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Nucleus Research Finds SPSS Text Mining Software Reduces Customer Churn By More Than 50 Percent

January 22, 2008. New Guidebook on SPSS Text Mining Outlines Best Practices for Organizations Seeking to Uncover Hidden Value in Unstructured Data

CHICAGO--(BUSINESS WIRE)--SPSS Inc. (Nasdaq:SPSS - News), a leading global provider of predictive analytics software and solutions, announced today that Nucleus Research, a leading IT research analyst firm, found that text mining technology from SPSS can reduce customer churn by more than 50 percent when properly implemented as part of an overall customer satisfaction strategy. Nucleus Research also found that text mining functionality increases analyst productivity by up to 50 percent.

The findings are documented in "Guidebook: SPSS Text Mining," which identifies key best practices, missteps to avoid and fine-tuning tips organizations can use to integrate text mining into their analyses to better understand customers� attitudinal and behavioral patterns and then make better business decisions.

Download Nucleus Research's "Guidebook: SPSS Text Mining" report

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