Enterprise Systems and Data Analytics: A Fantasy Football Case Study

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.

[1]  Carmine Sellitto.  Customer Relationship Management Models: A Study of Contemporary Literature to Identify Company-to-Client Business Activities , 2012 .

[2]  Norita B. Ahmad,et al.  Lessons Learned During a Decade of ERP Experience: A Case Study , 2009, Int. J. Enterp. Inf. Syst..

[3]  Bob Stewart,et al.  The special features of sport: a critical revisit , 2010 .

[4]  K. Eisenhardt.  Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[5]  F. Buttle,et al.  Customer Relationship Management: Concepts and Technologies , 2015 .

[6]  Daniel C. Funk,et al.  Strategic Sport Marketing , 1999 .

[7]  James Santomier,et al.  New Media, Branding and Global Sports Sponsorship , 2008 .

[8]  R. Yin.  Case Study Research: Design and Methods , 1984 .

[9]  Windy Dees.  New media and technology use in corporate sport sponsorship: performing activational leverage from an exchange perspective , 2011 .

[10]  R. Baker,et al.  Fundamentals of Sport Management , 2013 .

[11]  Scott Bingley,et al.  Adoption of the Internet in local sporting bodies :an innovation diffusion approach , 2011 .

[12]  Benjamin C Alamar,et al.  Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers , 2013 .

[13]  Jeffrey Needham,et al.  Disruptive Possibilities: How Big Data Changes Everything , 2013 .

[14]  James Santomier,et al.  Public policy and funding New York's new sports venues. , 2012 .

[15]  Heather J. Lawrence,et al.  Selling Premium Seating in Today's Sport Marketplace , 2013 .

[16]  Russell Hoye,et al.  Sport management : principles and applications , 2005 .

[17]  Jeanne G. Harris,et al.  Competing on Analytics: The New Science of Winning , 2007 .

[18]  Jan vom Brocke,et al.  How In-memory Technology Can Create Business Value: Insights from the Hilti Case , 2014, Commun. Assoc. Inf. Syst..

[19]  Celeste See Pui Ng.  A Case on ERP Custom Add-On in Taiwan: Implications to System Fit, Acceptance and Maintenance Costs , 2012, Int. J. Enterp. Inf. Syst..

[20]  Thomas H. Davenport.  Keeping Up with the Quants: Your Guide to Understanding and Using Analytics , 2013 .

[21]  Luke Howie,et al.  Fantasy Sports , 2015 .

[22]  Klaus Krippendorff,et al.  Content Analysis: An Introduction to Its Methodology , 1980 .

[23]  Ahmed Elragal,et al.  ERP and Big Data: The Inept Couple☆ , 2014, CENTERIS 2014.

[24]  Alexander Zeier,et al.  In-Memory Data Management: Technology and Applications , 2012 .

[25]  Barney Tan,et al.  Demystifying case research: A structured-pragmatic-situational (SPS) approach to conducting case studies , 2011, Inf. Organ..

[26]  Paul Hawking,et al.  Business Intelligence Strategy: A Utilities Company Case Study , 2015, Int. J. Enterp. Inf. Syst..

[27]  André Vasconcelos,et al.  A Reference Application Architecture for the CRM Domain: The Portuguese Citizen Space Case Study , 2015, Int. J. Enterp. Inf. Syst..

[28]  Hsinchun Chen,et al.  Sports Data Mining , 2010 .