Sport business analytics : using data to increase revenue and improve operational efficiency

書誌事項

Sport business analytics : using data to increase revenue and improve operational efficiency

C. Keith Harrison, Scott Bukstein

(Data analytics applications)(An Auerbach book)

CRC Press, c2017

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group. The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in: Ticket pricing Season ticket member retention Fan engagement Sponsorship valuation Customer relationship management Digital marketing Market research Data visualization. This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations. Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.

目次

Evolution and Impact of Business Analytics in Sport. Analytics and Ticketing Innovations at the Orlando Magic. Ticket Markets in Sport: Is the Secondary Market the Primary Market?. Customer Relationship Management and Fan Engagement Analytics. The Aspire Group's Ticket Marketing, Sales and Service Philosophy. Empirical Research Methods: Season Ticket Holder Management and Fan Engagement. Developing and Measuring the Effectiveness of Data-Driven Direct Marketing Initiatives. Fan Engagement, Social Media, and Digital Marketing Analytics at Duke University. Leveraging Digital Marketing to Engage Customers and Drive Revenue. Communicating the Value of Sports Sponsorship. Market Research Analytics and Data Driven Innovation. Talent Analytics: Utilizing Analytics to Evaluate Performance . Data Visualization and Data-Driven Storytelling. Teaching a Sport Business Analytics Class. Index.

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