National Football League

NATIONAL FOOTBALL LEAGUE

PREDICTIVE ANALYTICS RESEARCH

Submitted to:

Mr. Danilo Dumantay

Submitted by:

Balais, Christian Gilbert

Caculitan, Chiara

Casicas, Sophia Jenn

Cruda, Abegail

Gose, Isaiah

Mercado, Justin Paolo

June 6, 2016

EXECUTIVE SUMMARY

PART I

INTRODUCTION

Nearly 70 percent of companies deploy big data technology, like predictive analytics tools, according to Gartner. No one could argue that intelligent predictive analytics are playing an increasingly important role in peoples’ daily lives, and this will only become more obvious when they are successfully deployed in spectacularly public fashion.

In the academe, predictive analytics is a very useful and important tool to many business organizations. However, predictive analytics is not limited to management of common types of business and can be extended its business intelligence to sports. Using predictive analytics in sports, to a certain extent, is nothing new. In fact, many sports have undergone a radical transformation in the way in which it recruit and manage players using a field of statistical study where teams are able to base managerial decisions on empirical data rather than solely relying on the “trained eye” of seasoned scouts and veterans.

Like many businesses, the National Football League (NFL) is experimenting with big data to help players, fans, and teams alike.

Diehard fans can, for a fee, access this same database to build their perfect fantasy football team. Because, at heart, the NFL believes that the best fans are engaged fans. They want to encourage the kind of obsessive statistics-keeping that many sport fans are known for.

As a business organization, NFL incorporates big data in their operations just like what most organizations do with big data. Of course, this isn’t the NFL’s first foray into big data. In fact, like other statistics-dependent sports leagues, the NFL was crunching big data before the term even existed.

However, in the...