Enterprise Systems and Data Analytics: A Fantasy Football Case Study

Abstract

In sport there has been a reluctance to adopt new forms of technology unless it is associated with improving performance. However, in recent times, professional sport bodies have commenced using enterprise systems and data analytics for off-field activities. The authors use a case study approach in the paper to document the manner in which the National Football League (NFL) made available its vast array of historical and contemporary data to Fantasy Football participants through the adoption of an enterprise system that included in-memory processing and data analytics capabilities. Through a new player comparison tool, optimum player selections are made, enabling people to make more informed decisions on the management of their fantasy team. Furthermore, by making available its unique assortment of data to fantasy players, the NFL was able to expand its Fantasy Football platform. The paper provides insight into how other sporting bodies might be able to leverage their data capabilities.