Data Warehouse Designs : Achieving ROI with Market Basket Analysis and Time Variance
By: Silvers, Fon.Material type: TextSeries: eBooks on Demand.Publisher: Hoboken : Taylor and Francis, 2012Description: 1 online resource (286 p.).ISBN: 9781439870778.Subject(s): Data mining | Data warehousing | Database designGenre/Form: Electronic books.Additional physical formats: Print version:: Data Warehouse Designs : Achieving ROI with Market Basket Analysis and Time VarianceDDC classification: 005.74 | 005.745 LOC classification: QA76.9 .D26Online resources: Click here to view this ebook.
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|Electronic Book||UT Tyler Online Online||QA76.9 .D26 (Browse shelf)||http://uttyler.eblib.com/patron/FullRecord.aspx?p=840398||Available||EBL840398|
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|QA76.9.C66 S884 2011 The net effect :||QA76.9.C66 .W384 2013 Data Security Breaches and Privacy in Europe.||QA76.9. D24 R53 2014 Guerrilla Analytics :||QA76.9 .D26 Data Warehouse Designs :||QA76.9.D26 -- .M67 1993 Information Structure Design for Databases :||QA76.9.D26 -- D38 2009 Database Design :||QA76.9.D26D495 2016 Developing Essbase Applications :|
Front Cover; Dedication; Contents; Preface; Acknowledgments; The Author; 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 DefinitionChapter 13: ETL into a Time Variant Data Warehouse; Chapter 14: Market Basket Analysis in a Time Variant Data Warehouse; References
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
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