Big Data in the Sports Industry
Data has been used by team for many years on the road to victory.
Official make use of social media platforms to interact and gain more information about fans in order to boost their experience and improve a team's reputation. Big Data is used to check on players'' their hydration levels, protein levels, fatigue levels and so on.
Some universities use large algorithms to attract persons to their universities and also for recruiting athletes. The university of Virginia, for example, has algorithms that help them determine how far an athlete can reach in football and the likelihood of making it to a huge competition such as the NFL or attending their university or other schools. his helps recruiters choose their prospects and also informs them of the areas where the individuals need assistance.
Big Data is also of use to those who aren't coaches or athletes. Health officials use big data to gain information which may be useful in the development of treatments. Helmet and sports shoe manufactures may also find Big Data essential in their production processes.
Big Data is also used in some small parts of the industry. For example, on the field, while spectators are watching the game. There are cameras placed at different parts of the field which allow for replay and for live streaming of the sport games. The players also have a chance to view their own personal performances and know the areas which are in need of improvement. Big Data is also stored after these games which allows for the proper analysis of statistics and the results of games.
Some main ways in which Big Data is a game-changer in the sports industry include: better coach decisions, athlete as well as viewer safety, career opportunities (such as Data Analyst or Data Scientist) and game improvement.

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