1. Data Mining
with Excel 2010
and PowerPivot
Mark Tabladillo Ph.D.
MTabladillo <(at)> solidq.com
September 18, 2010

2. SQL Saturday 46 -- Raleigh NC
#sqlsat46
© 2010 Mark Tabladillo Ph.D.
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3. MarkTab & Data Mining
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4. © 2010 Mark Tabladillo Ph.D.
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5. © 2010 Mark Tabladillo Ph.D.
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6. Outline
© 2010 Mark Tabladillo Ph.D.
What is What is
Demos
Data Mining PowerPivot
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7. Data Mining as a Service
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8. Outline
© 2010 Mark Tabladillo Ph.D.
What is What is
Demos
Data Mining PowerPivot
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9. Data Mining Definitions
• Data mining
• Machine Learning
• Data mining algorithms -- typically use estimation or
optimization to achieve results (as opposed to only
calculations).
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10. Data Mining Tasks
• Supervised
• Answer known, what is correlated?
• Unsupervised
• Answer unknown (unspecified), what are the groups?
• Forecasting
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• Given a trend, what is next?
Value
Slide
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11. Data Mining Add-In for Excel
• Requires Analysis Services instance
• Version 10.00.2531.00 (April 2009)
• 32-Bit Add-In
• Microsoft .NET Framework 2.0 (32-bit)
• Office 2007 (Professional, Professional Plus, Ultimate,
© 2010 Mark Tabladillo Ph.D.
Enterprise)
• SQL Server Enterprise or Standard (or Developer) 2008 or
higher
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12. The Analyze Tab
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13. The Analyze Tab
Menu Option Data Mining Algorithm
Analyze Key Influencers Naïve Bayes
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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
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Shopping Basket Analysis Association Rules

14. Data Mining Tab
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15. Data Mining Tab
Many
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16. Data Mining Capacities
SQL Server 2008 R2 Analysis Services
Maximum sizes/numbers
Object
Maximum data mining models per
2^31-1 = 2,147,483,647
structure
Maximum data mining structures per
© 2010 Mark Tabladillo Ph.D.
2^31-1 = 2,147,483,647
solution
Maximum data mining structures per
2^31-1 = 2,147,483,647
Analysis Services database
Maximum data mining attributes
2^31-1 = 2,147,483,647
(variables) per structure
Reference:
http://www.marktab.net/datamining/index.php/2010/08/01/sql-server-
data-mining-capacities-2008-r2/ 16

17. Data Mining Tab
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18. Outline
© 2010 Mark Tabladillo Ph.D.
What is What is
Demos
Data Mining PowerPivot
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19. 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
© 2010 Mark Tabladillo Ph.D.
source
• Use powerful new analytical capabilities, such as
Data Analysis Expressions (DAX)
• Make the most of multi-core processors and
gigabytes of memory
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20. PowerPivot for Excel Sources
• SQL Server
• SQL Azure
• Oracle, Teradata, Sybase, Informix, IBM DB2
• OLEDB/ODBC
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• Analysis Services (SSAS)
• Reporting Services (SSRS)
• Excel, Text File
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21. PowerPivot Reference
• http://www.powerpivot.com (Product Site)
• http://www.powerpivotpro.com (Blog Site)
© 2010 Mark Tabladillo Ph.D.
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22. Outline
© 2010 Mark Tabladillo Ph.D.
What is What is
Demos
Data Mining PowerPivot
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23. Resources
• MarkTab.NET
Blog, links, video resources and information for
data mining
• Blog: http://marktab.net/datamining
© 2010 Mark Tabladillo Ph.D.
• Twitter: @MarkTabNet
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24. © 2010 Mark Tabladillo Ph.D.
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25. Regroup and Conclusion
• Main Points from this Presentation
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26. Contact Information
• Mark Tabladillo
mtabladillo <{at}> solidq.com
• Also on:
Twitter
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Linked In
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