Have you placed your bet for the champion of FIFA’s 2014 World Cup? If you’re a fan of the game, you’ve probably had your eyes glued to the screen, or you’ve at least been checking updates on scores and rankings.
Big data has come in with some strong plays in this year’s tournament, indicative of the increasing place this tech trend has across many aspects of our lives. With the data collection and processing made possible by cloud computing, organizations have whipped their strategies into shape for game day.
Put your money on it
If you’re the betting time, you’re probably interested to know what the data says. How would you like to have some advanced analytics on your side? This year, groups have used big data analytics like never before to assess teams’ potential and predict final outcomes.
For example, CCTV reported that Feng Yicun, CEO of HYData, utilized records of games from the past 40 years to determine that Brazil has the greatest odds this time around.
“Brazil of course has a home field advantage,” Yicun explained, according to the source. “We measure our predictions based on a team’s historical performance, line-ups, the ability of its coach, as well as a squad’s performances during qualifying matches which give us the most recent data of the team. We evaluate this criteria against their opposition. And whomever scores higher has a better chance of winning.”
Goldman Sachs also cast an optimistic glance at Brazil, noting the importance of developing factors, such as players’ health, their moods and environmental conditions, the source added. Therefore, real-time analytics that draw on live stats can adjust projected prospects going forward.
Big data has done more than allow firms to improve their betting odds. As InformationWeek reported, advanced technology and analytics have provided opportunities for teams to optimize their strategies. High-definition cameras that identify objects collect information about players’ movements and scoring opportunities, creating a real-time data stream of 3D positioning and performance, the source explained.
Other examples offered by the source included:
- Sensors in shin guards, clothing and balls to collect millions of records about positioning, speed, ball possession and other players
- Data analysis and visualization tools that “uncover hidden trends” for coaches and managers to use
- Wearable sensors and monitors that track health metrics to identify players in need of a rest
Of course, behind many of these efforts is a robust IT infrastructure that can support collecting, processing and storing all of this information. Hybrid clouds, for instance, serve as a great boon for big data projects, whether you’re looking to transform your business operations or ensure your team scores the winning goal.