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 how a player will perform on the field but also if he fits well into the team culture.
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,...
Big data is just that–big–and it’s getting bigger. According to the research firm IDC, the worldwide big data technology and services market will grow at a 27 percent compounded annual rate, to exceed $32 billion by 2017....
Is this the beginning of the end for the vaunted data scientist? That’s the clever pitch from Tableau Software, one of a handful of business intelligence vendors pushing the envelope on self-service BI tools. Because the software’s...
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...
The White House Office of Science and Technology Policy is nearing the end of its 90-day review of big data and privacy. Soon, industry leaders, privacy advocates, engineers, and developers expect to learn regulators’ key questions and...
