Data and Analytics in the NFL

Paul Ballew, the NFL's first Chief Data and Analytics Officer, discusses the evolving use of data science in the league, including building out a team of data scientists, collaborating with clubs and teams to apply analytics for on-field decisions, and analyzing data to understand fan behavior. Among the topics we discuss are: -- About Paul Ballew -- What is the role of data and analytics in the NFL -- Data governance in sports and the NFL -- Data collection and storage in the NFL -- How to choose the right data to meet business needs? -- Data and analytics at the Super Bowl -- Data sharing with teams in the NFL -- How to work with customers and partners -- How to determine the economic value of data? -- Where are data and analytics headed in the NFL? Subscribe to our newsletter: https://www.cxotalk.com/subscribe Watch the episode and read the full transcript: https://www.cxotalk.com/episode/data-analytics-nfl Paul Ballew currently serves as the National Football League’s Chief Data & Analytics Officer. Based in New York, Paul directs the League’s extensive data and analytics operations across the Game, Fans and Engagement. This mission is centered on ensuring that the NFL’s data assets and advanced analytic capabilities are leveraged to improve on-field football, overall fan experience and commercial outcomes for the League, clubs and partners. In advancing the Game, Paul and team support Football Operations’ critical workstreams and Player Health & Safety’s major initiatives, where the power of analytics is critically important to the future of the game. Paul and team are also leading the key initiatives on deepening fan engagement through enhanced fan modeling, predictive analytics, and the personalization of content and experiences. Previously he served as Chief Data and Analytics Officer for Loblaw LTD., the largest retailer, pharmaceutical provider, and real estate investment trust in Canada. Prior to Loblaw, Paul’s decades of experience in the field includes leading the formation of the data and analytics organizations at Ford Motor Company, Nationwide Financial, Dun and Bradstreet and General Motors.