Opportunities and Challenges for AI-supported Business Intelligence Systems – A Delphi Study

Abstract

In a progressively data-driven environment, business intelligence has emerged as a crucial function fostering efficiency, competitiveness, and innovation. Thus, the growing volume of data necessitates more extensive analysis. In addition, ensuing data complexity requires increasing capacities of skilled workers. Using artificial intelligence appears promising to not only handle but utilize increasing data volume and variety. While artificial intelligence adoption offers numerous opportunities, it also presents challenges alike. The objective of our research is to identify and synthesize the opportunities and challenges associated with incorporating artificial intelligence into business intelligence systems. To this end, we conducted a structured literature review and subsequently evaluated our findings through a Delphi study with experts from practice. Our results contribute to both practice and academia regarding potentials for harnessing opportunities and mastering challenges towards the future of artificial intelligence in business intelligence systems.