Health care is ripe for Big data disruption because of 3 reasons

There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.

On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:

Your firm is awash in workforce data and your team of data scientists have been charged with making sense of it and extracting meaningful insights the business can use. How do you do this? There are many different approaches to analyzing workforce data to choose from but the amount of relevant insight yielded really depends on the goals of the analysis.

If the goal is to take more of a traditional approach to workforce analytics, where the same datasets are massaged to try to squeeze…

The folks at Ooyala continue to impress with their quarterly Video Index Report. Checkout Data Scientist, Matt Pisienski's perspective. Oh, and stay tuned until the end and watch the outtakes --that's where the real story is told!

Watch the video.

Ben Rooney, of WSJ Europe, recently posted a quick interview with EMC's Pat Gelsinger discussing Big Data. In my opinion, Gelsinger is one of the most thoughtful (and successful) high tech execs in the entire industry. His perspective on Big Data is spot on.

“We do think there is this new skill set— data scientist,” he said in an interview at a London conference he hosted on Big Data. “This will be the cool new place to be, like computer science was 30 years ago. Then we…