Leveraging Big Data for Student Success and Institutional Growth

The utilization of Big Data in higher education is becoming increasingly important to enhance student success and institutional growth. This study aims toexplore how Big Data analytics can improve student learning experiences and optimize institutional strategies. Using predictive data analysis and machinelearning methods, this research examines academic success patterns, student retention rates, and institutional operational efficiency. The findings indicatethat the application of Big Data provides more accurate insights for decisionmaking, enhances personalized learning, and optimizes institutional resource allocation. In conclusion, leveraging Big Data contributes not only to individual student success but also to institutional growth through more effective and adaptive data-driven strategies. Therefore, the integration of data technologyin higher education presents an innovative solution to address academic and institutional challenges in the digital era.