Cost management in the construction industry is often hampered by fragmented systems and reliance on manual processes, such as spreadsheets and non-integrated platforms. This lack of centralization limits real-time insights and increases inefficiencies. Business Intelligence (BI) offers a transformative approach to address these challenges, enabling seamless data integration, predictive analytics, and actionable insights. This paper presents a conceptual methodology for leveraging BI to enhance cost management in construction projects. It examines how BI tools can unify disparate data sources, streamline cost tracking, and improve budgeting and forecasting accuracy. By integrating real-time visualization and predictive capabilities, the proposed framework demonstrates how BI can reduce errors, improve decision-making, and optimize resource allocation. Illustrated through practical scenarios, the study highlights the measurable benefits of adopting BI, such as increased cost predictability and improved operational efficiency. The findings underscore the potential of BI to shift cost management practices from manual, error-prone methods to a data-driven, integrated approach. This paper provides a conceptual model for construction companies and investors to harness the power of BI for superior cost control and strategic advantage.