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Advancements in SPSS 16.0 Expand Analytical Power of Statistical Software

SPSS Inc., a leading worldwide provider of predictive analytics software, released SPSS 16.0, an enhanced version of its flagship statistical software suite of products. New capabilities in SPSS 16.0 integrate this product with SPSS' Predictive Enterprise Services (PES) analytics platform to direct and automate decisions.

This use of predictive analytic technology produces a measurable return on investment and provides SPSS customers with a competitive advantage. SPSS 16.0 targets the needs of organizations that value predictive modeling capabilities as corporate assets. With PES - an enterprise-level predictive platform addressing key requirements supporting the widespread use and implementation of predictive analytics - businesses utilize statistics to tap into customers' attitudinal and behavioral data. The benefits achieved include detecting fraud, increasing revenues through cross-selling and up-selling, and improving overall business process efficiencies and outcomes. The SPSS 16.0 release features a new user interface written completely in Java, making the software more flexible and easier to use.

Other major enhancements include significantly expanded analytical capabilities, enhanced data management, improved programmability and greater performance and scalability in enterprise applications.

Ken Kirsten, director of analytic consulting for The Nielsen Company, said, "Businesses that incorporate SPSS 16.0 into their technology stack will gain a real competitive advantage as they'll have the suite of tools necessary to become predictive enterprises. I use SPSS for analysis that simply can't be done in a simple spreadsheet. This newest version will help me do my job more efficiently and productively."

Added Bob Muenchen, statistical consultant and manager of the University of Tennessee Statistical Consulting Center, "The SPSS name has been well-known at major colleges and universities around the world for almost four decades now. Students prefer SPSS because it lets them spend their time learning research methods rather than computer programming. SPSS offers a unique combination of ease-of-use for beginners, while providing advanced users programmability and the ability to handle massive data sets."


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