CHICAGO, 06/17/09 -- SPSS Inc. (Nasdaq: SPSS), the leading global provider of Predictive Analytics software and solutions, today announced full support for the release of Version 4.0 of the Predictive Model Markup Language (PMML), the most widely deployed standard for statistical and data mining models from the Data Mining Group (DMG).

SPSS, a founding and active member of the DMG, will incorporate PMML Version 4.0 into upcoming versions of PASW Modeler (formerly Clementine) data mining workbench and PASW Statistics (formerly SPSS Statistics) so customers can easily apply the most robust and user-friendly modeling techniques and visualizations to improve productivity and enhance business processes. With PMML, customers can easily develop a model on one system using one application and deploy the model on another system with a different application.

Rich Holada, senior vice president of technology at SPSS, said, “SPSS has been investing in PMML since its inception and is fully committed to facilitate an open exchange of tools and techniques. PMML Version 4.0 increases productivity around model preparation, reduces silos in organizations and contributes to the emergence of scoring engines that consume PMML from multiple sources delivering results into the hands of those driving business decisions.”

Since SPSS commercial, government and academic customers regularly use predictive models to drive business decisions, it is important that the delivery of that intelligence be achieved through open standards, such as PMML. PMML Version 4.0 allows SPSS customers to easily create models, score large volumes of data in a database, and embed models into operational systems that enhance business processes, such as reducing marketing costs, improving customer retention, increasing cross-sell/up-sell capabilities or stopping fraudulent activity.

Robert Grossman, Chair of the Data Mining Group, said, “With Version 4.0, PMML now handles all of the common use cases that occur when deploying analytic models in practice. Version 4.0 adds support for time series, segmented models and ensembles. We applaud SPSS and its industry leadership for incorporating PMML Version 4.0 into their Predictive Analytics software so customers can improve their business operations.”

About PMML Version 4.0

This new version of PMML is a major update of PMML Version 3.2, which was released in May 2007. PMML Version 4.0 now offers support for time series models; support for multiple models (both segmented models and ensembles of models); improved preprocessing of data; and new models, such as survival models. The newly released version of PMML can be found on the DMG web site www.dmg.org.

About DMG

The Data Mining Group (DMG) is an independent, vendor-led group which develops data mining standards, such as the Predictive Model Markup Language (PMML). For more information, see www.dmg.org.

About SPSS Inc.

SPSS Inc. is a leading global provider of Predictive Analytics software and solutions. The Company’s complete portfolio of Predictive Analytics Software (PASW) products – data collection, statistics, modeling and deployment – captures people’s attitudes and opinions, predicts outcomes of future customer interactions, and then acts on these insights by embedding analytics into business processes. SPSS Solutions address interconnected business objectives across an entire organization by focusing on the convergence of analytics, IT architecture and business process. Commercial, government and academic customers worldwide rely on SPSS technology as a competitive advantage in attracting, retaining and growing customers, while reducing fraud and mitigating risk. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For more information, please visit www.spss.com.