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.
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 50,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world
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