ENHANCED DATA MINING SOFTWARE SIMPLIFIES CRM ANALYTICS.

Many organizations--from financial firms to telecommunications companies to retail outfits--use Clementine to increase customer lifetime value by better attracting, cross-selling and retaining customers. Companies that want to realize the same success can now do so more easily than ever before with the release of Clementine 6.5, the latest version of the data mining software from SPSS Inc. (Nasdaq: SPSS). Clementine 6.5 includes a new Clementine Application Template (CAT) for customer relationship management (CRM).

CATs are complete, pre-built project outlines tailored to specific data mining applications that can produce significant, valuable results right out of the box. The new CAT will help users get a jump-start on data mining projects for CRM, and focuses on increasing lifetime customer value, reducing customer turnover or "churn," and predicting promotional response rates. The software is currently shipping worldwide.

"Organizations are now coming to realize what many market analysts have been saying for some time: advanced analytics are imperative to the success of CRM applications," said Peter Caron, SPSS BI senior marketing manager. "Clementine's CRM CAT makes it incredibly easy to add this analytical power. The CAT, in effect, provides a detailed roadmap that organizations can follow to get their CRM data mining projects off the ground faster, make fewer errors along the way and achieve better results in less time.

"The introduction of the CRM CAT also serves as a sign to prospective users that we are committed to ensuring that Clementine remains an indispensable tool for the continuously growing CRM market," Caron said. "As shown by the annual doubling of its sales revenue and regular topping of user surveys such as the KDnuggets polls, Clementine continues to be the No. 1 choice for data mining software."

Clementine takes a visual, interactive approach to data mining. Users build a map of their data mining project--called a "stream"--by selecting icons--called "nodes"--that represent steps in the process. Along the way, users can include their business knowledge for better results.

CATs are collections of pre-built streams, sample data and user guides designed for specific applications. Clementine 6.5 also includes CATs for analysis of Web site data to improve site efficiency and analysis of customer data in the telecommunications industry.

Other new features in Clementine 6.5 include:

- New sequence algorithm - This new algorithm detects patterns in time-ordered data and makes sequential predictions, enabling users to analyze information such as clickstream data from Web sites.

- Enhanced Web mining CAT - Fourteen new streams have been added to the Web mining CAT. Additional improvements include new sample data that represent popular Web log formats, more complicated field derivations and new methods for dealing with returning customers.

- Operation reordering - Clementine now automatically reorders operations to push even more of Clementine's execution into the database. This results in improved performance and reduced network traffic.

- Expression builder -The mouse-driven expression builder boosts productivity and reduces errors, as users no longer have to type complex or lengthy expressions.

- Multiple derive node - Multiple new variables can now be created in a single node, saving time and reducing stream complexity.

Additional information about Clementine is available online at http://www.spss.com/clementine or by calling 800/543-2185.

About Clementine

Clementine, SPSS Inc.'s 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 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 and e-Dialog.

About SPSS BI

SPSS BI, a division of SPSS Inc., helps people solve business problems using statistics and data mining. This predictive technology enables customers in the commercial and public sectors to make better decisions and improve results. SPSS BI software and services are used successfully in a wide range of applications, including customer attraction and retention, cross-selling, survey research, fraud detection, Web site performance, forecasting and scientific research. SPSS BI's products include SPSS, Clementine, AnswerTree, DecisionTime and SigmaPlot.

About SPSS Inc.

SPSS Inc. (Nasdaq: SPSS) headquartered in Chicago, IL, USA, is a multinational computer software company providing technology that transforms data into insight through the use of predictive analytics and other data mining techniques. The company's solutions and products enable organizations to manage the future by learning from the past, understanding the present, as well as predicting potential problems and opportunities.

SPSS can be found on the World Wide Web at http://www.spss.com/press.

For more information, call 800/525-4980.