"This book addresses the fundamental use of analytical metrics to inform sport managers, framing sport analytics for practical use within organizations. The book is organized to present the background of sport analytics, why it is useful, selected techniques and tools employed, and its applications in sport organizations. The text guides the reader in selecting and communicating information in a useable format, and the translation of metrics in informing managers, guiding decisions, and maximizing efficiency in achieving desired outcomes"--
Applied Sport Business Analytics With HKPropel Access provides a practical explanation of the use of data analytic metrics in sport, exploring selected techniques and tools as well as addressing fundamental applications of analytics within modern sports organizations. Current and aspiring sport managers will develop their understanding of how analytics can be used strategically to make data-informed decisions by selecting and translating data into evidence and meaningful metrics. The text begins with an introduction to the world of analytics, exploring the social, economic, and business foundations that form the history of data analytics. Different strategies used to make data-driven decisions are discussed to demonstrate the importance of analytics in a modern sport context. The text explains terms and methods that are typical in sport analytics, bridging the gap between sport managers and sport analysts to help them understand the perceptions and needs of one another. The text’s focus on quantitative statistical analysis—with its exploration of modeling, predictive analytics, and forecasting—helps students learn how to analyze data and make use of it. Students will then learn to turn data into visual representations such as cluster diagrams to reveal clear results. With practical exercises that utilize five included datasets and are heavily support by related video tutorials delivered through HKPropel, even those without programming experience will learn how to program and transform complex statistical data into easy-to-understand visuals. Case studies exploring real-world scenarios—including player position analysis in women's professional basketball, esport player popularity and market analysis, and prospective player evaluation for the NFL draft—examine managerial implications to help develop understanding of what questions to ask, how to interpret data, and how to use data to make informed decisions. Finally, an in-depth look at how cutting-edge analytics mechanisms were used to analyze over one million tweets associated with the NBA over an entire season will illustrate how to successfully work with large amounts of data to achieve results. Concepts throughout the book are made easy to understand through exercises, datasets, and video lectures on key topics, all accessible through HKPropel. These tools combine to provide valuable experience and practical understanding. Interview With a Professional sidebars offer additional real-world glimpses into the use of analytics by practitioners in sport business. Applied Sport Business Analytics will provide a broader and deeper knowledge of the use of sport analytics for aspiring sport managers, data analysts, and practitioners alike. It will prepare them to translate metrics in a useful way that allows them to make data-informed and data-driven decisions to achieve desired outcomes in their organization. Note: A code for accessing HKPropel is not included with this ebook but may be purchased separately.
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.
Provides readers with an analytical foundation required to do sport analytics and an overview of the canonical methods in sport analytics. To achieve the methods simultaneously, the book introduces the most important topics in sport analytics and teaches the practical and theoretical considerations.
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.
Applied Sport Management Skills, Fourth Edition With HKPropel Access, takes a practical approach for teaching students how to become strong leaders and managers in the world of sport. Organized around the central management functions of planning, organizing, leading, and controlling, and addressing the Commission on Sport Management Accreditation (COSMA) Common Professional Component topics and North American Society for Sport Management (NASSM) guidelines, the fourth edition has been extensively updated with hundreds of new references and sport examples. The text employs a three-pronged approach for teaching management theory, putting theories into practice, and developing students’ management skills. Timely discussions and case studies address the impacts of COVID-19; Black Lives Matter initiatives; name, image, and likeness rules; women in executive positions; corporate social responsibility; data analytics; and more. While other texts focus on learning about sport management, Applied Sport Management Skills enables students to apply the principles while developing the skills to become effective sport managers. Interactive online learning tools available through HKPropel complement activities found in each chapter: Flash-card activities help students learn key terms. Self-assessments, which ask students to identify their strengths and weaknesses and plan to improve shortcomings, are now assignable, trackable, and automatically scored. Applying the Concepts quizzes, which challenge students to identify management concepts illustrated in various situations, are now trackable and automatically scored. Time-Out features, in which students apply management concepts to their personal sport and work experiences, are now assignable instructor-scored assessments. Case studies are now supplemented by 10-question automatically scored quizzes and include three open-ended discussion questions. Additional assignments available in downloadable documents for students to complete and submit to the instructor further facilitate the application of the concepts presented in the text: Sport Management Professionals @ Work activities provide a cohesive thread to keep students focused on how sport managers use the concepts on the job. Skill-Builder Exercises present real-world scenarios designed to help future managers handle day-to-day situations such as setting priorities, conducting job interviews, handling conflict, and coaching employees. Sports and Social Media Exercises introduce students to the role of social media in managing sport organizations. Students review popular social media sites such as Facebook, Twitter, and LinkedIn and visit sport websites. Game Plan for Starting a Sport Business features ask students to perform managerial tasks such as developing an organization structure and brainstorming ideas for leading employees. With Applied Sport Management Skills, students will be primed for an exciting career in sport management by gaining a thorough understanding of management theories and developing the acumen to apply them. Note: A code for accessing HKPropel is not included with this ebook but may be purchased separately.
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 introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.
This book explores sport marketing analytics, an essential and crucially important aspect of contemporary sport business. Successful sport marketing begins and ends with the consumer, so understanding the consumer experience is critical. Marketing Analysis in Sport Business demonstrates how rigorous analytical procedures are the key to developing effective, evidence-based marketing practices that reflect real consumer needs. Presenting cutting-edge case studies of sport marketing analytics in action, the book explores topics such as digital communications, social media, digital ticketing, event marketing, the economic impact of COVID-19, developing sport brands, and conducting research with athletes and event participants. Written by a team of authors from 15 countries, including Australia, China, France, Iran, Italy, Japan, Mexico, New Zealand, Serbia, South Korea, Spain, Taiwan, the United Kingdom, the United States, and Venezuela, the book offers insight from a variety of cultural contexts and new perspectives on the global sport industry. Marketing Analysis in Sport Business is illuminating reading for any advanced student, researcher or professional working in sport business and management, sport development, marketing, strategic management, or international business.
