Abstract:
Business intelligence (BI) software applications enable rapid decision-making in an environment of vastly expanding amounts of data and constantly evolving market dynamic...Show MoreMetadata
Abstract:
Business intelligence (BI) software applications enable rapid decision-making in an environment of vastly expanding amounts of data and constantly evolving market dynamics. However, the literature suggests that about 70% of BI implementation efforts fail to deliver productive outcomes for decision-makers. For a comprehensive assessment of BI implementation failures, this research considers three perspectives: technical, organizational, and process (TOP) and the significant criteria that comprise them. These represent failures as well the absence of success factors. A literature review was performed to determine the criteria that are the elements of the TOP perspectives. A taxonomy of perspectives, criteria, and factors were developed, representing the TOP impacts of BI implementation failures. The review included detailed definitions of each element. This is a critical stage in building a decision model for the assessment of successful types of BI implementations.
Published in: 2022 Portland International Conference on Management of Engineering and Technology (PICMET)
Date of Conference: 07-11 August 2022
Date Added to IEEE Xplore: 14 September 2022
ISBN Information:
Print on Demand(PoD) ISSN: 2159-5100