SAS® High-Performance Analytics on Teradata appliance extends analytic innovation to customers
New SAS High-Performance Analytics allow customers to model entire data sets in-memory - not just a sample - on a dedicated Teradata appliance.
Mumbai, India (Apr. 19, 2011) – Four years into their strategic partnership, SAS and Teradata continue to deliver new innovations for customers. The latest offering from SAS, the leader in business analytics software and services, and Teradata, the world's largest company focused on data warehousing and advanced analytic environments, is SAS High-Performance Analytics on the Teradata appliance.
Driving breakthrough performance and insight
New SAS High-Performance Analytics allow customers to model entire data sets in-memory - not just a sample - on a dedicated Teradata appliance. By dramatically improving the speed and accuracy of analytical modeling for statisticians on big data issues, SAS High-Performance Analytics on Teradata allow customers to get a complete view of their business for improved decision making.
"Leveraging in-memory processing with the power of the Teradata architecture to minimize traditional I/O constraints, SAS and Teradata can now provide answers on big data problems across industries at the lowest levels of granularity. This leap in technology innovation will allow companies to do such things as more accurately monitor fraud, predict failures and provide real-time customer insights and offerings in ways they previously couldn't," said Mr. Sudipta K Sen Regional Director - South East Asia CEO & Managing Director - SAS Institute (India) Pvt. Ltd
For example, in the financial services industry, in order to predict the probability of loan defaults, an analyst would build a predictive model from an extremely large set of data. Because of the large data size and movement constraints, the analyst most likely would use a sampling of the data to build the loan default model. This impedes speed of building the model and model accuracy, which means the bank's profitability on its loan portfolio is not optimized. By implementing SAS High-Performance Analytics on a Teradata appliance, these data constraints are eliminated, model development time is reduced from days to minutes, and loan default accuracy can increase by 10 percent to 50 percent, significantly improving the bank's profitability for its loan portfolio.
"The demand for operational analytics against integrated data from across the enterprise has become table stakes for leading businesses to achieve and maintain a sustainable competitive advantage," said Scott Gnau, Chief Development Officer at Teradata. "SAS High-Performance Analytics helps our customers meet this demand by leveraging Teradata parallel processing to minimize the duplication, complexity and movement of data while increasing the performance of the analytic teams and impact of the business insight they generate."
James Taylor, CEO of Decision Management Solutions, faculty member of the International Institute for Advanced Analytics, and author, adds, "Analytic value is lost when limited computing resources mean that data is excluded or that the time to get results is extended. When a business can ramp up its processing power and analyze all the data needed for a decision, it can maximize the value of analytics."
The new SAS High-Performance Analytics is part of the SAS High-Performance Computing portfolio, which spans across in-database analytics, grid computing and in-memory analytics, and will be generally available on the Teradata appliance in fourth quarter 2011.
This new offering is the most recent addition to the growing portfolio of analytic solutions from SAS and Teradata. Many features and functions of this portfolio of products have been influenced by the SAS and Teradata joint Product Advisory Council (PAC), which provides customer input and validation to joint offerings before they go to market. This influence has resulted in nearly 400 global customer engagements since the partnership started and has allowed the partnership to enhance and grow its suite of Advantage Programs to solve customer problems. In addition, the SAS and Teradata Business Analytic Innovation Center (BAIC) has also been integral in helping customers identify analytic best practices with domain and subject-matter experts, as well as quickly uncovering innovative models that provide unique insights for optimizing business operations.
ABOUT SAS INDIA
SAS has been in India since 1997 and has two wholly owned subsidiaries in the country: SAS Institute (India) Pvt. Ltd. and SAS Research & Development having a team of over 500 technology and domain experts. SAS India operations are headquartered in Mumbai with regional offices in Bangalore, New Delhi and Pune. SAS works with organizations across industries and offers them Business Analytics & Intelligence solutions to fuel innovation and meet their business objectives. Year on year SAS has been leading the Advanced Analytics market in India with majority market share. It has also been awarded as one of the best places to work for by the Great Places to Work institute. Information on SAS India operations can be found at www.sas.com.
Teradata is the world's leader in data warehousing and advanced analytic environments with leading-edge database software and data warehouse appliances. For more information, visit www.teradata.com.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 45,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2011 SAS Institute Inc. All rights reserved.
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