This paper provides a critical review of the adoption of Business Intelligence and Business Analytics (BI&BA)
in SMEs. Business Intelligence (BI), Business Analytics (BA), Small and Medium-sized Enterprises (SMEs), and their
respective combinations were among the keywords searched to find as many relevant articles as possible for this review.
Business Analytics (BA) relies heavily on predictive and explanatory modeling, fact-based management, numerical
analytic and analytical modeling to guide decision-making. Business intelligence (BI), on the other hand, help
entrepreneurs manage their budgets and allocate resources more effectively. In this paper, BI&BA (Business Intelligence
and Business Analytics) has been utilized to cover these data-centric criteria to enhancing corporate decision-making
process within SMEs. BI&BA seems to be a top technical option for enhancing competitive advantage in SMEs, which
have not embraced the BI&BA technology in their business activities. This paper further reviews the assumptions from
various aspects such as BI&BA elements, BI&BA solution, BI&BA implementation, BI&BA benefits, BI&BA
applications, BI&BA adoption, cloud BI&BA, and mobile BI&BA.