SPSS RELEASES NEW VERSION OF CLEMENTINE

E-businesses are bombarded daily with millions of pieces of information about visitors to their Web sites. Even with traditional data mining tools, deciphering this flood of data--and ultimately turning it into more profitable customer relationships--is a daunting task. Clementine 6.0, the latest version of the award-winning data mining workbench from SPSS Inc makes the task much easier with techniques and data mining application templates designed specifically for Web mining. Clementine 6.0 is now shipping.

"Everyone knows that vital information which can improve profitability is buried in Web logs and online registrations," said Peter Caron, SPSS senior marketing manager. "What everyone doesn't know is how to reveal this information and turn it into cross-selling opportunities, increased customer retention and more efficient use of Web resources. The Web mining user guide, application templates and data samples found in Clementine 6.0 provide a detailed road map which businesses can follow to achieve these results.

"Standard Web reporting tools can provide a snapshot of online customers, but they only look in one direction--backward," Caron continued. "Clementine's forward-looking models go way beyond static reports to discover what customers want and predict what they will do. The need for these predictive capabilities is evident in the dramatic increase in Clementine sales, which grew by 122 percent during the first nine months of 2000 compared to the same period in 1999."

Clementine takes a visual, interactive approach to data mining. Users build a map of their data mining project--called a "stream"--by selecting icons that represent steps in the process. Along the way, users are invited to include their business knowledge for better results. To help ensure a successful and productive data mining project, Clementine includes data mining application templates--collections of streams, sample data and documentation commonly used in a specific applications.

Clementine 6.0 is the first version to offer a Web mining application template. Whether or not they have any previous experience mining Web data, organizations can use this template to get a jump-start on their Web mining project. Clementine now also includes a data mapping tool to aid users in applying the templates to their own data. In addition to the Web mining application template, Clementine also has a template for use with telecommunications data mining projects.

The latest version of Clementine also offers:

• Powerful new algorithms - The addition of new linear regression, logistic regression, multinomial logistic regression, C&RT, cluster and factor analysis algorithms means Clementine users are sure to find the right data mining technique for their application.
• Improved scalability - Clementine's operation on local machines has been improved to enhance scalability and make more efficient use of computing resources
• Improved deployment - Clementine Solution Publisher -- Clementine's newly architected deployment tool -- eases delivery of streams for decision making. Regression, multinomial logistic regression and C&RT models now can be exported as XML files for more flexible delivery options.
• SAS Import and Export Nodes - Clementine now allows importing from and exporting to SAS software for Windows versions 6, 7 and 8.
• Enhanced user interface - Clementine's stream panes offer user-activated scroll bars and automatic scrolling when nodes/connections are dragged out of the window.

About Clementine

Clementine, SPSS' enterprise-strength data mining workbench, helps businesses improve the profitability of customer relationships through in-depth understanding of data. Organizations use the insight gained from Clementine to retain profitable customers, identify up- and cross-selling opportunities, attract new customers, detect fraud, reduce risk and improve government service delivery. Clementine can help businesses better understand their customers' online behavior and, as a result, improve Web site design, increase e-store sales and deliver online services more effectively.

Clementine combines two valuable assets--data and business knowledge--to create powerful predictive models which answer real business questions such as "What customers are in danger of leaving?" or "Who is a safe credit risk?" At each point of the data mining process, Clementine's visual interface invites users' specific business expertise. Clementine's many modeling techniques, such as prediction, classification, segmentation and association detection, lead to the most powerful, accurate model or combination of models, producing superior results. Once models are created, Clementine Solution Publisher enables their delivery enterprise-wide to decision makers or a database.

Clementine was the first data mining workbench aimed at business users and is consistently acknowledged by users and analysts as the leading visual rapid modeling environment for data mining. Clementine has established a leading position in the data mining market and is used in a wide range of industries including e-commerce, telecommunications, finance, retail, health care, government and higher education. More than 500 organizations worldwide use Clementine including British Telecommunications, Unilever, Provident Financial, Raydium and e-Dialog.

About SPSS Inc

SPSS Inc enables organizations to develop more profitable customer relationships by providing analytical solutions that discover what customers want and predict what they will do. The company delivers analytical solutions at the intersection of customer relationship management and business intelligence. SPSS analytical solutions integrate and analyze market, customer and operational data in key vertical markets worldwide including: telecommunications, health care, banking, finance, insurance, manufacturing, retail, consumer packaged goods, market research and the public sector.

Headquartered in Chicago, SPSS has more than 40 offices, over 900 employees and 1999 revenues of $142 million. The company also has won the following awards: No. 77 on Forbes 2000 list of the "200 best small companies" and as the 22nd most profitable company on the Nasdaq exchange by Equities magazine; 1999 World Class Solution award in business intelligence and named "best decision support system for business intelligence" in the 1999 RealWare award competition; No. 12 on the 2000 DM Review 100; placed No. 16 on the 2000 Soft-letter 100, a ranking of the top 100 personal computer software companies in the United States; and No. 115 in the 2000 Software 500, a ranking of the world's largest software vendors by Software Magazine; listed on Working Mother magazine's 100 Best Companies for Working Mothers for 2000. For more information, visit www.spss.com.

Contact SPSS Inc, Chicago, Susan Kalell, 800-525-4980, pr@spss.com.