Briefs

New Capabilities From SAS and Visual Numerics Integrated With Teradata Warehouse Miner Help Streamline the Data Mining Process

MIAMISBURG, Ohio--(BUSINESS WIRE)--Teradata Corporation (NYSE: TDC), the global leader in enterprise data warehousing, today introduced Teradata Warehouse Miner 5.2, which embeds 50 new statistical data mining functions from its partners into the Teradata Database to accelerate the data mining process. Data mining is a powerful technology that discovers patterns in customer, financial and operational data that can provide valuable business insights.

"The data mining statistical functions from our partners, SAS and Visual Numerics, can now be executed within the database, leveraging Teradata�s high-speed parallel processing power. The results derived from executing the analytics enable our customers to raise the intelligence of their enterprises," said Scott Gnau, chief development officer, Teradata. "Our customers can now use data mining for more than long-range strategic planning; the results of the predictive analytics can be infused in real time into operational applications to support front-line business operations."

Teradata Warehouse Miner enhancements are supported by the recently announced SAS� Scoring Accelerator for Teradata. An initial benchmark of the SAS Scoring Accelerator for Teradata demonstrated the ability to process the number of records 45 times faster than the traditional scoring method. The SAS Scoring Accelerator for Teradata also eliminates the need for manual translation of the SAS scoring code into SQL, or structured query language. This speed and technology integration significantly increases the development and deployment of more SAS analytical models in Teradata, enabling critical business decisions in real time.

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