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- 2007275525 contributor B10820712.
- 2007275525 contributor B10820713.
- 2007275525 created "2006.".
- 2007275525 date "2006".
- 2007275525 date "2006.".
- 2007275525 dateCopyrighted "2006.".
- 2007275525 description "Pt. 1. Data preparation: business point of view -- ch. 1. Analytic business questions -- Ch. 2. Characteristics of analytic business questions -- Ch. 3. Characteristics of data sources -- Ch. 4. Different points of view on analytic data preparation -- Pt. 2. Data structures and data modeling -- Ch. 5. The origin of data -- Ch. 6. Data models -- Ch. 7. Analysis subjects and multiple observations -- Ch. 8. The one row-per-subject data mart -- Ch. 9. The multiple-rows-per-subject data mart -- Ch. 10. Data structures for longitudinal analysis -- Ch. 11. Considerations for data marts -- Ch. 11. Considerations for predictive modeling -- Pt. 3. Data mart coding and content -- Ch. 13. Accessing data -- Ch. 14. Transposing one- and multiple-rows-per-subject data structures -- Ch. 15. Transposing longitudinal data -- Ch. 16. Transformations of interval-scaled variables -- Ch. 17. Transformations of categorical variables -- Ch. 18. Multiple interval-scaled observations per subject -- Ch. 19. Multiple catagorical observations per subject -- Ch. 20. Coding for predictive modeling -- Ch. 21. Data preparation for multiple-rows-per-subject and longitudinal data marts -- Pt. 4. Sampling, scoring, and automation -- Ch. 22. Sampling -- Ch. 23. Scoring and automation -- Ch 24. Do's and don'ts when building data marts -- Pt. 5. Case studies.".
- 2007275525 extent "xxii, 408 p. :".
- 2007275525 identifier "1599940477".
- 2007275525 identifier "9781599940472".
- 2007275525 isPartOf "SAS Press series".
- 2007275525 issued "2006".
- 2007275525 issued "2006.".
- 2007275525 language "eng".
- 2007275525 publisher "Cary, NC : SAS Institute,".
- 2007275525 subject "Business Data processing.".
- 2007275525 subject "Commercial analysis.".
- 2007275525 subject "Data marts.".
- 2007275525 subject "Data mining.".
- 2007275525 subject "Electronic data processing.".
- 2007275525 subject "Enterprise Miner.".
- 2007275525 subject "HF5548.2 .S875 2006".
- 2007275525 subject "SAS (Computer file)".
- 2007275525 subject "Time-series analysis.".
- 2007275525 tableOfContents "Pt. 1. Data preparation: business point of view -- ch. 1. Analytic business questions -- Ch. 2. Characteristics of analytic business questions -- Ch. 3. Characteristics of data sources -- Ch. 4. Different points of view on analytic data preparation -- Pt. 2. Data structures and data modeling -- Ch. 5. The origin of data -- Ch. 6. Data models -- Ch. 7. Analysis subjects and multiple observations -- Ch. 8. The one row-per-subject data mart -- Ch. 9. The multiple-rows-per-subject data mart -- Ch. 10. Data structures for longitudinal analysis -- Ch. 11. Considerations for data marts -- Ch. 11. Considerations for predictive modeling -- Pt. 3. Data mart coding and content -- Ch. 13. Accessing data -- Ch. 14. Transposing one- and multiple-rows-per-subject data structures -- Ch. 15. Transposing longitudinal data -- Ch. 16. Transformations of interval-scaled variables -- Ch. 17. Transformations of categorical variables -- Ch. 18. Multiple interval-scaled observations per subject -- Ch. 19. Multiple catagorical observations per subject -- Ch. 20. Coding for predictive modeling -- Ch. 21. Data preparation for multiple-rows-per-subject and longitudinal data marts -- Pt. 4. Sampling, scoring, and automation -- Ch. 22. Sampling -- Ch. 23. Scoring and automation -- Ch 24. Do's and don'ts when building data marts -- Pt. 5. Case studies.".
- 2007275525 title "Data preparation for analytics using SAS / Gerhard Svolba.".
- 2007275525 type "text".