Unlocking the Potential of BI-Enhancing Banking Transactions Through AI&ML Tools

The study’s aims to investigate the effect of business intelligence systems on the bank operative efficiency and profitability insights. A simple random sampling method is employed to gather 385 responses from 33 commercial bank branches, which served as the basis for the study. The propositions are confirmed through application the partial least squares structural equation modelling method in this study. The measurement model’s reliability and validity as well as the structural model’s fitness are checked in this study. Further, the review uncovers that functional productivity through business insight decidedly influences bank’s benefit. According to this study, business intelligence enables the firm to earn good returns than their competitors. This claim is based on competitive theory. As a result, banks can ensure a competitive advantage by offering better options at a lower cost than their rivals. In addition, the study contends that, according to resource-based view theory, the business intelligence-based applications by banker can help to improve banks abilities as well as results over time. As a result, the study suggests that artificial intelligence-based business intelligence systems must be applied in banking businesses and improves the efficiency of bank management, academics, and policymakers’ decision-making.