This research reveals how DDDM enhances player performance and business metrics in sports organizations, highlighting its significance.
This research explores the transformative role of Data-Driven Decision Making (DDDM) in the realm of sports management. By integrating analytics into decision-making processes, sports organizations now leverage player performance data, wearable technology, artificial intelligence, and fan engagement metrics to optimize strategic and operational outcomes. The paper examines how DDDM enhances athletic performance, reduces injury risks, streamlines coaching decisions, and reshapes talent scouting. It also investigates how data is utilized for improving business performance, personalizing fan experiences, and maximizing revenue through targeted marketing and sponsorship analytics. Drawing from both secondary literature and emerging technological trends, the study also highlights key challenges such as data privacy, ethical considerations, and low data literacy among stakeholders. The findings underscore the growing importance of data as a strategic asset in modern sports. Ultimately, this paper advocates for a responsible and comprehensive approach to DDDM, ensuring sustained success and innovation in the evolving global sports industry.
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Atharv Budhiraja (2025) studied this question.
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