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Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology

You're reading from   Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology Take your data warehousing and business intelligence to the next level with this practical guide to Oracle Database 11g. Packed with illustrations, tips, and examples, it has over 80 advanced recipes to fine-tune your skills and knowledge.

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Product type Paperback
Published in Jul 2012
Publisher Packt
ISBN-13 9781849685481
Length 368 pages
Edition 1st Edition
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Author (1):
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John Heaton John Heaton
Author Profile Icon John Heaton
John Heaton
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Table of Contents (21) Chapters Close

Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
1. Preface
1. Defining a Program FREE CHAPTER 2. Establishing the Project 3. Controlling the Project 4. Wrapping Up the Project 5. The Blueprint 6. Analyzing the Requirements 7. Architecture and Design 8. Analyzing the Sources 9. Analyzing the Data 10. Constructing the Data Model 11. Defining the ETL/ELT 12. Enhancing the Data 13. Optimizing the Access 14. Security

Adding metrics to your semantic data model


Adding metrics or calculations to your business events allows the business to start seeing what information will be available within the semantic data model.

Getting ready

Identify all the attributes within your reports that are embedded in business rules, calculations, or those belonging to the business events within your semantic data model.

How to do it...

Metrics in an organization can be defined in many different ways. Traditionally, these are thought of as Key Performance Indicators (KPIs). KPIs are normally very high-level metrics with distinct meanings which are derived from multiple metrics. It is important to understand the metrics which make up these KPIs, and record them within your semantic model. The KPIs should be driven from your business rules as defined in the Defining the business rules recipe of this chapter.

Metrics can be additive (used in a calculation) or non-additive (textual or statistical), for example, Total Invoice Amount...

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