How Data Analytics Is Transforming Sports Performance – Captivating
The latest buzzword in the business world today is Data Analytics, a science where data is being used to build models to achieve better decisions out of those models.
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The latest buzzword in the business world today is Data Analytics, a science where data is being used to build models to achieve better decisions out of those models. The business dictionary has expanded the definition of Data Analytics as:
“Studying the past historical data to analyze the effect of certain decisions or events or to evaluate the performance of a scenario. The main goal of analytics is to improve the business by gaining knowledge which can be used to make improvements or changes.”
At present and going forward we will have to accept that the Data is a new OIL/FUEL and source for anything. The advancement of technology with unbelievable momentum on digitization is the key reason that leading us towards a data-driven world. On top of it, we have started to achieve intelligence other than the human brain from Machines by feeding data termed as Artificial Intelligence.
Descriptive, Predictive, and Prescriptive are the three different branches of Data Analytics. Prescriptive analytics not only predicts what will happen in the future but also tells what should be done if the prediction varies. And this is the turning point why individual business verticals like finance, retail, etc., have efficiently adopted Data Analytics. Sophisticated sensors, high-end DSLR camera, video recorder, and other live movement capturing devices used in various sports activities, contribute to generate data for further analysis.
Post analysis of players’ activities in a competition or tournament is a thumb rule for the coach to offer accurate guidance/enhanced training for further improvement. By understanding the importance of data, advanced countries have started consolidating different types of data, captured in various sports devices, and subsequently are conducting analytics for extra-ordinary performance for the players in an international tournament like the Olympics.
(Video Source: Eurosport Player, Website: www.eurosportplayer.com)
Please have a look at the above video to understand better how data has been captured and analyzed to understand the body position, starting position, and various body part movements of the winner and how he performed differently from the rest of the competitors in the running race. This type of analysis would provide sufficient data to the coach to formulate a model for players so that the pattern of the regular practice can be improved. Besides, it can be considered as the tip of the iceberg to evaluate many best possibilities to train the winner for a new world record. Data analytics in sports has already been adopted as hand-holding support for future prediction by the coach but not penetrated deeply yet. We will have to be more matured enough to leverage data with smart Artificial Intelligence’s algorithm.
Published at DZone with permission of Gautam Goswami, DZone MVB. See the original article here.
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