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Pitfalls of Variance Analysis.ģ.5 Act and Adjust: What Do We Need to Do Differently?. Opening Vignette: Double Down at Harrah’s.įinancial Planning and Budgeting.
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The Future of Data Warehousing.Ĭhapter 3 Business Performance Management. Massive Data Warehouses and Scalability.Ģ.7 Real-Time Data Warehousing.Ģ.8 Data Warehouse Administration, Security Issues, and Future Trends. Representation of Data in Data Warehouse.Īnalysis of Data in Data Warehouse.Ģ.6 Data Warehousing Implementation Issues. Which Architecture Is the Best?.Įxtraction, Transformation, and Load (ETL).Ģ.5 Data Warehouse Development.ĭata Warehouse Development Approaches.Īdditional Data Warehouse Development Considerations. Operational Data Stores (ODS).Įnterprise Data Warehouses (EDWs).Ģ.2 Data Warehousing Process Overview.Ģ.3 Data Warehousing Architectures.Īlternative Data Warehousing Architectures.
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Opening Vignette: DirecTV Thrives with Active Data Warehousing.Ĭharacteristics of Data Warehousing. Justification and Cost–Benefit Analysis.Įnd of Chapter Application Case. The Typical BI User Community.Īppropriate Planning and Alignment with the Business Strategy. The Business Pressures–Responses–Support Model.Ī Cyclical Process of Intelligence Creation and Use.ġ.4 Transaction Processing versus Analytic Processing. Opening Vignette: Norfolk Southern Uses Business Intelligence for Decision Support to Reach Success. Chapter 1 Introduction to Business Intelligence.