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Teradata Improves Analytics for Business Users

Published: June 16, 2008

New capabilities from SAS and Visual Numerics integrated with Teradata Warehouse Miner help streamline the data mining process.

Teradata Corporation, a global provider in enterprise data warehousing,  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.

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.

“I’m impressed that Teradata has made it possible for partners, such as SAS and Visual Numerics, to integrate custom analytical functions into the Teradata Database. This will make it easier for analytic modelers to execute tasks within the Teradata environment instead of having to convert everything to SQL. This will save time and costs and make Teradata a preferred platform for running analytic models,” says Wayne Eckerson, Director of TDWI Research at The Data Warehousing Institute.