Cover image for Business Intelligence

Business Intelligence

Author David Loshin
Release Date: 2003/07/01
ISBN: 9781558609167
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Book Description

Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series.

* Provides clear explanations without technical jargon, followed by in-depth descriptions.
* Articulates the business value of new technology, while providing relevant introductory technical background.
* Contains a handy quick-reference to technologies and terminologies.
* Guides managers through developing, administering, or simply understanding business intelligence technology.
* Bridges the business-technical gap.
* Is Web enhanced. Companion sites to the book and series provide value-added information, links, discussions, and more.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Foreword
  5. Preface
  6. Table of Contents
  7. Chapter 1: Business Intelligence and Information Exploitation
  8. Chapter 2: The Value of Business Intelligence
  9. Chapter 3: Planning for Success
  10. Chapter 4: The Business Intelligence Environment
  11. Chapter 5: Business Models and Information Flow
  12. Chapter 6: Data Warehouses, Online Analytical Processing, and Metadata
  13. Chapter 7: Business Rules
  14. Chapter 8: Data Profiling
  15. Chapter 9: Data Quality and Information Compliance
  16. Chapter 10: Information Integration
  17. Chapter 11: The Value of Parallelism
  18. Chapter 12: Alternate Information Contexts
  19. Chapter 13: Data Enhancement
  20. Chapter 14: Knowledge Discovery and Data Mining
  21. Chapter 15: Using Publicly Available Data
  22. Chapter 16: Quick Reference Guide
  23. Index
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