Market Basket Analysis ‎(‎MBA‎)‎ provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage‎.‎ Time Variant data enables data warehouses to directly associate events in the past with the participants in each individual event‎.‎ In the past however‎,‎ the use of these powerful tools in tandem led to performance degradation and resulted in unactionable and even damaging information‎.‎ 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.‎ * Presents a solution for creating home‎-grown MBA data marts * Includes database design solutions in the context of Oracle‎,‎ DB2‎,‎ SQL Server‎,‎ and Teradata relational database management systems ‎(‎RDBMS‎)‎ * Explains how to extract‎,‎ transform‎,‎ and load data used in MBA and Time Variant solutions The book uses standard RDBMS platforms‎,‎ proven database structures‎,‎ standard SQL and hardware‎,‎ and software and practices already accepted and used in the data warehousing community to fill the gaps left by most conceptual discussions of MBA‎.‎ It employs a form and language intended for a data warehousing audience to explain the practicality of how data is delivered‎,‎ stored‎,‎ and viewed‎.‎ Offering a comprehensive explanation of the applications that provide‎,‎ store‎,‎ and use MBA data‎,‎ Data Warehouse Designs provides you with the language and concepts needed to require and receive information that is relevant and actionable‎.‎