In the modern educational environment, higher education institutions must navigate complex challenges and make informed decisions to ensure success. This paper introduces an Intelligent Management Support System (IMSS), leveraging predictive analytics to enhance the decision-making capabilities of educational institutions. By integrating machine learning (ML) and data mining techniques, IMSS provides administrators with insights that help optimize resource allocation, improve student outcomes, and enhance operational efficiency. The framework is designed with adaptability in mind, ensuring scalability across diverse institutional needs. A pilot study conducted at a university highlights the system’s benefits, demonstrating how predictive analytics can enable proactive management and strategic planning. Future research will focus on refining the IMSS to include broader data sources and improve its forecasting capabilities.