Sports analytics teams need the right people, tech, and data-driven culture to boost performance and fan engagement.
Authors
Sandeep Kumar Singh, Associate Professor, Jindal Global Business School, O.P. Jindal Global University, India
Hewawasam P. G. D. Wijethilak, University of Colombo, Sri Lanka
Summary
This chapter will review the key building blocks and best practices to assemble an effective sports analytics team in the contemporary sports landscape. It covers the key functions, competence needs, hiring and recruitment strategies, and the design and dynamics of teamwork. It also articulates the technological tool requirements and the infrastructures involving data collection and processing, where it strongly emphasizes the importance of instituting a decision-making culture with data. It is, therefore, an examination of some trends that might shape the future of sports organizations, like being introduced by artificial intelligence and video analytics, and also challenges associated with such analyses and enhancements. From this analysis, sports organizations stand to position themselves accordingly to enable analytics help improve performances, inform decision-making, and engage fans better.
Published in: AI and Machine Learning Applications in Sports Analytics
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