Data Warehouse Designs: Achieving ROI with Market Basket Analysis and Time Variance presents an innovative, soup-to-nuts approach that successfully combines what was previously incompatible, without degradation, and uses the relational architecture already in place. Built around two main chapters, Market Basket Solution Definition and Time Variant Solution Definition, it provides a tangible how-to design that can be used to facilitate MBA within the context of a data warehouse.
Table of Contents
Chapter 1: Data Warehouse ROI Chapter 2: What Is Market Basket Analysis? Chapter 3: How Does Market Basket Analysis Produce ROI? Chapter 4: Why Is Market Basket Analysis Difficult? Chapter 5: Market Basket Analysis Solution Definition Chapter 6: Market Basket Architecture and Database Design Chapter 7: ETL into a Market Basket Datamart Chapter 8: What Is Time Variance? Chapter 9: How Does Time Variance Produce ROI? Chapter 10: Why Is Time Variance Difficult? Chapter 11: Time Variant Solution Definition Chapter 12: Time Variant Database Definition Chapter 13: ETL into a Time Variant Data Warehouse Chapter 14: Market Basket Analysis in a Time Variant Data Warehouse
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