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SQL Server 2008 Data Mining with PowerPivot and Excel 2010

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Presentation delivered at SQL Saturday Atlanta GA -- April 22, 2010

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SQL Server 2008 Data Mining with PowerPivot and Excel 2010

  1. 1. SS2008 Data Mining withExcel 2010 and PowerPivotMark Tabladillo Ph.D.http://marktab.netApril 22, 2010
  2. 2. W. Edwards Deming© 2010 Mark Tabladillo Ph.D. 2
  3. 3. W. Edwards Deming Design and Redesign Consumer research Suppliers of Receipt and Consumers materials and equipment test of materials Distribution A Production, assembly, inspection B C D Tests of processes, machines, methods, costs© 2010 Mark Tabladillo Ph.D. 3
  4. 4. CRISP-DM Version 1.0© 2010 Mark Tabladillo Ph.D. 4
  5. 5. Jeff Hawkins© 2010 Mark Tabladillo Ph.D. 5
  6. 6. Outline What is What is Demos Data Mining PowerPivot© 2010 Mark Tabladillo Ph.D. 6
  7. 7. Technology© 2010 Mark Tabladillo Ph.D. 7
  8. 8. Outline What is What is Demos Data Mining PowerPivot© 2010 Mark Tabladillo Ph.D. 8
  9. 9. Data Mining Definitions• Data mining• Machine Learning• Data mining algorithms typically use estimation or optimization to achieve results (as opposed to only calculations).© 2010 Mark Tabladillo Ph.D. 9
  10. 10. Data Mining Tasks• Supervised – Answer known, what is correlated?• Unsupervised – Answer unknown (unspecified), what are the groups?• Forecasting – Given a trend, what is next? Value Slide© 2010 Mark Tabladillo Ph.D. 10
  11. 11. Data Mining Add-In for Excel• Version 10.00.2531.00 (April 2009)• 32-Bit Add-In• Microsoft .NET Framework 2.0 (32-bit)• Office 2007 (Professional, Professional Plus, Ultimate, Enterprise)• SQL Server Enterprise or Standard (or Developer) 2008 or higher© 2010 Mark Tabladillo Ph.D. 11
  12. 12. The Analyze Tab© 2010 Mark Tabladillo Ph.D. 12
  13. 13. The Analyze Tab Menu Option Data Mining Algorithm Analyze Key Influencers Naïve Bayes Detect Categories Clustering Fill from Example Logistic Regression Forecast Time Series Highlight Exceptions Clustering Scenario Analysis (Goal Seek) Logistic Regression Scenario Analysis (What If) Logistic Regression Prediction Calculator Logistic Regression Shopping Basket Analysis Association Rules© 2010 Mark Tabladillo Ph.D. 13
  14. 14. Data Mining Tab© 2010 Mark Tabladillo Ph.D. 14
  15. 15. Data Mining Tab ∞© 2010 Mark Tabladillo Ph.D. 15
  16. 16. Data Mining Tab© 2010 Mark Tabladillo Ph.D. 16
  17. 17. Outline What is What is Demos Data Mining PowerPivot© 2010 Mark Tabladillo Ph.D. 17
  18. 18. PowerPivot for Excel• Take advantage of familiar Excel tools and features• Process massive amounts of data in seconds• Load even the largest data sets from virtually any source• Use powerful new analytical capabilities, such as Data Analysis Expressions (DAX)• Make the most of multi-core processors and gigabytes of memory© 2010 Mark Tabladillo Ph.D. 18
  19. 19. PowerPivot for Excel• SQL Server• SQL Azure• Oracle, Teradata, Sybase, Informix, IBM DB2• OLEDB/ODBC• Analysis Services (SSAS)• Reporting Services (SSRS)• Excel, Text File© 2010 Mark Tabladillo Ph.D. 19
  20. 20. What is it?© 2010 Mark Tabladillo Ph.D. 20
  21. 21. What is it?© 2010 Mark Tabladillo Ph.D. 21
  22. 22. PowerPivot Reference• http://www.powerpivot.com (Product Site)• http://www.powerpivotpro.com (Blog Site)© 2010 Mark Tabladillo Ph.D. 22
  23. 23. Outline What is What is Demos Data Mining PowerPivot© 2010 Mark Tabladillo Ph.D. 23
  24. 24. W. Edwards Deming© 2010 Mark Tabladillo Ph.D. 24
  25. 25. Resources• MarkTab.NET Links, video resources and information for data mining© 2010 Mark Tabladillo Ph.D. 25
  26. 26. Regroup and Conclusion• Main Points from this Presentation© 2010 Mark Tabladillo Ph.D. 26
  27. 27. Contact Information• Mark Tabladillo Twitter @marktabnet• Also on: Linked In Facebook© 2010 Mark Tabladillo Ph.D. 27

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