A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

  • Neil Foshay St. Francis Xavier University
  • William Yeoh Deakin University
  • Yee Ling Boo Deakin University
  • Kok-Leong Ong La Trobe University
  • David Mattie St. Francis Xavier University
Keywords: Business intelligence and analytics (BIA), Diagnostic framework, Strategy formulation

Abstract

Business intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design science paradigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriate input from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results to inform BIA strategy formulation. Feedback from participating organizations indicates that BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

Author Biographies

Neil Foshay, St. Francis Xavier University
Schwartz School of Business
William Yeoh, Deakin University
Department of Information Systems and Business Analytics
Yee Ling Boo, Deakin University
Department of Information Systems and Business Analytics
Kok-Leong Ong, La Trobe University
La Trobe Business School
David Mattie, St. Francis Xavier University
Technology Support Group
Published
2015-09-22
How to Cite
Foshay, N., Yeoh, W., Boo, Y. L., Ong, K.-L., & Mattie, D. (2015). A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness. Australasian Journal of Information Systems, 19. https://doi.org/10.3127/ajis.v19i0.1178
Section
Research on Business Analytics Applications

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