Open Source Alternatives for Business Intelligence: Critical Success Factors for Adoption

Author

Zixuan Zhao, Computer Information Systems, California State Polytechnic University, Pomona, Pomona, CA, United States.Follow
Carlos Navarrete, Computer Information Systems, California State Polytechnic University, Pomona, Pomona, CA, United States.Follow
Alicia Iriberri, Management Information Systems, University of Illinois Springfield, Springfield, IL, United States.Follow

Abstract

The purpose of this research is to identify critical factors that affect the adoption of Open Source Business Intelligence (OPBI) tools and to compare the differences between OPBI and Proprietary Business Intelligence (PBI) tools. Based on the Technology Acceptance Model, an organizational adoption model was designed to analyze four cases of organizations that have adopted Business Intelligence (BI) tools. The cases were documented using a tested protocol and a set of interviews. The analysis of the cases shows that organizations with fewer resources and simpler IT selection processes tend to adopt OPBI. The most cited reason for using OPBI software is cost savings. The results also reveal that for most users OPBI does not require sophisticated BI specialists and offers as many useful features as PBI tools. These findings are important to BI vendors, users, developers, and organizations interested in adopting BI technologies.

Recommended Citation

Zhao, Zixuan; Navarrete, Carlos; and Iriberri, Alicia, "Open Source Alternatives for Business Intelligence: Critical Success Factors for Adoption" (2012). AMCIS 2012 Proceedings. 29.
https://aisel.aisnet.org/amcis2012/proceedings/DecisionSupport/29