We recently met up with Paul Bennett, a member of the GB Rowing Team and current World Champion, and Laurie Miles, Head of Analytics for SAS UK & Ireland, who has been analyzing the team's data. They chatted about data, the life and mind of an elite sportsman, and uncovered some
One of my earlier blogs on handling percent (%) values in SAS was very popular (it's been viewed over 34,000 times!), so I thought I'd write a similar blog on handling time (mm:ss.ss) values in SAS ... This past weekend I was in a dragonboat race (that's me in the
Every year rowers get faster, records are broken, medals are won, but can this trajectory continue? Rowing as a sport lends itself well to data analysis and at the British Rowing Sports Science and Medicine Conference earlier this year I shared some insights the rowing community has gleaned from the
You may be intrigued to know how the average person compares to a gold medal winning Olympic athlete when it comes to things like height, body mass, resting heart rate, arm span, body fat etc. Or, perhaps more frightening, how you measure up? I know this will resonate with my
Katherine Grainger paid a heart-felt tribute to the support staff who have been a pivotal part of her success in her opening speech ahead of last month’s World Sport Science and Medicine conference. The event was hosted in the UK jointly by British Rowing and FISA, the international rowing federation. “My career
In sports these days, there's a lot more data to keep track of than just the score! How can you make sense of it all? Being the Graph Guy, of course I recommend graphing it! Here's an example that's up close and personal for me - dragon boat racing... Below
In a city built on hedging your bets, it is fitting that the Analytics 2014 conference kicked off Monday in Las Vegas with a look at all the unscientific ways people try to predict the future. John Elder, Founder and President of Elder Research, Inc., entertained the audience with examples of how
It’s a great time to be a sports fan – and an even better time to be a sports and data fan as these two worlds continue to meld together. For the last couple of years nearly every conversation about sports, analytics or both had to have at least one
After the 2014 FIFA World Cup, one thing’s clear: here at SAS, we love football (soccer in the US!). To wrap up the popular 2014 World Cup data visualization series on the SAS Visual Analytics Community, we created a presentation that’s chocked-full of interesting insights. From the trillions of pieces
When I started working at business analytics leader SAS, I had no idea I’d be helping the Great Britain Rowing Team plot their way to Olympic glory. While I haven’t, yet, got in a boat and started rowing, I have started working with them on how they can make better
In my region of North Carolina (Raleigh, Durham, and Chapel Hill) one of the most anticipated times of the year has arrived— the NCAA basketball tournament. This is a great time of year for me, because I get to combine several of my passions. For those who don’t live among crazed college
Experiencing a major sporting event in person is a hard-to-describe experience for a fan. When your team is winning, a feeling of euphoria rolls through the stadium or arena. I have hugged and high-fived complete strangers when a game-winning shot goes in or someone scores a game-winning touchdown in the
Over the last few years, the main qualifications for a general manager of a sports team have changed dramatically. Gut feel and experience have been replaced by analytical insight and predictive modeling. If Billy Beane started the trend with his Moneyball approach to team building, GMs like Daryl Morey (Houston
Over the last few posts, Lee Ann has been exploring how to marry business strategy with day to day pricing decisions. This week, I’m going to take this discussion in another direction by describing how pricing decisions are made, and the importance of strategic pricing in another industry – sports.
Two years ago, Brad Pitt starred in Moneyball, an Academy Award-nominated story about Oakland A’s general manager Billy Beane bringing the power of advanced analytics to the sport. Beane wasn’t the first to use statistical analytics to build a successful team and keep its payroll in check. Baseball and political
Are you an NFL fan, or curious about analyzing social media data? -- Well, in either case, this blog's for you! I recently read a fascinating Facebook article that included a U.S. county map showing which NFL (U.S. football) team had the most 'likes' in each county (based on ~35 million
Revenge of the Nerds was so 1980s. Now it's a new world order: math geeks and athletes are working together. I'm not talking just about what happens when data nerds observe, analyze, and predict sports outcomes -- as they do in March Madness with their "bracketology". That's compelling, but your
A big part of "winning" these days (be it sports or a business) is performing analytics better than your competition. This is demonstrated in awe-inspiring fashion in the book (and movie) "Moneyball." And on that topic, I'd like to show you a few ways SAS can be used to analyze sports data
In this informative webcast, professors Jay Coleman and Mike DuMond discuss the 2012 Dance Card, revealing this year’s accuracy rate in predicting at-large selections to the Men’s Division I NCAA Tournament. The professors review the top 70 teams in the Dance Card, identify one team that may indicate a conference
If you like college basketball and the bracketology talk around the NCAA Tournament, you don’t want to miss an in-depth webcast with Dance Card professors Jay Coleman and Mike DuMond, taped earlier this morning. The professors discuss the 2012 Dance Card accuracy, the methodology behind the Dance Card, and identifying
Once again NCAA men’s basketball is peaking – and so is talk of brackets and bubble-busters, bad calls and buzzer beaters, what-ifs and what the … happened? Dance Card Roundup Official Dance Card site SAS Dance Card blog series NCAA Tournament Meet the Professors Jay Coleman Bio Allan Lynch Bio
As part of my research for a sascom magazine article about how sports teams use analytics to hone performance and win games, I interviewed Jeff Ma, the former MIT student who inspired the New York Times best-seller Bringing Down the House and the movie 21. Ma now uses his analytic
