From Confirmed LP, Net Booked, Net Booked LP.

Shows Revenue Analysis area with Agent Revenue Analysis in USD Tab. Shows two graphs and a table. Top area shows Year, Quarter, and Month selection boxes.

Agent Revenue Analysis in USD area shows one graph with Agent Name selection box and one Pie Chart with Year and Month selection boxes.

Shows graph with Sales Revenue and Net Revenue monthly numbers. Total Numbers on Y axis and year and month on X axis. The total in each bar graph with different colors showing the individual numbers that make up the total. Key shows colors for Sales Revenue and Net Revenue.

Shows a Sales Revenue pie chart with key for sample values show. Key includes names of sample Agents.

Chart shows data values. The table includes sample data under columns: Year, Month, Agent Name, Sales Revenue, Sales Revenue LP, Net Revenue, Net Revenue LP, Net Revenue Per Pax, Net Revenue Per Pax LP.

Shows Revenue Analysis area with Flown Revenue Per Sales Region and Service Class Tab. Shows two bar graphs, one two pie charts, a line graph, and a table.

Top area includes Year, Month and Agent Region selection boxes.

Shows graph Flown Revenue. This includes a selection box for Service Class and Agent Region. Flown Revenue on Y axis and month on X axis.

Shows graph with Flown Passenger Count numbers. Includes Service Class and Agent Region selection boxes. Shows Flown Passenger Count on Y axis month on X axis.

Shows two Pie Charts for Flown Revenue and Flown Passenger Count. Selection boxes for Year and Month. Also includes a CSA slider control.

Shows a line graph for Average Fare. Includes Service Class and Agent Region selection boxes. Graph shows Average Fare on Y axis and month and year X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Agent Region, Service Class, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Shows Agent Performance Analysis area with Agent Performance Analysis Confirmed Tab. Shows Time dimension areas with Year, Month and Quarter selection boxes. Shows graph with Confirmed numbers by Company name. Also shows chart with data values: Year, Month, Agent Name, Rank, Confirmed, and two empty columns: Confirmed UP and Confirmed % Change.

Shows Frequent Flyer Customer Mining area with Customer Loyalty Tab. Shows one bar graph and two tables.

In the Customer Loyalty SVM Factor area, the top includes a Target Value selection box.

The bar graph shows SVM Factor: Y axis Attribute Name, and X axis SVM Factor, with values from .00000 to .00004.

Table includes sample values and headings: Attribute Name, Attribute Value, SVM Factor, SVM Factor Rank.

In the Customer Loyalty DT Rules table includes the headings: DT Rule ID, Target Measure Name, Target Measure Value, Customer Profile, Customer Count, and Prediction Count.

Shows Revenue Analysis area with Booking Class Revenue Analysis in USD Tab. Shows two graphs, two pie charts, and a table.

Each graph includes Service class and booking class selection boxes.

Shows graph with Sales Revenue and Net Revenue monthly numbers. Total Numbers on Y axis and year and month on X axis. The total in each bar graph with different colors showing the individual numbers that make up the total.

Shows graph with Sales Revenue and Net Revenue monthly numbers. Total Numbers on Y axis and year and month on X axis.

Each pie chart includes a Year and Month selection box.

Pie chart shows Sales Revenue.

Chart shows data values. The table includes sample data under columns: Year, Month, Service Class, Booking Class, Sales Revenue, Sales Revenue LP, Net Revenue, Net Revenue LP, Net Revenue Per Pax, Net Revenue Per Pax LP, Net Revenue Per Booking, Net Revenue Per Booking LP.

Shows Route Analysis Reports Tab. Page shows a bar graph, a gauge, a graph, and a table.

Top area includes Year and Month selection boxes.

Shows graph with Cancelled, Confirmed, and Booked numbers (total in each bar graph with different colors showing the individual numbers that make up the total). This graph does not show the Y axis or the X axis (graph is not shown with complete information).

Shows a Cancellation Rate Gauge. This includes a speedometer with values up to 33% in shown in green, 33% to 67% in yellow, and 67% to 100% in red.

There is also an empty graph with title Booked % Change LP, Confirmed % Change LP, Cancelled % Change LP.

Chart shows data values. The table includes sample data under columns: Year, Month, Route, Booked Rank of Route Parent, Booked, Booked LP, Booked % Change LP, Confirmed, Confirmed LP, Confirmed % Change LP, Cancelled, Cancelled LP, Cancelled %Change LP, Cancellation Rate.

Shows Customer Interaction Analysis area with Customer Relations Customer Comments Tab. Shows two graphs and a table.

Shows top area with Year, Month, Service Type, and Service selection boxes.

Shows a bar graph with Count Current Month, %Change LP title. This graph includes Service Type and Interaction Reason selection boxes. Y axis on left shows count current month. Y axis on right shows %Change LP (no values are shown). Bars show 12 values for months in CY 2010.

Shows a bar graph with Count Current Month title. Y axis shows values in increments of 4 from 0 to 24. X axis shows Interaction Reason. Shows one bar with value on X axis "Survey" and value shown about 22.

Chart shows data values. The table includes sample data under columns: Year, Month, Service Type, Service, Survey (Count Current Month, Count LP, and % Change LP).

Shows Customer Interaction Analysis area with Customer Satisfaction Onboard Survey Detail Tab. Shows two graphs and a table.

To area includes selection boxes for Year, Month, and Service Type.

Shows a bar graph with Total Survey Count, Satisfaction Rate title. This graph includes a Service Type selection box. Y axis on left shows count (total Survey Count for bars). Includes a line with Y axis on right with Satisfaction Rate (for 0% to 120%). Bars show 12 values for months in CY 2010. Line shows 100% for all values.

Shows empty graph for Satisfaction Growth Rate (%Change LP).

Chart shows data values. The table includes sample data under columns: Year, Month, Country, Loyalty Level, Loyalty Account Count, #Members LP, # Members Growth Rate(% Change LP), Upgrade Count, Upgrade Count LP, Upgrade Rate (%Change LP), Downgrade Count, Downgrade Count LP, Downgrade Rate(% Change LP).

Shows Revenue Analysis area with Flight Revenue Analysis in USD Tab. Shows three graphs and a table.

Top area includes Year, Quarter and Month selection boxes.

Shows graph with Sales Revenue and Net Revenue monthly numbers. Total Numbers on Y axis and year and month on X axis. The total in each bar graph with different colors showing the individual numbers that make up the total.

Shows Booking Analysis area with Group Booking Analysis Tab. Shows dimension areas with Year, Month, Quarter, and Service Class selection boxes. Shows one graph and a table.

Shows graph with Passenger Type Mix. Total Numbers on Y axis, and Year and Month on X (time axis). The total in each bar graph with different colors showing the individual numbers that make up the total). Key shows colors for Group Booked and Individual Booked.

Chart shows data values. The table includes sample data under columns: Year, Month, Service Class, Group Booked, Group Booked LP, Group Booked % Change LP, Individual Booked, Individual Booked LP, Individual Booked % Change LP.

Shows Revenue Analysis area with Sales, Net Revenue per Agency Top 10 Revenue Tab. Shows three graphs and a table.

Top area includes Year and Month selection boxes.

Shows bar graph with Flown Revenue numbers. This includes a selection boxes to select Year and Month. The Y axis shows Rank and Agent Name and the X axis shows Total Numbers for Flown Revenue (from 0 to 7,000).

Shows bar graph with Flown Passenger Count numbers. This includes a selection boxes for Year and Month. Y axis includes the Rank and Agent Name and the X axis axis shows Flown Passenger Count (bars grow to the right).

Shows line graph with Average Fare. Shows Average Fare on Y axis and year and month on X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Rank, Agent Name, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Shows Revenue Analysis area with Flown Revenue Per Sales Region Tab. Shows three graphs and a table.

Top area includes Year, Month and Agent Region selection boxes.

Shows graph Flown Revenue numbers. Total Numbers on Y axis and year and month on X axis.

Shows graph with Flown Passenger Count numbers. Includes Sales Region selection box. Shows Flown Passenger Count on Y axis and year and month on X axis.

Shows graph with Average Fare. Includes Sales Region selection box. Shows Average Fare on Y axis and year and month on X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Sales Region, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Shows Booking Analysis area with Weekly Booking Analysis Tab. Shows two graphs and a table. Each graph includes dimension areas with Year, Month selection boxes.

Shows graph with Cancelled, Confirmed, Booked weekly numbers. Total Numbers on Y axis, and Year and Week on X (data for 4 weeks is shown in bar graphs). The total in each bar graph with different colors showing the individual numbers that make up the total. Key shows colors for Booked, Confirmed, and Cancelled.

Shows a graph with no values: Booked % Change LP, Confirmed % Change LP, Cancelled % Change LP.

Chart shows data values. The table includes sample data under columns: Year, Month, Week, Booked, Booked LP, Booked % Change LP, Confirmed, Confirmed LP, Confirmed % Change LP, Cancelled, Cancelled LP, Cancelled % Change LP. Values are shown for months in CY 2010.

Shows Customer Loyalty area with Earn/Redemption Tab. Shows three graphs and a table.

Top area includes Year, Month, and Loyalty Level selection boxes.

Shows bar graph for The Total Mils (thousands) Amount in Accounts. Includes Loyalty Level selection box. Y axis includes values in increments of 500K.

Shows graph with title The Total Mils Amount Earned in Accounts, The Total Mils Amount.

Shows line graph for Mils/#Members.

Chart shows data values. The table includes sample data under columns: Year, Month, Loyalty Level, The total mils amount in accounts, The total mils amount in accounts LP, The total mils amount in accounts % Change LP. The Total Mils Amount Earned in Accounts, The Total Mils Amount Earned in Accounts LP, The Total Mils Amount Earned in Accounts % Change LP. The total Mils Amount Redeemed in Accounts, The total Mils Amount Redeemed in Accounts LP, The total Mils Amount Redeemed in Accounts % Change LP. Earnings/Redeemed, Mils/#Members

Shows Agent Performance Analysis area with Agent Performance Analysis PCT Cancel Tab. Shows Time dimension areas with Year, Month and Quarter selection boxes. Shows Cancellation Rate graph with sample data for Agent Name and %Cancellation. Also shows a Gauge level indicator with percent values and color indicators (Green, Yellow, and Red) showing the Cancellation Rate with selection boxes for Year, Month, and Agent Name. Also shows chart with data values: Year, Month, Agent Name, Rank, Cancellation Rate, Booked, Cancelled, and Cancellation Rate.

Shows Booking Analysis area with Quarterly Booking Analysis Tab. Shows two graphs and a table. Shows dimension areas with Year and Quarter selection boxes.

Shows graph with Cancelled, Confirmed, Booked quarterly numbers. Total Numbers on Y axis, and Year and Quarter on X axis (time axis). The total in each bar graph with different colors showing the numbers that make up the total. Key shows colors for Booked, Confirmed, and Cancelled.

Shows a graph with no values: Booked % Change LP, Confirmed % Change LP, Cancelled % Change LP.

Chart shows data values. The table includes sample data under columns: Year, Booked, Booked LP, Booked % Change LP, Confirmed, Confirmed LP, Confirmed % Change LP, Cancelled, Cancelled LP, Cancelled % Change LP. Values are shown for quarters in CY 2010 and quarter 1 in CY 2011.

Shows Revenue Analysis area with Sales, Net Revenue Flown Channel Top 10 Tab. Shows three graphs and a table.

Top area includes Year, Month selection boxes.

Shows bar graph with Flown Revenue numbers. This includes a selection box to select the Month. The X axis shows Channel Type and the Y axis shows Total Numbers for Flown Revenue (from 0K to 16K).

Shows bar graph with Flown Passenger Count numbers. This includes a selection box to select the Month. Channel Type on the Y axis and shows Flown Passenger Count on X axis (bars grow to the right).

Shows line graph with Average Fare. Shows Average Fare on Y axis and year and month on X axis.

Chart shows data values. The table includes sample data under columns: Year, Month, Rank, Channel Type, Flown Revenue, Flown Revenue LP, Flown Revenue % Change LP, Flown Passenger Count, Flown Passenger Count LP, Flown Passenger Count % Change LP, and Average Fare.

Shows Customer Interaction Analysis area with Customer Satisfaction Survey Summary Tab. Shows two graphs and a table.

Shows a bar graph with Total Survey Count, Satisfaction Rate title. This graph includes a Service Type selection box. Y axis on left shows count (total Survey Count for bars). Includes a line with Y axis on right with Satisfaction Rate (for 0% to 120%). Bars show 12 values for months in CY 2010. Line shows 100% for all values.

Shows empty graph for Satisfaction Growth Rate (%Change LP).

Chart shows data values. The table includes sample data under columns: Year, Month, Country, Loyalty Level, Loyalty Account Count, #Members LP, # Members Growth Rate(% Change LP), Upgrade Count, Upgrade Count LP, Upgrade Rate (%Change LP), Downgrade Count, Downgrade Count LP, Downgrade Rate(% Change LP).

Shows Customer Loyalty area with Airline Contribution Tab. Shows three graphs and a table.

Top area includes Year, Month, and Loyalty Level selection boxes.

Shows bar graph for Active Member Rate (this graph does not show the Y axis and only shows 4 months data).

Shows graph with title Passenger Count, Active members/Pax. Shows a Loyalty Level selection box. Includes Y axis Passenger Count and X axis year, month. Shows 12 months of data for 2010. Also includes a key, Passenger Count and Active members/Pax

Shows line graph for Flown Revenue. Shows a Loyalty Level selection box. Shows Flown Revenue on Y axis. Shows only 4 months of data.

Chart shows data values. The table includes sample data under columns: Year, Month, Loyalty Level, # Members, #Members LP, Member Growth Rate (%Change LP), Active Member Rate, Active Member Rate LP, Active Members/Pax, Active members/Pax LP, Flown Revenue(act, member)/Flight.

Shows Call Center Performance Analysis area with Call Center Performance Tab. Shows three graphs and a table.

Top area includes Year, Month and Agent Region selection boxes.

Shows bar graph for Total Number of Calls with a selection box for Agent. Total Number of Calls on Y axis and year and month on X axis.

Shows graph with Accessibility. Shows line at 100%. Includes Agent selection box.

Shows graph for Satisfaction. Shows line at 100%. Includes Agent selection box.

Chart shows data values. The table includes sample data under columns: Year, Month, Agent Total Number of Calls, Total Number of Calls LP, Total Number of Calls % Change, Total Number Accessible Calls, Total Number of Accessible Calls LP, Total Number of Accessible Calls % Change, Accessibility, Satisfaction Rate, #Calls/Agent, Total minutes of call duration/Total number of calls.

Shows the Intra-ETL process flow 3 details. This includes Start, and then Level 1, Level 2, and Level 3, with the following steps for these levels:

Level 1: PKG_DWM_SERVICE, PKG_DWM_INTRCTN_RSN, PKG_DWM_INTRCTN_RESULT, then, On successful Completion on to Level 2.

Level 2: PKG_DWD_CUST_SURVEY, PKG_DWD_CALL_CNTR_PERFORMANCE, PKG_DWM_, then On Successful Completion on to Level 3.

Level 3: PKG_DWA_CUST_SURVEY, PKG_DWA_, DLY_CC_PRFM.

Shows Booking Analysis area with Booking Segment Analysis Tab. Shows dimension areas with Year, Quarter, Month, and Segment selection boxes. Shows two graphs and one table. Shows graph with Cancelled, Confirmed, and Booked numbers (total in each bar graph with different colors showing the individual numbers that make up the total), showing one bar for each year and month. There is also an empty graph with title Booked % Change LP, Confirmed % Change LP, Cancelled % Change LP.

Chart shows data values for booked, confirmed and cancelled over Year, Month, and Segment. One with Materialization Rate and Cancellation Rate by year and month. The table includes sample data under columns: Year, Month Segment, Booked, Booked LP, Booked %Change LP, Confirmed, Confirmed % Change LP, Cancelled, Cancelled LP, and Cancelled %Change LP.

Shows Customer Loyalty Analysis area with Membership Development Tab. Shows two graphs and a table.

Top area includes Year, Month, Country, and Loyalty Level selection boxes.

Shows bar graph with Loyalty Account Count, # Members Growth Rate (% Change LP). This bar graph includes selection boxes for Country and Loyally Level. Shows bar graph with Y axis showing # members growth rate values in 400 increments, 400, 800, 1,200, and so on. X axis includes 12 values for months in 2010.

Shows empty graph for Upgrade Count, Downgrade Count

Chart shows data values. The table includes sample data under columns: Year, Month, Country, Loyalty Level, Loyalty Account Count, #Members LP, # Members Growth Rate(% Change LP), Upgrade Count, Upgrade Count LP, Upgrade Rate (%Change LP), Downgrade Count, Downgrade Count LP, Downgrade Rate(% Change LP).

Shows Booking Analysis area with Daily Booking Analysis Tab. Shows dimension areas with Year, and Month selection boxes. Shows a graph and a table.

Shows graph with Ticketed, Net Booked, and Cancelled numbers by day of week (total in each bar graph with different colors showing the individual numbers that make up the total), showing one bar for each day. Key shows colors for Booked, Cancelled, Net Booked and Ticketed.

Chart shows data values by day of week. The table includes sample data under columns: Year, Month, Week, Day of Week Name, Day, Booked, Cancelled, Ticketed, Net Booked, and Materialization Rate.

Shows Frequent Flyer Customer Mining area with the Customer Segments tab. This includes three pie charts: Avg Monthly Group Bookings, Avg Monthly Business Class Bkgs, and Avg Monthly Days Between Bookings and Departure. Key matches colors in pie charts to numbers from 5 to 19.

Shows Intra-ETL process flow 2 details, with Start, Level 1, Level 2, and Level 3.

Level 1: PKG_DWD_LYTLY_PRG, PKG_DWM_LYTLY_LVL, PKG_DWM_FREQNT_FLYER, then On Successful Completion, on to Level 2

Level 2:PKG_DWD_LYLTY_ACCT_BAL_HIST, PKG_DWD_LYLTY_ACCT_LVL_HIST, then On Successful Completion, on to Level 3.

Level 3: PKG_DWA_DLY_LYLTY_ACCT, then On Successful Completion of PKG_DWD_BKG_FACT in PSS Module, PKG_DWA_DLY_LYTLY_ACCT_BKG.

Shows the Non-Frequent Flyer Customer Mining area with the Non-FFP Customer Mining Overall tab. Includes one table.

The table includes headings: Customer Name, Customer Travel Doc Number, Customer SVM Prediction, Customer SVM Prediction Probability, and Customer DT Prediction. Shows 28 rows of sample values.

Shows process flow 1 details in a flow chart. Start goes to level 1 data flow that includes: four packages: PKG_DWM_SEG_PAIR, PKG_DWM_COR_P_CUST, PKG_DWM_TRAF_CATG, and PKG_DWM_SALE_S_CHNL. Then a decision, On Successful Completion. Then six packages, some with following decisions, for the On Successful Completion choice:

PKG_DWM_BKG_CLS_TYP: On successful completion, PGK_DWD_TKT

PKG_DWM_AIP: On successful completion, PKG_DWD_PNR

PKG_DWM_ACCT:

PKG_DWM_ACFT_VER: On successful completion, PKG_DWM_PDL_CHNL

PKG_DWM_FREQ_FLYER: On successful completion, PKG_DWM_BKG_OFF

Then after all of these steps, Level 2 Data Flow, then On Successful Completion decision, continue to step A. Details of step A are shown in the following diagram in Figure 7-3.

Shows Revenue Analysis area with Service Class Revenue Analysis in USD Tab. Shows a bar graph, a line graph, a pie chart, and a table.

Top area includes Year, Quarter, and Month selection boxes.

Shows bar graph for Sales Revenue and Net Revenue total. Revenue on Y axis and year and month on X axis.

Shows line graph for Net Revenue Per Pax, Net Revenue Per Booking. Shows two lines (Net Venue Per Pax and Net Revenue Per Booking). Net Revenue on Y axis and Year and Month on X axis. Includes a selection box for the Service Class.

Shows a pie chart for Sales Revenue. Includes a selection for the year.

Chart shows data values. The table includes sample data under columns: Year, Month, Service Class, Sales Revenue, Sales Revenue LP, Net Revenue, Net Revenue LP, Net Revenue Per Pax LP, Net Revenue Per Booking, Net Revenue Per Booking LP.

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