Features
- Dynamic and flexible generation of predictive student retention factors.
- Initial and ongoing self-calibration of the mathematical model using the available historical and new data.
- Orders and prioritizes students by risk score and provides a detailed report with level of risk and the necessary information to enact a retention and success strategy.
- Provides macro level reports for the primary causes and risk factors contributing to persistence and retention measurements at an institutional level.

