"If you train for just 10 minutes with 10 players and three balls - it produces more than seven million data points, which we can then process in real time."
Over the last decade Data Science has found its way into the strategies of many organisations spread over every type of sport. Like any other business those in the sports industry need to understand their customers, the fans, as deeply as possible to get the best returns and provide the best possible experience. Data analytics can provide the mechanisms required to understand fan preferences and also provide a more personalised experience with relevant promotions and interactions.
Also like any other business striving for the best possible ROI is important and here is another area where Data Science can help out. Predicting what sponsorship promotions would be successful when paired with a team’s brand or determining the best pricing model for market segments are just some of the ways Data Science can be of great value.
Perhaps one of the most interesting ways Data Science can help in sport is through the insights it can provide on potential players that a team might want to target. Tapping into the relevant data and utilising predictive analytics can help anticipate a player’s future likelihood of injury, their game effectiveness and also can give a greater insight when recruiting.
Gain Insight into Fan Preferences
Data Driven Coaching Decisions
Improve Branding Insights
Compliment Scouting Approaches