Published Paper Details:

In today's increasingly volatile financial landscape, organizations are turning to business intelligence (BI) tools such as Microsoft Power BI to enhance their strategic financial planning capabilities. This review synthesizes current literature, theoretical models, and experimental results to present a Power BI-driven Decision Support Framework tailored for strategic financial planning. The model integrates core functionalities of Power BI--including real-time dashboards, predictive analytics, and data integration--to streamline decision-making processes across the financial value chain. Empirical evidence supports Power BI's effectiveness in improving forecast accuracy, reducing planning cycles, and enhancing decision lead time. However, challenges persist regarding data governance, system integration, and skill gaps. This paper concludes by highlighting future research directions, emphasizing the role of artificial intelligence, deeper machine learning integration, and collaborative financial intelligence systems. The review provides a roadmap for academics and practitioners seeking to optimize strategic financial outcomes using data-driven approaches.