As a Gartner analyst, I am fortunate to frequently meet amazing people. Qaizar Hassonjee from Adidas is not only one of them, but one of the most memorable ones among the amazing people. He is at the heart of miCoach, including miCoach Elite, the system developed in partnerships with the top soccer players, coaches and teams of the world where soccer is known as football. For instance, German national team was practicing all last year with miCoach.
We invited Qaizar Hassonjee to talk at our Catalyst conference earlier this month, and he accepted our invitation! I was tweeting like crazy, “Everyone, drop everything, go to End-User Case Study: Smart Soccer With adidas miCoach Elite Team System!” This session is recorded by Gartner Events On Demand, which offers analyst and guest speaker presentations from all our conferences, woo-hoo!
Qaizar Hassonjee is a passionate leader who knows how to focus and what to focus on. He leads fantastic innovations, like creation of a sensor t-shirt to monitor an athlete’s heart rate and performance. And this sensor t-shirt is washable! I am writing this blog post, because Qaizar Hassonjee and his team got big data right. Here is the Gartner’s definition of big data (which I explained in the past):
Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
This is how the big data definition plays out in digital sports.
Part 1. High-volume, high-velocity and high-variety information assets.
miCoach collects players’ heart rate, physiological parameters, geolocation and much more in real time, with a lot of unexpected uses of data. For example, a location heat map was important to people who maintained the field.
Part 2 of the definition. Information assets that demand cost-effective, innovative forms of information processing.
The miCoach team was focusing on serving the right analytics at the right time. They did not make typical mistakes of relying exclusively on their own expertise, but involved cardiologists, physiologists, equipment managers, and of course, coaches and players.
And finally, part 3 of the definition: Information processing for enhanced insight and decision making.
These are the main points that led to success of miCoach because of the big data insights:
- Don’t overload with data and information.
- Don’t sacrifice performance.
- Don’t over-engineer.
- Focus on integration of different components to bring a unique user experience and test, test, test.
Follow Svetlana on Twitter @Sve_Sic
Predicts 2019: Data and Analytics Strategy
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