This research aims to analyze the impact of Business Intelligence (BI) on enhancing corporate profitability by addressing the stages of data collection, analysis, reporting, and decision-making. The goal is to verify the extent to which BI tools contribute to enabling managers to make strategic decisions based on accurate and reliable information, which positively reflects on the efficiency of profitability management. Using a descriptive-analytical approach, an electronic questionnaire (The Impact of Business Intelligence Application on Corporate Profitability Management) comprising 32 items was administered. The instrument measured two main variables. The first, Business Intelligence (BI), consisted of 17 items divided into three principal dimensions: Data Collection and Accuracy (6 items), Data Analysis (5 items), and Reporting and Decision Making (6 items). The second variable, Profitability Management, included 15 items, equally divided into three dimensions: Customer Monitoring and Behavior Analysis (5 items), Market Analysis and Trend Forecasting (5 items), and Strategy Guidance and Decision Making (5 items). The results indicated a positive and statistically significant relationship between BI and Profitability Management. The dimension of Reporting and Decision Making exerted the strongest influence coefficient is 0.451, followed by the data collection and Accuracy dimension coefficient is 0.356, and finally data analysis coefficient is 0.200. The proposed model demonstrated high explanatory power, accounting (the coefficient of determination) is 80.6% of the variance in profitability management. The current research recommends establishing specialized data governance offices, intensifying training programs on BI system usage, linking performance indicators (KPIs) to profitability levels, and enhancing data quality through electronic verification mechanisms. Furthermore, it suggests developing analytical capabilities and adopting machine learning techniques to transform analytical reports into executive decisions that support organizational performance and profitability.

Keywords: Business intelligence - Profitability management - Data collection and accuracy - Data analysis - Reporting and decision making.