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Sport Analytics : A data-driven approach to sport business and management

By: (Edited by) Ceyda Mumcu , (Edited by) Gil Fried

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Ksh 11,350.00

Format: Paperback / Softback

ISBN-10: 1138667137

ISBN-13: 9781138667136

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 2nd, 2016

Print length: 256 Pages

Weight: 502 grams

Dimensions (height x width x thickness): 21.50 x 24.60 x 2.20 cms

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This is the first textbook to explain how the big data revolution is having a profound influence across the sport industry, and to show how sport business professionals can use analytical techniques to improve their professional practice. While other books on sports analytics have focused almost exclusively on player performance data, this book shows how analytics can be applied in every functional area of sport business.

The increasing availability of data has transformed the way sports are played, promoted and managed. This is the first textbook to explain how the big data revolution is having a profound influence across the sport industry, demonstrating how sport managers and business professionals can use analytical techniques to improve their professional practice.

While other sports analytics books have focused on player performance data, this book shows how analytics can be applied to every functional area of sport business, from marketing and event management to finance and legal services. Drawing on research that spans the entire sport industry, it explains how data is influencing the most important decisions, from ticket sales and human resources to risk management and facility operations. Each chapter contains real world examples, industry profiles and extended case studies which are complimented by a companion website full of useful learning resources.

Sport Analytics: A data-driven approach to sport business and management is an essential text for all sport management students and an invaluable reference for any sport management professional involved in operational research.


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