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

Business Wire, Jan 22, 2008

New Guidebook on SPSS Text Mining Outlines Best Practices for Organizations Seeking to Uncover Hidden Value in Unstructured Data

CHICAGO -- SPSS Inc. (Nasdaq:SPSS), 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.

"We found SPSS text mining, either on its own or in conjunction with traditional transactional data mining, can help companies put customer insights in context, identify areas for improvement and better understand, predict and proactively manage customer interactions," said Rebecca Wettemann, vice president of Nucleus Research. "Companies adopting text mining can leverage the growing content on the Web and in customer interactions for competitive advantage."

SPSS Text Mining for Clementine 12.([R]) software gives organizations a unique advantage to extract key concepts, sentiments and relationships in different languages from textual or "unstructured" data, such as email, call center notes, blogs, RSS feeds and surveys. Users can easily extract additional insight and predictive power from these channels to reduce customer churn, improve productivity, detect fraud and increase marketing campaign results.

"The Nucleus Research guidebook confirms our leadership in predictive analytics and demonstrates the power of text mining to help organizations draw more reliable conclusions and take more effective action," said Olivier Jouve, vice president of corporate development for text mining at SPSS. "With an estimated 80 percent of an organization's information contained in text, SPSS text mining quickly and easily analyzes unstructured information to direct, optimize and automate business decisions."

Download Nucleus Research's "Guidebook: SPSS Text Mining" report at http://www.spss.com/pdfs/Guidebook -- SPSS Text Mining.pdf.

For more information on Text Mining for Clementine 12.0, announced Jan. 14, 2008, please visit http://www.spss.com/text_mining_for_clementine/.> About Nucleus Research

Nucleus Research is a global provider of IT research and advisory services that provides CFOs, CIOs and their staffs with the real-world information they need to maximize the business returns from their technology investments, including successfully executing their IT deployments and determining the business value of their initiatives. Nucleus Research is the only technology research firm that is registered with the National Association of State Boards of Accountancy (NASBA). For more information, visit www.NucleusResearch.com.

About SPSS Inc.

SPSS Inc. (Nasdaq:SPSS) is a leading global provider of predictive analytics software and solutions. The company's predictive analytics technology improves business processes by giving organizations forward visibility for decisions made every day. By incorporating predictive analytics into their daily operations, organizations become Predictive Enterprises -- able to direct and automate decisions to meet business goals and achieve a measurable competitive advantage. More than 250,000 public sector, academic and commercial customers rely on SPSS technology to help increase revenue, reduce costs and detect and prevent fraud. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For additional information, please visit www.spss.com.

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