Vol. 28 No. 301 (2023)

Big Data and Sports
Big Data is closely related to sports. It consists of the storage and analysis of large amounts of data that can help improve the performance, strategy, health and marketing of athletes and teams. Before, during, and after a sporting event, millions of data are collected and processed by experts: match statistics, tactics and strategies based on information from the team itself and from the rival, the behavior of the public, the intervention the referee and others.
Having the data is not enough; it is necessary to understand the meaning and its application. Appropriate analysis, visualization and impact storytelling techniques must be applied to draw useful conclusions and communicate them clearly and simply to the recipients, whether they are coaches, athletes, managers or fans. It is also important to consider the context and purpose of each analysis, as well as the limitations and uncertainties of the data.
It is a model that, with the contribution of technology, can be applied not only to an elite of athletes but also to solve pressing problems such as environmental pollution, poverty, educational quality, access to health systems, water drinking water, transportation, decent housing, and healthy and varied food, in communities that demand it. In these cases, it is also necessary to form high-performance interdisciplinary teams that are capable of reading and interpreting data and, through public policies, make the most reasonable and relevant decisions, using material and human resources effectively to improve people's lives.
Tulio Guterman - Director, June 2023

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