The Role of Data Analytics in Enhancing Decision-Making in Sports Management

Authors

  • Sandeep Reddy Data Science Manager, Mindtree, India Author

DOI:

https://doi.org/10.63282/3050-9262.IJAIDSML-V4I2P102

Keywords:

Data Analytics, Sports Management, Decision-Making, Performance Optimization, Injury Prevention, Fan Engagement, Recruitment and Scouting

Abstract

Data analytics has become increasingly prominent in the sports industry, transforming how athletes train, coaches strategize, and fans engage with their favorite teams. Sports data analytics involves the use of data analysis and statistical techniques to gain valuable insights, make informed decisions, and optimize performance in the field of sports. It encompasses a wide range of techniques and strategies, such as statistical analysis, machine learning, data visualization, predictive modeling, and optimization algorithms, to extract actionable insights from data for improved decision-making and drive innovation. The applications of data analytics in sports are multifaceted, spanning player recruitment and scouting, injury prevention, fan engagement, and game strategy. By analyzing player performance metrics, statistical data, and scouting reports, teams can identify promising prospects and assess player potential, leading to more informed recruitment decisions. Furthermore, data analytics enables teams to monitor athletes' workloads, biomechanics, and injury risk factors, facilitating the implementation of preventive measures to reduce the likelihood of injuries. Data-driven insights also allow coaches and managers to refine strategies in real time, make informed judgments on the fly, identify weaknesses, and develop strategies to exploit them. Moreover, data analytics helps understand fan preferences, behaviors, and engagement patterns, enabling personalized experiences and fostering stronger connections with fans. Overall, the role of data analytics in sports is paramount, as it involves collecting, processing, analyzing, and interpreting data to gather insights for better decision-making. The transformative impact of data analytics has led to an increase in big data development services, with companies seeking innovation to deliver high-end solutions for better decision-making in the sports field. By leveraging data analytics, teams, coaches, athletes, and organizations can gain a competitive advantage and achieve greater success

References

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Published

2023-05-08

Issue

Section

Articles

How to Cite

1.
Reddy S. The Role of Data Analytics in Enhancing Decision-Making in Sports Management. IJAIDSML [Internet]. 2023 May 8 [cited 2025 Sep. 16];4(2):9-16. Available from: https://ijaidsml.org/index.php/ijaidsml/article/view/45