The increasing availability of educational data has transformed how educational institutions plan, manage, and evaluate academic operations. Data-Driven Decision-Making (DDDM) has emerged as a strategic approach that enables educational leaders to utilize evidence-based insights for improving institutional effectiveness, student achievement, resource allocation, and policy implementation. This study investigates the role of data-driven decision-making in educational management and examines its impact on organizational performance, academic outcomes, and strategic planning. A mixed-method research design involving 620 participants, including administrators, faculty members, and academic support staff from higher education institutions, was employed. Quantitative data were analyzed using descriptive statistics and regression analysis, while qualitative insights were gathered through interviews and focus group discussions. Findings reveal that institutions adopting data-driven management practices demonstrate improved operational efficiency, enhanced student outcomes, and better strategic decision-making capabilities. However, challenges related to data quality, technological infrastructure, and data literacy remain significant barriers. The study concludes that effective integration of educational analytics can substantially improve institutional governance and educational quality.