SAS, a leader in business intelligence, announces the immediate availability of enhanced interoperability between SAS' and IBM's data mining offerings. SAS and IBM are the first companies to deliver production software that implements an extended version of the Predictive Model Markup Language (PMML) 2.1 standard, providing customers with the capability to rapidly integrate new predictive and descriptive models in operational systems without manual interference.

SAS Enterprise Miner for SAS9 generates PMML for more modeling algorithms including linear and logistic regression, decision trees, neural networks, clustering and associations than does any other solution on the market. SAS Enterprise Miner PMML has been enhanced beyond PMML 2.1 to support models including SAS formats, datatypes, and functions, as well as additional modeling extensions. IBM has tested the deployment of more than 160 different SAS Enterprise Miner PMML models with the IBM DB2 Intelligent Miner Scoring engine.

"Deploying data mining models into production scoring systems has traditionally been a time-consuming process," said Anne Milley, director of analytical strategy at SAS. "Through our joint development activities and mutual support of industry standards, SAS and IBM are helping customers improve their decision-making capabilities by allowing them to place new models into production much more quickly."

PMML model exchange is available in the current release of SAS Enterprise Miner data mining workbench in combination with IBM's Intelligent Miner Scoring, an optional feature of IBM DB2 Universal Database (UDB) V8.1. The cooperative relationship between SAS and IBM enables both companies to utilize each other's strengths in the data mining arena: SAS as the leading provider of business intelligence and analytic applications, and IBM as the leading provider of infrastructure and relational database products.

"With the support of SAS and IBM, PMML-based scoring solutions have now become mainstream and are quickly becoming a best practice for anyone deploying analytics in operational systems," said Robert Grossman, president of Open Data Partners and Director of the National Center for Data Mining at the University of Illinois at Chicago.

"Customers running SAS Enterprise Miner PMML-based output on IBM's Intelligent Miner Scoring Services software enjoy the benefits of making immediate business decisions based on predictive analytic capabilities," said Karen Parrish, vice president, IBM Business Intelligence Solutions. "This solution allows parallel scoring of massive quantities of data, giving companies new opportunities to gain competitive advantage."

Underlying the new SAS Enterprise Miner capabilities is SAS 9, a new breakthrough enterprise intelligence platform that takes customers beyond traditional business intelligence. The SAS 9 platform supports the high level of interoperability and scalability needed to successfully implement PMML standards.

"No other analytic solution can match the variety of data mining algorithms accessible through SAS Enterprise Miner's single graphical user interface," said Michael Berry, founder of Data Miners, Inc. "We're especially excited about the new interoperability features of SAS 9 in Enterprise Miner that facilitate the publication of model scoring code in C, Java and PMML as well as SAS. This will significantly improve our ability to deliver integrated data mining solutions."

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