Today’s business executives are increasingly applying pressure to their Human Resources departments to “use predictive analytics.” But this pressure isn’t unique to Human Resources, as these same business leaders are also pressuring Sales, Customer Service, IT, Finance, and every other line-of-business leader to do something predictive or analytical. When Human Resources focuses on predictive analytics
Over the last five years, electronic health records (EHRs) have been widely implemented in the United States, and health care systems now have access to vast amounts of data. While they are beginning to apply “big data”...
Here’s a question for PATIMES members interested in Big Data and predictive analytics to ponder: “When is bigger data more hazardous?” And, here’s an answer to puzzle over: “When it is wider.” Eric Siegel, executive editor of...
If you missed this article, originally published a year ago in the Deloitte Review, it’s a unique thought leadership piece well worth the read, exploring the intersection of predictive analytics and behavioral economics and the pursuit of...
As Silicon Valley fights for talent, universities struggle to hold on to their stars THAT a computer program can repeatedly beat the world champion at Go, a complex board game, is a coup for the fast-moving field...
Join us at the first Predictive Analytics Times Executive Breakfast of the new year. Gather at the San Francisco Marriott Marquis on Tuesday, April 5, 2016 at 8:00 AM to discover how predictive analytics works, and the...
The use of wireless technology for asset tracking has taken off over the last decade. Consumer retail was the first industry to adopt this technology for location services by tagging product pallets with radio frequency ID (RFID) tags....
The reason for Hadoop’s success in the banking and finance domain is its ability to address various issues faced by the financial industry at minimal cost and time. Despite the various benefits of Hadoop, to apply it...
More organizations than ever before are putting the right data on the right platform for the right reason. This new level of data efficiency greatly reduces – and, in the long run, may ultimately eliminate – the...
Big Data analytics is now being applied at every stage of the retail process – working out what the popular products will be by predicting trends, forecasting where the demand will be for those products, optimizing pricing...
