Modeling the Critical Success Factors for Business Intelligence Implementation: An ISM Approach

Abstract

Business intelligence (BI) helps organizations to make better and quicker decisions. The primary requirement, as per previous studies, for any successful BI implementation in an organization and its' stakeholders, is to understand and pay heed to the vital issues and factors governing it. The objective of this study is, thus, to analyze the various critical success factors (CSF’s) for Business Intelligence Implementation, in context to the Indian sub-continent. In this qualitative study, the CSF’s for BI implementation are classified, through the review of the literature and to identify the relationship among the CSF's, Interpretive Structural Modeling (ISM) is applied along with MICMAC classification method. The ISM approach's outcome shows that management support and business goal alignment are the most significant driving factors for implementing BI. These findings may help recognize the crucial facts that affect the firms adopting BI in India and give some insights for other countries