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Data warehouse designs : achieving ROI with market basket analysis and time variance /
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. I...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
©2012.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 1 | 0 | |a Data warehouse designs : |b achieving ROI with market basket analysis and time variance / |c Fon Silvers. |
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| 520 | |a 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. | ||
| 505 | 0 | |a Ch. 1. Data warehouse ROI -- ch. 2. What is market basket analysis? -- ch. 3. How does market basket analysis produce ROI? -- ch. 4. Why is market basket analysis difficult? -- ch. 5. Market basket analysis solution definition -- ch. 6. Market basket architecture and database design -- ch. 7. ETL into a market basket datamart -- ch. 8. What is time variance? -- ch. 9. How does time variance produce ROI? -- ch. 10. Why is time variance difficult? -- ch. 11. Time variant solution definition -- ch. 12. Time variant database definition -- ch. 13. ETL into a time variant data warehouse -- ch. 14. Market basket analysis in a time variant data warehouse. | |
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