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Data-driven decision making in IT: Leveraging AI and data science for business intelligence

Year: 2024

Type: article

Abstract: 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.

Source: World Journal of Advanced Research and Reviews

DOI: 10.30574/wjarr.2024.23.1.2010

Authors: Comfort Idongesit Michael, Oluwaseun Johnson Ipede, Adejoke Deborah Adejumo, Ibrahim Oyeyemi Adenekan, Damilola Adebayo, Adefisayo Simon Ojo, Praise Ayomide Ayodele

Institutions: Georgia Southern University, University of Louisiana at Lafayette, Teesside University, Washington State University, Southern Illinois University Edwardsville

Language: English

Topic: Big Data and Business Intelligence

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4400593464

FWCI: 15.85

Cites: 1

Cited by: 56

Related to: 10