This review article explores the strategic role of data analysis in optimizing financial resources within organizations. It synthesizes insights from existing literature to highlight the importance of data-driven approaches in enhancing organizational efficiency and competitiveness. The article examines key theories, such as the Resource-Based View and Data-Driven Decision-Making, which underpin the optimization of financial resources. A comprehensive analysis of previous studies reveals critical variables influencing this relationship, including financial data quality, strategic alignment, operational efficiency, and technological integration. The review also discusses the impact of data analysis on decision-making, operational efficiency, and risk management, emphasizing its role in aligning financial investments with strategic objectives. Furthermore, it outlines future directions for research, including the integration of AI and blockchain technologies to enhance predictive capabilities and financial transparency. By providing a structured overview of current knowledge and future research avenues, this article offers valuable insights for practitioners and scholars seeking to leverage data analysis for optimizing financial resources in dynamic business environments. The findings underscore the necessity of adopting data-driven strategies to achieve operational excellence and maintain a competitive edge.