Thought Leaders in the Mix - Sept 2015

Our subject matter experts for Statistica and the Information Management Group (IMG) keep busy, staying abreast of current trends with big data and small data, predictive software and real-world analytics solutions. And they frequently comment in industry publications, professional forums and blogs—or produce videos, in Shawn Rogers' case. Here are a few of their recent articles.
 Automated analytics can fill in for data scientists: But...(!)
by Dr. Thomas Hill, executive director analytics, Quest

One way to look at how predictive modeling technology will transform the healthcare sector is to compare it to other industries that were the earliest adopters—and automaters—of such methods. In this Health Data Management article, Dr. Hill asks whether healthcare data science and predictive modeling could be similarly automated? And what exactly would that look like?


 Video clips from London's Cloud World Forum 2015
by Shawn Rogers, chief information officer, Information Management Group

Speaking recently at Cloud World, Shawn addressed the great business opportunity afforded by hybrid data environments, where the cloud presents an interesting convergence of technologies and capabilities that enable data processing from almost anywhere—often with the purpose of applying advanced analytics that lead to insights not previously understood.



 Thirst for Advanced Analytics Driving Increased Need for Collective Intelligence
by John K. Thompson, general manager advanced analytics, Quest

In his latest article at, John Thompson explains that the data scientist skills gap will not deter data-driven organizations from achieving the benefits of predictive analytics, thanks to their willingness to pursue collective intelligence as a practical, collaborative workaround that is powerful enough to "change the world."



Three Tips for Surviving Today's Complex Data Landscape
by John Whittaker, executive director, product marketing, Information Management Group

In this article contributed to Data Center Knowledge, John acknowledges that many organizations collect a disparate mix of structured and unstructured data, and he spells out three information management priorities for DBAs to maintain efficiency and achieve successful integration with analytics downstream.