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SPSS Announces Winners of 2004 SPSS Insight Awards™, Recognizing Best Practices in the Use of Predictive Analytics
Source: www.spss.com
Copyright SPSS, Inc. 2004
11/30/04

This is a dated announcement. The material in this announcement could be superceded by more current announcements.

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

CHICAGO, 10/25/04 —
SPSS DIRECTIONS USER CONFERENCE, LAS VEGAS - SPSS Inc. (NASDAQ: SPSS), a leading provider of predictive analytics technology and services, announced the winners of the 2004 SPSS Insight Awards™ 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 Amos™ for structural equation modeling, Clementine® for data mining and SPSS® for statistical analysis, 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® statistical analysis software. The cardiac surgery team at Sequoia Hospital has relied on SPSS statistical software and its modules for clinical data analysis and management
since 2000. By recording patients’ information and treatments in SPSS, doctors learn from the past and are better equipped to administer the most effective treatment.

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. Recruit Company Ltd used SPSS text mining software, LexiQuest Mine™ and Clementine to dissect resumes of applicants, and analyze the text of each resume, in order to identify trends across candidates. Recruit Company used SPSS technology to identify the key terms that distinguish candidates, and what common denominators existed among those candidates selected for employment. With SPSS predictive analytics, Recruitment Company recruiters could
better understand the terms that help HR managers to select appropriate 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). VRC is an integrated research framework that enables product and brand managers to answer pricing
questions to gain better marketing positioning. For example a sales representatives, can enter scenarios such as the impact of increasing price by one percent; or can price reduction compensate the weakness of a brand.

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; it also supports strategic and tactical business decisions. Every facet of the organization, from finance, to operations, to accounting, to merchandising, has been
positively affected by the implementation of this SPSS analytic solution. Examples of improved efficiencies include a reduction in the time it takes to compute projections (reduced from 20-24 hours to two hours), and a year-end process in the benefits department was reduced from
400 hours to eight hours. The solution has played a large part in keeping Save Mart ahead of their competition.