Jenzabar Retention is a student success and retention system that aggregates student data from various systems across campus to provide deep insights into student risk factors and probabilities for success. It uses predictive modeling and early-alert workflows to identify at-risk students and support them effectively.

Key Features

Predictive Modeling Uses data to predict student success and identify at-risk students.

• Customizable risk factors
• Data-driven insights

Early-Alert Workflows Automates alerts and notifications to staff about at-risk students.

• Real-time alerts
• Automated notifications

Comprehensive Student Profiles Aggregates data from multiple sources to create detailed student profiles.

• 360-degree view of students
• Up-to-date information

Benefits

Improved Student Retention Helps institutions retain more students by identifying and supporting those at risk.

• Targeted interventions
• Proactive support

Enhanced Decision-Making Provides actionable insights to improve student success strategies.

• Data-driven decisions
• Comprehensive analytics