金融软件系统建设参考资料
Business Intelligence for the Enterprise
By Mike Biere
Publisher : Prentice Hall PTR
Pub Date : June 04, 2003
ISBN : 0-13-141303-1
Pages : 240
This book offers a true enterprise view of business intelligence. IBM expert Mike Biere shows managers how to create a coherent BI plan that reflects the needs of users throughout the organization-and then implement that plan successfully. Biere explains how to objectively assess the business case for BI, and identifies proven solutions for the obstacles that lead many BI projects to fail. Coverage includes:
Setting appropriate expectations and goals for your BI project
Understanding how the key components of a complete BI solution fit together
Designing effective BI solutions-including content management, handling unstructured data, and end-user segmentation
Providing effective support for BI end users
Introducing Corporate Performance Management (CPM): an executive's view of BI
Previewing tomorrow's "next wave" in BI solutions
Comprehensive checklists for planning your BI project
Table of Contents
Copyright
IBM DB2 Certification Guide Series
Chapter 1. Introduction to Business Intelligence
Chapter 2. Defining Business Intelligence
Query Tools
Data Warehouse Processes
BI Biases and Internal Squabbles
Establishing a More Global BI Perspective
BI at the Business Unit and Departmental Levels
BI at the Enterprise Level
Hindsight "Rules"
Intranets/Extranets—Data and Analysis Within You and Without You
Know Your User Base
Chapter 3. The History of Business Intelligence
The Early End-User Computing Era
The Information Center Era
Charge-Back Systems
Personal Computers
The Client/Server Wave
The Information Warehouse Concept
The Data Warehouse Era of BI
Advanced Analytics: Delivering Information to "Mahogany Row"
BI Milestones
Chapter 4. The Impact of Business Intelligence
The IT Department and Business Intelligence
Non-Technical End Users and Business Intelligence
Business Analysts and Business Intelligence
External End Users—The Extranet Environment
Business Intelligence and the Enterprise
Chapter 5. Content Management and Unstructured Data
Industry-Related Content Management Areas
Why a Relational Database Can't Solve This
Chapter 6. End-User Segmentation
End-User Segmentation
End-User Attributes
A Holistic View of the Users
Chapter 7. Elements of Business Intelligence Solutions
Data Warehouse versus Data Marts
Setting Up Information for BI Processing
Data Extraction, Transformation, and Cleansing
The Data Side of BI
The Analytics Tools
End-User Assumptions about Tools
The Spreadsheet's Role in BI
The Three Major Categories of BI Analytics Tools
Query and Reporting Tools
Time and Date Elements in Reporting
OLAP Tools
Data Mining Tools
Advanced Analytics—Executive Information Systems (EIS)
Chapter 8. Justifying Business Intelligence Solutions
ROI: Return on Investment
Business Impact Justification
The True Costs of BI
Big Purchase with No Plan
Bringing in the "Hired Guns"
Your Justification Scenario
Chapter 9. Corporate Performance Management (CPM) and the Executive View of Business Intelligence
Data Readiness and Availability for CPM
Role-Based Analytics
Pushing Information: Proactive BI—Effective Communication
Buy or Build CPM
A Viable Approach to CPM
Chapter 10. Platform Selection, Technology Biases, and Other "Traps"
Traditional IT Traps
The BI Trap
Evaluating Analytics Usage for User Populations
The Database Is the Most Critical Choice
How Well Do Your Approved BI Tools Support the Database Decision?
A "Typical" History Lesson
Chapter 11. End-User Support and Productivity
BI Products Are Still Computer-Based
A "Straw Person" Scenario
Setting Up BI Support
Chapter 12. Implementation for Business Intelligence Solutions
Back Up and Restore What You Have Already Done
System Sizing, Measurements, and Dependencies
Setting Early Expectations and Measuring the Results
End-User Provisos
Recap the First Project, and Tune Your Support and Implementation Models
OLAP Implementations
Expanding BI Based on What You Now Know
Establishing a BI Competency Center (BICC)
Chapter 13. Planning for the Future—What's the Next Wave of Business Intelligence?
Advanced Analytics
Database Enhancements and BI
Thinner and Thinner Clients
Data Formats with BI Aspects
Portals
BI Networks
Conclusion
Appendix A. Checklist for BI Planning
Corporate BI Strategy
End-User Support Strategy
Database and Tools Strategy
Intranet and Extranet Strategy
About the Author