Role of Business Intelligence in Actuarial Accounting to Enhancing Predict Banking Risks

This research examines the pivotal role of Business Intelligence (BI) in Actuarial Accounting (AA) within the banking sector, principally concentrating on its influence on generating risk forecasts. Thus employing a descriptive-analytic method, the research conducted a survey of commercial banks in Sudan, selecting two banks as a representative sample. The focused sampling technique was applied, expanding the sample size to 267 individuals in this study with a primary prominence on managers in relevant departments. The outcomes reveal a compelling relationship between BI and AA dimensions, underscored by three key facets: the augmentation of Analytical Skills (AS), the development of Banking Sector Performance (EP), and the easing of Predicting Banking Risks (PBR). Notably, BI increases risk measurement methodologies, empowering actuary accountants to adeptly expect and address emerging risks within the banking sector. The study validates statistical significance in these relationships, shedding light on how BI not only contributes to the analytical capabilities of professionals but also substantially influences the overall performance of the banking sector, especially in the critical domain of risk forecasting. This research offers valuable insights into the interconnected dynamics of BI and AA, showcasing its practical implications for strategic decision-making and risk management in the banking industry.