The other day I watched a game between the Wolves and Manchester United. According to the commentator, the Wolves players were all made to wear sensors that enabled the coach to analyze their real-time status and tell how hard they played throughout the game.
Imagine what this means to the game of football. As each move of every player is recorded, individual performances, as well as the entire game, can be quantified and analyzed. This will allow the coach to think of ways to fine-tune their training and performance.
This data revolution will help players to do their best and the coach to get the most out of the players.
Many traditional coaches might question the value of applying data technology to the game. But there is a growing consensus that traditional approaches are becoming less effective.
The football industry is now undergoing huge changes, mainly due to big data. Several football teams in Europe have invested in machine learning and other big data algorithms. This will certainly help keep spectators at the edge of their seats and boost the market value of the entire industry.
Similar applications are seen in other industries.
For instance, some large retailers want to use video footage of their shops to analyze their workers’ efficiency.
Headhunters find that they can do their job more efficiently by combining the guest list of an industry event with their clients’ LinkedIn accounts.
I also think big data can revolutionize human resources management.
This article appeared in the Hong Kong Economic Journal on Oct 4
Translation by Julie Zhu
[Chinese version 中文版]
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