December 15, 2014
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and to detect fraud before it happens, financial service companies are using Hadoop to more effectively analyze data and make well-informed decisions.
September 24, 2014
Banks can reduce fraud and improve customer satisfaction with next-generation big data and analytics technologies
September 9, 2014
Retailers today have an insurmountable amount of data to digest and act on quickly not just to personalize the customer experience, but also to prevent fraud. This week’s IBM Big Data & Analytics Hero, David Speights, chief data scientist at The Retail Equation, shares some insights with us.
September 3, 2014
When I think back to last year’s Information on Demand (now Insight) conference, one customer story in particular comes to mind: Memorial Healthcare System’s uncovering of vendor fraud, a bid rigging scheme and a potential staff risk in what began as an effort to simply streamline and improve the accounts payable process. When this routine investigation turned ugly, it became apparent that there was a real need for attention to fraud identification and reduction in all businesses today.
August 12, 2014
The Retail Equation utilizes big data to predict and shape shopper behavior. Mark Hilinski, executive vice president of business development and strategic accounts and this week’s IBM Big Data Hero, shares how they “uncover those patterns of activity that were otherwise unseen in the data” and identify fraud.
July 15, 2014
“You can’t just look at one data source,” says Vince Walden, partner at Ernst & Young, and this week’s Big Data & Analytics hero. With so much data available to us today to get a clear picture businesses must be able to look “at the data in all different angles—upside down and sideways—to get to where we think the issues are in a case.”
March 25, 2014
A standing room only crowd of invited guests converged at the New York Palace hotel on Thursday to listen to experts from government, insurance, healthcare and banking talk about one thing: countering fraud.
March 20, 2014
Criminal activity is rampant, and the brash sophistication of recent attacks—as well as the magnitude of damage— is making fraud a top priority. Consumers are concerned about their privacy and security., government agencies are working out how to address the volume of improper payments and claims and businesses are wrestling with financial losses as well as lasting brand damag
March 12, 2014
The Retail Equation leverages big data and analytics to transform the way retailers predict and prevent return fraud leveraging the PureData System for Analytics.
March 6, 2014
Just like the great train robberies of the wild west, criminals today go where the money is: online fraud. Unfortunately, fraud has become an ever more lucrative, and increasingly difficult to track, criminal enterprise. The same technologies, from cloud to mobile to big data and analytics, that have transformed our professional and personal lives can also act as a digital smokescreen for would be criminals. Join the upcoming #BigDataMgmt Twitter chat with IBM's Bob Griffin and IDC's Mike Versace this Wednesday, March 12 at 12 noon EST & 5 p.m. GMT.