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Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers second edition [Kietas viršelis]

3.49/5 (123 ratings by Goodreads)
  • Formatas: Hardback, 184 pages, aukštis x plotis: 216x140 mm, 21 figures, 8 tables
  • Išleidimo metai: 28-May-2024
  • Leidėjas: Columbia University Press
  • ISBN-10: 0231205201
  • ISBN-13: 9780231205207
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 184 pages, aukštis x plotis: 216x140 mm, 21 figures, 8 tables
  • Išleidimo metai: 28-May-2024
  • Leidėjas: Columbia University Press
  • ISBN-10: 0231205201
  • ISBN-13: 9780231205207
Kitos knygos pagal šią temą:
""Just as companies have been competing with analytics to enhance profitability, sports teams have been using analytics to gain a competitive advantage on the field of play. The tools of sports analytics are evolving quickly and the use of analytics in sports is now commonplace. Still, due to the constant evolution of technology and techniques, decision makers at sports organizations are often unsure of what is possible, how to begin, how to evaluate an analytics program, and how to continue to drive value from their investment in analytics. Strategic planning and a comprehensive understanding of sports analytics will assist teams in maximizing their investment in their analytic functions, and thus the competitive advantage gained from the program. Sports analytics is a comprehensive field that includes data management, analytic models, and information systems, and the skill set of analytic decision makers often requires understanding of cognitive bias and the impact it can have on decision making. This book takes a comprehensive view of sports analytics and provides teams with an overview of the current state of the use of analytics in pro sports, concrete examples of how analytics has helped teams win, and a roadmap to begin building their own analytics program and gaining more value from their existing program. The second edition will include three new chapters (one on the evolution of the field, one on predictive analytics concepts, one on new tools and methods on the horizon), a revamp of three existing chapters, and updated examples throughout.""--

Data and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use of analytics in sports has become commonplace, teams regularly find themselves making big investments without significant payoff.

This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics. Benjamin C. Alamar—a leading expert who has built high-performing analytics groups—surveys the current state of the use of data in sports, including both specifics around the tools and how to deploy them most effectively. Sports Analytics offers a clear, easily digestible overview of data management, statistical models, and information systems and a detailed understanding of their vast possibilities. It walks readers through the essentials of understanding the value of different types of data and strategies for building and managing an analytics team. Throughout, Alamar illustrates the value of analytics with real-world examples and case studies from both the sports and business sides.

Sports Analytics has guided a range of sports professionals to success since its original publication in 2013. This second edition adds examples and strategies that focus on using data on the business side of a sports organization, provides concrete strategies for incorporating different types of data into decision making, and updates all discussions for the rapid technological developments of the last decade.

This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics.

Recenzijos

Alamar expertly elucidates the importance and value to leagues, teams, and players of a robust and thoughtful approach to data and analytics. It is hard to imagine an aspect of sportsfrom player health and safety and rule evolution to scouting and game strategy to marketing and fan engagementthat is not affected by and cannot be improved through insights gleaned from Alamars strategic approach to data. -- Julie Souza, head of sports, Global Professional Services, Amazon Web Services Sports teams that fail to capitalize on their data will be outcompeted. Alamar delineates a framework for executives to consider how analytics fit in their organization and the tangible value improved decision making brings. With a deft balance of the conceptual and the concrete, he explains the elements needed to launch an analytics group, the pitfalls to avoid, and the plans to both deliver short-term benefits and execute a long-term visionall without unnecessary technical jargon. -- Keith Woolner, principal data scientist, baseball research and development, Cleveland Guardians This second edition of Sports Analytics offers a comprehensive framework for building successful analytics programs in sports organizations. Alamars expertise and experience provide many insightful examples. -- Greg Strizek, president, Strategic Analytics, Inc. Benjamin C. Alamar helped pioneer the sports analytics movement. There are few people more qualified to write this book, which provides actionable information for decision makers and analysts in the field. -- Keith Goldner, vice president of data science, FanDuel A unique and insightful combination of theory and practical application. Highly recommended. * Choice Reviews *

Foreword, by Jessica Gelman
Acknowledgments
1. Introduction to Sports Analytics
2. Data and Data Management
3. Data and Information
4. Information Systems
5. Statistical Models and How to Use Them
6. Predictive Analytics in Action
7. Analytics in the Organization: Innovation and Implementation
8. Data and Decision Making
9. Analytics in the Organization: A Blueprint for Analytic Success
Notes
Index
Benjamin C. Alamar has been a leader in sports analytics for more than fifteen years, working with organizations including ESPN, the Oklahoma City Thunder, and StubHub. He has taught at universities including Rice, Columbia, and MIT. The founder of the Journal of Quantitative Analysis in Sports, Alamar has written for outlets such as ESPN, Analytics magazine, and the Wall Street Journal.