| Description |
1 online resource (278 pages) |
| Contents |
Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; List of illustrations; Notes on contributors; Foreword; Acknowledgments; Introduction; Part I Data 101; 1 An introduction to analytics and data; Introduction; Analytics and its importance in the sport industry; What is data?; 1 Data relevance -- what data is needed?; 2 Data source -- where can this data be obtained?; 3 Data quantity -- how much data is needed?; 4 Data quality -- how can the data be made more accurate and valuable for analysis?; Types of data; Some key statistical concepts; Data analysis |
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Regression analysisLogistic regression analysis; Decision trees; Time series analysis; Cluster analysis; Sentiment analysis; Case study: managing a youth soccer organization's data; Conclusion; References; 2 The data ecosystem; How to get the best system; Compatibility; Processing data; Cost; Speed of delivery; System operation; Case study: data management for a professional team; Keep it simple; Conclusion; References; Part II Analytics in functional areas; 3 The data game: Analyzing our way to better sport performance; The world of professional sport: from big business to big data |
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The evolution of sport analyticsThe driving forces of sport analytics; Data management; Sport technology; Force plate technology; Wearable technology; "Smart" Clothing and Equipment; Case study: use of GPS to predict training loads in Professional Australian Football; Case study: analytics at the 28th Southeast Asian (SEA) Games 2015; Machine learning; The future of sport: predictive analytics; Conclusion; References; 4 Strategic talent management analytics; Introduction; What is Strategic Talent Management (STM)?; What is analytics? |
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Case study: can numbers tell the whole story about an employeeApplications of strategic talent management analytics; Talent planning; Talent engagement and retention; Case study: catching managerial issues using analytics; Implications of STMA for the twenty-first-century organization; References; 5 Analytics in sport marketing; Development of market research in sport; Customer analytics in sport; Customer value estimation; Propensity models; Segmentation; Customer profiling; Customer acquisition; Campaign evaluations; Analytics in ticket pricing; Analytics in sport sponsorship |
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Case study: sponsorship evaluationCase study: concessions project planning: soft drinks vs. beer provisions; Conclusion; References; 6 Analytics in digital marketing; Introduction; Rise of digital media and its impact on marketing; Email marketing; Social media marketing; Case study: examination of a social media account; Web analytics; Conclusion; References; 7 Sport finance by the numbers; Introduction; Traditional financial analysis; Balance sheet; Income statement; Financial ratios; Liquidity; Asset management; Leverage; Profitability; Market value; Beyond traditional financial analytics |
| Notes |
Profit maximization |
|
Print version record |
| Subject |
Sports administration -- Data processing
|
|
Sports administration -- Data processing
|
| Form |
Electronic book
|
| Author |
Mumcu, Ceyda
|
| ISBN |
9781317212874 |
|
1317212878 |
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