Predictive Analytics uses historical and real-time data to forecast future outcomes in student performance, enrollment trends, retention risks, and institutional growth strategies.
Data-driven forecasting models that anticipate student or institutional outcomes.
Predicting students at risk of dropping out based on behavioral and academic patterns.
Using trends to estimate future admissions and student numbers.
Actions triggered by predictions to improve student success and retention.
Predictive analytics empowers institutions to move from reactive to proactive—reducing risks, boosting retention, and improving student outcomes.