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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

Chapter 6. Analyzing the Requirements

Business requirements in a business intelligence and data warehouse project can be very high level and vague. Gaining an understanding of the business processes and persistence of data can help considerably in obtaining and decomposing valued business requirements. The following recipes help in obtaining, categorizing, and prioritizing requirements:

  • Decomposing the reports and requirements

  • Defining the business rules

  • Categorizing the requirements by business drivers

  • Prioritizing the requirements

  • Adding hierarchies to your semantic data model

  • Adding metrics to your semantic data model

  • Defining your data dictionary

  • Defining your security requirements

  • Defining your data retention requirements

Introduction

Once the blueprint is complete and prioritized, it is time to start the detailed requirement gathering. Requirements can be vague and limited in a business intelligence and data warehousing project. It is important to align the information collected during requirement...

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