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.
Keywords
Business Intelligence (BI), Small and Medium-sized Enterprises (SMEs), Business Analytics (BA)
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Tina Persson
Tina Persson
School of Management, University of Washington, Seattle, WA.
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Cite this article
Morgan Ericsson and Tina Persson, “A Review of Business Intelligence and Analytics in Small and MediumsizedEnterprises”, Journal of Enterprise and Business Intelligence, vol.2, no.2, pp. 077-088, April 2022. doi: 10.53759/5181/JEBI202202009.
