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Chapter 1: Data Warehousing Perspectives 11
Chapter 2: Business Case and Project Management 25
Chapter 3: Business Architecture and Requirements 49
Chapter 4: Data Warehousing Technical Architecture 69
Chapter 5: Data Attributes 101
Chapter 7: Dimensional Modeling 145
Chapter 8: Data Governance and Metadata Management 175
Chapter 9: Data Sources and Data Quality Management 183
Chapter 10: Database Technology 195
Chapter 11: Data Integration 211
Chapter 12: Business Intelligence Operations and Tools 227
Chapter 13: Number Crunching Part 1: Statistics 237
Chapter 14: Number Crunching Part 2: Data Mining 247
Chapter 15: Number Crunching Part 3: An Analytic Pattern 257
Chapter 16: Presenting Data: Scorecards and Dashboards 263
Chapter 17: Business Intelligence Applications 279
Chapter 18: Customer Analytics 285
Chapter 19: Testing, Rolling Out, and Sustaining the Data Warehouse 299
Appendix B: Suggested Readings 325