eBay has seen improved data processing speed through its use of big data analytics. Watch this video for details.
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Big data – bringing value to social minutia
Social networks are creating vast amounts of data, leaving many to wonder if that data has any intrinsic value or if it amounts to little more than noise.
Big data: More than meets the eye
Hype aside, big data is becoming one of the most important elements of business analytics and is leading the charge to better the understanding of oft overlooked relationships.
Tagged big data, big data analytics
Analytics and the modern casino: A game changer
When it comes to casino slot floor planning, bad decisions can mean significant losses in customer loyalty and potential revenue. With analytics, SaskGaming better understands its customers and has stronger predictors of long-term gaming trends – leading to better decisions for the future.
Tagged predictive analytics
Analytics success at McDonald’s is a team effort
All too often analytics projects are confined to one poor soul, or a few people in an isolated department. Not so at McDonald’s. Mike Cramer, McDonald’s Director of Operations Research for Worldwide Restaurant Innovation, explains.
Speed dating, I mean mentoring, at SAS Executive Conference
Just as you may view first date, does big data have you paralyzed? Are you stumped by the right thing to say? Get it all under control at the SAS Global Forum Executive Conference with a speed mentoring session sponsored by SAS and Teradata.
Tagged big data, data management, data visualization, IT leaders
More big data myths according to Phil Simon
Phil Simon, author of Too Big to Ignore: The Business Case for Big Data, discusses more myths of collecting and analyzing data.
Tagged big data, big data analytics
Ka and Ba: The soul of an organization
The soul of an organization is made up of Knowledge Acquisition and Business Analytics, says Jay Liebowitz, Orkand Endowed Chair in Management and Technology, University of Maryland University College.
Big data myths according to Phil Simon
Phil Simon, author of Too Big to Ignore: The Business Case for Big Data, discusses the myths of collecting and analyzing data.
Tagged big data, big data analytics
Box score analytics: the secret to the Final Four
“College basketball teams that use box score analytics for game preparation will surely be among the Final Four,” says William Cade of CADE Analytics, LLC. He explains his statistical method that has been used by the University of Miami to play the right players at the right time.
Tagged sports analytics



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