Statisticians and data miners have been using R software and language for analytics within research and academia environments for some time. This open source community has contributed thousands of ...

This story contains interviews with David Smith, chief community officer at Revolution Analytics; Casey Herron, data scientist at Revolution Analytics; Tess Nesbitt, director of analytics at DataSong; ...

R is hot. Whether measured by more than 10,000 add-on packages, the 95,000+ members of LinkedIn’s R group or the more than 400 R Meetup groups currently in existence, there can be little doubt that ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Predictive analysis refers to the use of historical data and analyzing it using statistics to predict future events. It takes place in seven steps, and these are: defining the project, data collection ...

A few years ago, I was the CTO and cofounder of a startup in the medical practice management software space. One of the problems we were trying to solve was how medical office visit schedules can ...

Data analysis does not remove the need for leadership; it requires business leaders to learn to incorporate data into their decision making and effectively train and support their teams to do the same ...

Microsoft kicked off the Spark Summit in San Francisco with news of “an extensive commitment for Spark to power Microsoft’s big data and analytics offerings, including Cortana Intelligence Suite, ...