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Data-driven decision-making (DDDM) has become a cornerstone in modern IT and business landscapes, leveraging the immense potential of artificial intelligence (AI) and data science to transform raw data into actionable insights. This review paper explores the intersection of these domains, highlighting methodologies, applications, benefits, and challenges associated with integrating AI and data science into business intelligence (BI). Through an extensive review of current literature, this paper elucidates how organizations can harness these technologies to drive strategic decisions, optimize operations, and maintain a competitive edge.
Michael et al. (2024) studied this question.