Super Bowl Big Data Analytics

Ian Armas Foster

When Vince Lombardi built his Green Bay Packers team that won the very first Super Bowl 46 years ago, he looked for players who would look good in Packer green. Forty-six years later, teams like the 49ers are starting to follow baseball’s example and use data analytics to help build their roster. It stands to reason that one of the first teams to fully embrace an analytical method to determining player performance is one located near Silicon Valley and led by Stanford’s former head coach.

The game will be the most-watched television program of the year. The National Football League is already the most popular sports league in the United States, but this game presents an opportunity to showcase their offerings to the greater populace. While the NFL is often considered only as a sporting entity, it is important to remember that it is also a multi-billion dollar business. And like any other multi-billion dollar business, they need to use analytics to connect with their fans and please their customers.

People watch commercials and view advertisements throughout the year. Yet shelling out for an ad during the Super Bowl virtually guarantees that you will reach your target audience.

Increasingly, big data and data analytics permeate he football game and the advertisers that help pay for it. Today we run down some of the areas where big data and data analytics have infiltrated America’s favorite sport and biggest spectacle.

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