Critical Success Factors of Business Intelligence Systems Implementation

Abstract

Business intelligence (BI) systems enable rapid decision-making in an era of big data and constantly evolving market dynamics. Yet, the majority of BI implementation efforts fail to deliver productive outcomes. We use a technical, organizational, and process perspective to identify significant criteria that contribute to successful implementation. A taxonomy of perspectives, criteria, and factors is introduced. This work provides insights into developing a decision model to support successful BI implementation.