Chapter 3

Introduction to the Orion Star Data

Section 3.1

Overview

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Course DataThe data used in this course is from Orion Star Sports & Outdoors, which is a fictitious retail company selling sports and

outdoor products has retail stores in many countries throughout the

world sells products in retail stores, through catalog mail

orders, and over the Internet utilizes the Orion Star Club to track purchases,

enabling analyses of buying patterns and providing a basis for CRM activities and targeted product offerings.

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Orion Star – Organization The Orion Star organization hierarchy has several levels: country company department group.

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Orion Star – EmployeesInformation stored for each employee includes: employee ID job title hire date termination

date address gender salary.

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Approximately 5,500 different sports and outdoors products are offered at Orion Star. The products are organized into the hierarchy of: product

line product

category product

group product.

Orion Star – Merchandise

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Orion Star – MerchandiseEach product has a cost and sales price. Price change history is maintained by recording start and end datesfor each price.

All prices are in U.S. dollars.

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Orion Star – CustomersOrion Star has approximately 100,000 customers spread across many countries. Customer address information is stored in a number of tables and includes street city state postal code country.

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Orion Star – OrdersMost of the approximately 750,000 orders are sales to Orion Star Club members for whom customer information is recorded.

Each order contains one or more order lines (one line per product purchased).

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Orion Star – SuppliersAll of the Orion Star products have a pointer to a supplier. There are 64 suppliers, based in different countries, but only one supplier per product.

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Orion Star Information ConsumersThere are many people and groups at Orion Star who use SAS software, including information systems business users management and

C-level executives.

Section 3.2

Data Models

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Orion Star – Data ModelsThe Orion Star data is organized two ways:

Normalized Normalized (relational) (relational) modelmodel

represents the extracts from OLTP, represents the extracts from OLTP, ERP, and other systems. This data can ERP, and other systems. This data can be transformed, cleansed, and loaded be transformed, cleansed, and loaded into a data warehouse.into a data warehouse.

Dimensional Dimensional modelmodel

represents a data warehouse that represents a data warehouse that consists of a star schema design. This consists of a star schema design. This data is well suited for use in business data is well suited for use in business intelligence applications and for ad hoc intelligence applications and for ad hoc querying and reporting.querying and reporting.

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The Normalized (Relational) Data Model

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The Dimensional Data Model

Section 3.3

Case Study

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Case Study ScenarioThe remainder of this course uses the SAS BI Client Tools in a case study scenario to build the Orion Star Marketing Data Mart by defining data libraries registering source tables defining target tables creating ETL jobs creating OLAP cubes.

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Case Study ScenarioOnce the Marketing Data Mart is built, it is used to create stored processes view and analyze data create information maps create reports use the information delivery portal.

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Case Study Scenario Flowchart

Register Source Tables

DefineData Libraries

CreateETL Jobs

DefineTarget Tables

CreateOLAP Cubes

View and AnalyzeData

CreateStored Processes

Create Reports

CreateInformation Maps

Use the InformationDelivery Portal

Metadata