Integrating SPSS predictive analytics into Business Intelligent applications, Part 2, Integrating the scoring service into an ILOG JRule

From the developerWorks archives

Andrew Flatt

Date archived: November 23, 2016 | First published: December 14, 2011

In Part 2 of this series, you'll learn how to use an SPSS predictive scoring service as an additional factor when quoting a premium for an insurance policy. In the scenario, predictive analytics are used to streamline the process of customer acquisition, by predicting the future risk behavior of a customer, thus leading to informed pricing decisions that mitigate future risk. Using the insurance quotation scenario from Part 1, you'll learn how to use an SPSS scoring service and WebSphere® ILOG® JRules, to create and deploy business rules that have a predictive dynamic factor. This content is part of the IBM Business Process Management Journal.

This content is no longer being updated or maintained. The full article is provided "as is" in a PDF file. Given the rapid evolution of technology, some steps and illustrations may have changed.



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Zone=Business process management, Big data and analytics
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ArticleTitle=Integrating SPSS predictive analytics into Business Intelligent applications, Part 2: Integrating the scoring service into an ILOG JRule
publish-date=12142011