Business Intelligence Strategy: Two Case Studies

Business Intelligence Strategy: Two Case Studies

Paul Hawking (Institute for Logistics and Supply Chain Management, College of Business, Victoria University, Melbourne, Australia) and Carmine Sellitto (Institute for Logistics and Supply Chain Management, College of Business, Victoria University, Melbourne, Australia)
Copyright: © 2017 |Pages: 14
DOI: 10.4018/IJBIR.2017070102

Abstract

Business Intelligence has been adopted across numerous industry sectors where the commensurate benefits have been reported as being significant to those that fall short of expectations. Indeed, an effective strategy that aligns company objectives and Business Intelligence has been shown to be an important factor in firm realizing organizational benefits. Using a case study approach, the paper documents the key aspects of two companies' Business Intelligence strategy that directly enhanced informational requirements. The paper presents a novel description of Business Intelligence strategies that will provide valuable lessons for not only researchers, but also industry practitioners.
Article Preview

Literature Review

Enterprise Resource Planning (ERP) systems are important in allowing companies to improve their business capabilities and performance (Hawking and Sellitto, 2015). Early work by Davenport et al. (2003) highlighted how firms used their ERP systems to undertake activities that allowed them to not only create business benefits, but to subsequently sustain competitive advantage over time. The realized benefits associated with ERP systems adoption directly reflect how business processes are made more efficient and effective across corporate functions (Hawking et al., 2011). According to Davenport et al. (2003), ERP systems adoption should dynamically progress through

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 10: 2 Issues (2019): 1 Released, 1 Forthcoming
Volume 9: 2 Issues (2018)
Volume 8: 2 Issues (2017)
Volume 7: 2 Issues (2016)
Volume 6: 2 Issues (2015)
Volume 5: 4 Issues (2014)
Volume 4: 4 Issues (2013)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing