Sport business analytics : using data to increase revenue and improve operational efficiency / C. Keith Harrison, University of Central Florida, Orlando, USA, Scott Bukstein, University of Central Florida, Orlando, USA.
Material type:
TextSeries: Data analytics applications ; 1Publisher: Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2017]Copyright date: ©2017Description: 1 online resourceContent type: - text
- computer
- online resource
- 9781315367613
- 9781315331591
- 9781498761277
- 796.069 S764
- GV713 .S6736 2017
An Auerbach Book--cover.
Chapter 1. Evolution and impact of business analytics in sport / Scott Bukstein -- Chapter 2. Analytics and ticketing innovations at the Orlando Magic / Jay Riola -- Chapter 3. Ticket markets in sport : is the secondary market becoming the primary market? / Troy Kirby -- Chapter 4. Customer relationship management and fan engagement analytics / Ray Mathew -- Chapter 5. The aspire group's ticket marketing, sales, and service philosophy / Michael Farris -- Chapter 6. Empirical research methods : season ticket holder management and fan engagement / Michael Lewis, Manish Tripathi, and Michael Byman -- Chapter 7. Developing and measuring the effectiveness of data-driven direct marketing initiatives / John Breedlove -- Chapter 8. Fan engagement, social media, and digital marketing analytics at Duke University / Ryan Craig -- Chapter 9. Leveraging digital marketing to engage consumers and drive revenue / Michal Lorenc and Alexandra Gonzalez -- Chapter 10. Communicating the value of sports sponsership / Adam Grossman and Irving Rein -- Chapter 11. Market research analytics and data-driven innovation / C. Keith Harrison and Suzanne Malia Lawrence -- Chapter 12. Talent analytics : utilizing analytics to evaluate employee performance / Brandon Moyer -- Chapter 13. Data visualization and data-driven storytelling / Ryan Sleeper -- Chapter 14. Teaching a sport business analytics course / Michael Mondello.
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