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 medical device company suffered from high attrition among its highly paid sales reps as poor performers were forced
Microsoft promised to bring analytics to a billion screens last February when it finally launched Power BI for Office 365. Starting this week, Office 365 users will be able to do both data mining and predictive forecasting....
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...
Baseball scouts used to scour the back roads of America in search of the next Mickey Mantle or Warren Spahn. Today, team front offices rely on reams of statistics and psychological profiles that help predict not only...
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...
We analyze Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. Overall activity drops about 25%, but membership growth accelerates in Q4 2013. We identify 4 group quadrants and find which groups are...
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,...
