Video: Basketball and Big Data

How analytics can predict who makes it to the "Big Dance"

Title card - Basketball and Big Data

The NCAA Tournament and its "March Madness" will soon be upon us - but before the games begin there is the anxiety for many teams about whether they will even get an invite to the "big dance."

Those teams that find themselves "on the bubble" have the most to lose on Selection Sunday (this year on March 16), in which they watch TV to see whether the tournament committee has chosen them or not.

It would be much easier for these teams to head over to the NCAA Tournament Dance Card site, created by Dr. Jay Coleman (University of North Florida), Mike DuMond (Charles River Associates) and Allen Lynch (Mercer University).

Using Big Data concepts and analytics, the group has been dramatically accurate in predicting teams that will be selected for the NCAA Tournament - last year they got 37 out of 37 of the at-large bids (the other spots are awarded for conference tournament winners), and in 2012 they predicted 36 out of 37 spots.

In this Google Hangout video, I chat with Dr. Coleman about the history of the Dance Card site, and how businesses can benefit from the same type of predictive analytic techniques used here.

The site is updated regularly during the week right up to Selection Sunday - you can also follow the action on the group's Twitter account - @DanceCard3.

Keith Shaw also rounds up the best in geek video in his ITworld.tv blog. Follow Keith on Twitter at @shawkeith. For the latest IT news, analysis and how-tos, follow ITworld on Twitter, Facebook, and Google+.

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