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RPM Part 2: How to use predictive modeling with SAS to analyze crime data

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So… what ‘cha gonna do?  Use it or Peruse it?

SAS Rapid Predictive Modeler (RPM) cranks out models like nobody’s business, and like the academy awards presentation will just “give you the envelope please." If your data is super clean, this might work beautifully for your non mission-critical models.

If you’re more like me though, you’ll want to see what it did and make sure that it makes business sense - totally. You may want to add your own “attitude adjustments” to the model just because RPM can’t possibly know as much about your business as you do. (let’s hope!)

Come with me on an exciting journey to discover some of the secrets hidden in RPM land…

 

Here's Part 1 of my video and blog on descriptive modeling using SAS. Stay tuned for Part 3.

You can also learn more in our courses, Rapid Predictive Modeling for Business Analysts and Applied Analytics Using SAS Enterprise Miner.

 

Tags predictive modeling
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About Author

Peter Christie

Sr. Analytical Training Consultant

Peter Christie joined the Statistical Training department at SAS in 2008 as a course developer and instructor. Prior to SAS, he worked in the entertainment, retail, banking, and pharmaceutical industries. He earned an MBA from the University of North Carolina at Chapel Hill. His areas of interest include data mining, business analytics and predictive modeling. When not working with customers, Peter is either in training for a marathon or playing in a 10 piece Jazz band.

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