Business Intelligence Systems for Strategic Financial Management

Abstract

Business Intelligence (BI) systems have become essential tools for strategic financial management by transforming large volumes of financial data into actionable insights for planning, forecasting, budgeting, investment analysis, risk management, and decision-making. Unlike traditional financial management methods that relied on historical reporting and manual analysis, BI technologies automate data collection, integrate information from multiple sources, and provide real-time analytical capabilities. Key BI components such as data warehousing, OLAP, dashboards, reporting tools, data mining, and predictive analytics help organizations monitor performance, identify trends, assess risks, and develop evidence-based financial strategies. BI adoption across industries, including banking, manufacturing, healthcare, and telecommunications, has improved decision quality, reporting efficiency, forecasting accuracy, financial transparency, and organizational competitiveness. This study presents a systematic review of BI systems in strategic financial management before 2019, examining their evolution, architecture, analytical methods, and impact on financial performance. The findings indicate that BI frameworks significantly enhance financial planning, governance, and strategic decision-making despite challenges related to data integration, organizational resistance, and implementation costs. Overall, BI technologies serve as a foundation for modern data-driven financial decision support systems.