Big Data is often associated with big vendors—the likes of IBM, Oracle and SAP. But the industry is also full of up and comers and niche specialists that could make an impact on a market said to be worth more than $32 billion by 2017. Gartner has released a list of five Big Data
As interest in machine learning has grown, its definition has expanded to include a panoply of techniques for automating knowledge and pattern discovery from fresh data Data scientists are professionals who use the most appropriate tools...
Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results...
A financial services powerhouse faced a 60 percent turnover rate among its 30,000 call-center reps. Leveraging predictive talent analytics, the organization reduced turnover by 30 percent and saved $5 million in the first year alone. A major...
We examine the origin and the facts behind this explosive story, the importance of headlines, and how unsubstantiated assumptions gain traction and mainstream attention and help create myths around Predictive Analytics. “How Target Figured Out A Teen...
What does it mean today to say your are—or want to be, or want to hire—a “data scientist?” Not much, unfortunately. The job title has almost as much ambiguity as the term “Big Data.” If you really...
Data scientist Dean Abbott has been focusing on data mining and predictive analytics for more than 25 years, and has authored and co-authored several books including “Applied Predictive Analytics,” “IBM SPSS Modeler Cookbook” and contributed a biographical...
Background Over the last few years, the triple aim has taken center stage in health care. Through more effective identification of individuals at higher risk, health care systems can become more strategic about resource allocation in order...
The work of interpreting data to help decision-makers goes back some 5,000 years to the bureaucrats and businessmen of ancient Sumer. But dealing with the astronomical size and complexity of modern data sets requires a new,...
NHL franchises are slowly embracing the ‘Moneyball’ strategy of using analytics to assist in coaching, training and player evaluation but the league has been behind the other sports for two reasons. Hockey has more of a flow...
 |
 |
 |
