Big data and sport

Nick Watanabe

Chapter 29 in Research Handbook on Sport in Europe, 2026, pp 313-321 from Edward Elgar Publishing

Abstract: Big data and analytics have become a ubiquitous term across all sectors of business, including the sport industry. This chapter considers the role of big data and analytics within the context of European sport, including potential benefits, issues, and ethical concerns that can arise from the use of big data in the management of sport. Notably, big data can be used to improve business functions and enhance organizational effectiveness and efficiency in allocating resources. However, the rush to adopt big data has also created an over-reliance on complex analyses and software packages that renders users relatively powerless in some instances. As big data and analytics become further integrated with artificial intelligence, it is more critical than ever for sport organizations to consider the proper applications of these methods and approaches. As such, it is also critical to develop policies to foster responsible use of big data and analytics.

Keywords: Big data; Analytics; European sport; Moneyball; Artificial intelligence; Machine learning (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035338382
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