Tom Davenport is a Professor at Babson College where he was just named the President’s Distinguished Professor of Information Technology and Management. He is also a Research Fellow at the MIT Center for Digital Business, a Senior Advisor for Deloitte Analytics and has authored or co-authored over 15 books and more than 100 articles. To say that Tom is a big voice in Big Data is a big understatement.
Tom spoke with icrunchdata News to discuss his career in analytics and research, how metrics in sports analytics should be implemented into business and his team, the Boston Red Sox.
Tom, let’s get started.
When I started at Babson, the only teaching of analytics was with regard to technique. But now we (and several other schools) have courses on how to create an analytical organization, how to compete with analytics, etc. And there are a lot more interested students in these topics!
Yes, I think Austin is widely regarded as a cool place to work, particularly downtown. San Francisco, of course. Boston—both in the newly-developed “Innovation District” and in Cambridge, particularly Kendall Square. Brooklyn is getting hot, both as a place to live and for startups.
When I was there, and still today I think, there was this slogan, “Keep Austin Weird.” It doesn’t feel nearly so weird or funky anymore, unfortunately. I am glad that the city is prospering but I worry that it is losing its distinctive character.
I don’t even have to go into the city—I just get BBQ from the Salt Lick at the airport. It’s my favorite airport restaurant in the world!
I started as an academic sociologist—and one of my specialties was sociology of religion! But I didn’t like just sitting in my office writing papers that perhaps four or five other sociologists would read. I had worked a lot with statistical computing in graduate school, and so I moved into that area—first as a manager at Harvard Computing Center (a very ugly building, now thankfully gone) and then as a consultant and business school academic.
Definitely coming back against the Yankees. My wife had a big birthday party for me on the night of the third game, which the Sox lost 19-8. I was so depressed that I could hardly watch the next game, which we won—then we won all the rest, of course. Beating the Cards and winning the first series in 85 years was pretty dramatic, but almost an anticlimax after the AL Championship against our classic rivals.
I decided after moderating a panel at the MIT Sports Analytics Conference last year that there was too much competition in the sports analytics space—so now I only talk and write about the implications of sports analytics for business. Part of success in any endeavor is knowing when to go into a different field! I think there is a lot of potential in taking analytics ideas from sports and moving them into business. My favorite candidate for this now is plus/minus analysis, as used in the NBA.
I think we will shortly have sensors on every helmet that record the severity of hits and transmit them to the sidelines. Safety analytics have been a backwater in every professional sport, but the players should force them to a much greater level of importance.
That's a perfect topic to end our discussion on. Tom, thanks for taking the time to discuss your career in analytics, your thoughts on inspiring employees and how there is a lot to learn from how analytics are being used in sports.