Recognizing risk and opportunity with SPSS Modeler Entity Analytics
MARTIN KEEN 1200007VU3 MKEEN@US.IBM.COM | | Tags:  spss redbooks jeff-jonas martin_keen entity-analytics data modeler
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This video is contributed by Jeff Jonas, IBM Fellow and Chief Scientist, IBM Entity Analytics
Data Modelers are routinely challenged as they attempt to integrate diverse enterprise wide data. This is especially the case when this data contains natural variability. For example one record says “Bob” and the other says “Robert”. Sometimes this data contains unintentional errors, such as spelling errors or transposition errors. And some data contains intentional errors – professionally fabricated lies – for example a criminal fabricating a fake identity.
The Entity Analytics feature of IBM SPSS Modeler allows Data Modelers to overcome some of the toughest data preparation challenges with unprecedented ease. Using this feature you can generate high quality analytic models, and as a result organizations will gain better business outcomes to recognize both risk and opportunity. In this video, Jeff shows us how!
For more information on Entity Analytics, refer to the IBM Redguide Using Entity Analytics to Greatly Increase the Accuracy of Your Models Quickly and Easily