Enhancing Financial Decision-Making Through Automated Business Intelligence Systems

Abstract

In today's competitive IT market, integrating BI tools is crucial for optimizing financial data analysis and decision-making. This study focuses on an automated approach: constructing a robust data warehouse, segmenting data with a hybrid method, and applying advanced data mining for processing complex financial data. The research showcases significant impacts across Metric Companies A, B, and C, which operate in Company A achieved a 15% revenue growth through real-time financial analysis and trend identification, while Company B improved profitability by 20% via insights into cost management and strategic pricing adjustments. Additionally, Company C enhanced asset efficiency and financial performance by 25% by optimizing asset allocation strategies. This study emphasizes the pivotal role of automated BI systems in enhancing financial performance and decision-making across various organizational contexts.