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25. How Sports Analytics Drives Decision Making in Ticket Sales and Marketing with Billy Nayden
What are some of the ways Sports Analytics are being used to drive business decisions for companies like the WWE? How can you get a sports analytics job? Billy Nayden, Fan Analytics Manager at WWE, comes on the show to talk about his role and how the WWE is using data for their business. Billy gives us real projects that he’s worked on, and how they are leveraging data to improve their decision making when it comes to ticket sales. Billy shares the value of creativity in sports, storytelling, statistics, and more.
Time stamps:
00:00 Introduction
01:48 Interest in sports led to pursuing analytics. Transitioned from ticket sales to data science.
06:00 Limited opportunities in team sports analytics; diversify.
09:52 Analyze market grades and regional differences for promotions.
13:10 Python is crucial in data analysis and modeling. Understanding statistics is also important for the industry.
16:30 Hard skills focus, learning, master's degree, accountability, network
19:36 Buddies in various industries boost data science.
21:32 Business analytics is complex but brings simple solutions.
25:29 Collaborative process of data analysis and reporting.
28:36 Fans' ticket-buying habits remain consistent in changing markets, relying heavily on historical data to project sales.
31:46 WWE successful in various markets, considering similarities.
35:57 Creativity is key in analytics-driven industries.
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By TechGuideWhat are some of the ways Sports Analytics are being used to drive business decisions for companies like the WWE? How can you get a sports analytics job? Billy Nayden, Fan Analytics Manager at WWE, comes on the show to talk about his role and how the WWE is using data for their business. Billy gives us real projects that he’s worked on, and how they are leveraging data to improve their decision making when it comes to ticket sales. Billy shares the value of creativity in sports, storytelling, statistics, and more.
Time stamps:
00:00 Introduction
01:48 Interest in sports led to pursuing analytics. Transitioned from ticket sales to data science.
06:00 Limited opportunities in team sports analytics; diversify.
09:52 Analyze market grades and regional differences for promotions.
13:10 Python is crucial in data analysis and modeling. Understanding statistics is also important for the industry.
16:30 Hard skills focus, learning, master's degree, accountability, network
19:36 Buddies in various industries boost data science.
21:32 Business analytics is complex but brings simple solutions.
25:29 Collaborative process of data analysis and reporting.
28:36 Fans' ticket-buying habits remain consistent in changing markets, relying heavily on historical data to project sales.
31:46 WWE successful in various markets, considering similarities.
35:57 Creativity is key in analytics-driven industries.