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LAS VEGAS--(BUSINESS WIRE)--Oct. 25, 2004--

Grand Prize Winner GAGA Digital Brain Recognized at SPSS Directions User Conference

SPSS Inc. (NASDAQ:SPSS), a leading provider of predictive analytics technology and services, announced the winners of the 2004 SPSS Insight Awards(TM) today at the SPSS Directions User Conference being held this week in Las Vegas. In its inaugural year, the SPSS Insight Awards recognize SPSS customers that have achieved significant business results by applying SPSS predictive analytics.

GAGA Digital Brain, a division of Japan's largest movie distributor, was presented with the SPSS Insight Awards grand prize for using SPSS predictive analytics to create a new methodology for forecasting the success of Hollywood movies in Japan. Using the SPSS data mining workbench, Clementine(R), as a predictive analytics engine, GAGA Digital Brain developed a Web-based system called Advanced Data Analysis on the Market (ADAM), which provides moviegoers with movie recommendations and gathers information about their movie preferences from hundreds of weekly questionnaires about new movies. With the successful deployment of ADAM, GAGA is able to predict the likely success of a new Hollywood movie in the Japanese market and is expecting a 9.4 percent increase in company sales and an 18.1 percent increase in return on equity in the 2003/2004 financial year. In addition, GAGA Digital Brain Inc. has created a new market segment and established the company as the first organization in Japan specializing in research and marketing services for moviegoers.

Other SPSS Insight Awards winners include:

Sequoia Hospital, California's oldest district hospital, for improving patient care with the use of SPSS(R) statistical analysis software.

Recruit Company Ltd., a leading human resources recruitment company based in Japan, uses SPSS data mining and text mining technologies to better understand what motivates employers to hire mid-level candidates.

Interscope Inc., a market research firm based in Japan uses Clementine to support a product pricing and profit optimization methodology called Virtual Retail Conjoint (VRC).

Save Mart Supermarkets, based in Modesto, CA, first used SPSS technology as a Y2K solution to reproduce an existing non-compliant weekly performance report. Today, the solution has evolved into a tool that has added dollars to the bottom line by changing the way Save Mart looks at their business;

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