SAS CEO Jim Goodnight speaks on High-Performance Computing at Disney Analytics Summit

Turning big data into better, quicker business decisions

Marlow, UK, 09. Sep. 2011 - A major US retailer analyzes and optimises its prices -- all 270 million of them -- each week using SAS® High-Performance Computing. This big data challenge once took more than 30 hours to compute. With SAS, it now takes two. 

"A bank in Singapore using high-performance computing from SAS was able to reduce the processing time for recalculating its entire risk portfolio from 18 hours to 12 minutes," Goodnight told the Disney Analytics Summit audience. 

Decision makers need answers faster than ever, and must make sense of growing volumes of data -- on customers, operations, risk and more. With this "Big Data" challenge, the right analytic environment is key. 

Goodnight (bio), who recently was described by Forbes as the "King of Analytics," is founder and CEO of SAS, the leader in Business Analytics. He was joined for his Aug. 30th keynote by Jim Davis (bio), SAS Senior VP and CMO, as they discussed "The High-Performance Organisation: How Today's Leading Organisations are Leveraging Technologies & Analytics."

The Disney Analytics and Optimisation Summit 2011  brought together some of the most talented analytical Cast Members within The Walt Disney Company (NYSE: DIS) to share best practices and learning in the areas of Measurement, Forecasting, Optimisation and Pricing. The Summit was also open to analytical professionals from around the world.  SAS was a platinum sponsor of the event. 

Goodnight and Davis also delivered a live demonstration of SAS High-Performance Analytics, developed to solve complex business problems that require sophisticated, high-end analytics applied to big data.

About SAS

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.