Physical Education and Sports Training: Leisure Sports

Big data analytics is a modern approach to analyzing information that has significantly inflected critical societal practices. There have been sign incant inefficiencies in harmonizing information and data collected within different spectrums and hence a lack of effective decision making, especially when it comes to identifying key strategies to be implemented in improving performance. The sporting industry is one of the biggest affected industries by this inefficiency. Wheel, there are various platforms through which information can be collected within the industry to make key decisions. There has been an inefficient approach to analyzing the information hence creating effective and sustainable decisions. Data analytics can be effectively used to improve player performance through tracking of critical data that gauges and examines any shortcomings within the player’s abilities (Colbert et al., 2016). In the contemporary world, sports viewed as traditional and cultural hence classified as folk sports, have gained significant popularity due to the increased use of technology within the sports. Sports analytics has contributed to making these sports sustainable through creating efficiencies in the gradual improvement of performances within the specific sport. Big data analytics in sports is an efficient tool that, if implemented properly, streamlines processes within the sports and facilities development of sporting strategies aimed at improving the players' performance.