Paper Info
Title
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.
Year
DOI
Venue
2015
10.4018/IJEIS.2015070101
IJEIS
Keywords
Field
DocType
Big Data, Data Analytics, Data Visualization, Enterprise Systems, Fantasy Football, National Football League (NFL)
Fantasy,Football,Management information systems,Data visualization,Enterprise system,Data analysis,League,Knowledge management,Engineering,Big data
Journal
Volume
Issue
ISSN
11
3
1548-1115
Citations 
PageRank 
References 
2
0.43
6
Authors
2
Name
Order
Citations
PageRank
Carmine Sellitto16810.83
Paul Hawking210114.94