Connect the dots, see the big picture.

We know first-hand that an institution needs to be able to answer many questions. Different questions require different techniques, from descriptive to diagnostic to predictive.

Descriptive and diagnostic analyses serve as the foundation for effective predictive analytics. Walk through our approach to tackling common challenges leveraging a variety of techniques.

Are we recruiting the students who will be most successful at our institution?

One of the best ways to have an impact on retention is to focus on the types of students you are recruiting.

Describe

What is the graduation rate of students who graduate in 4 years?

Diagnose

What are the variables that make this group different from those who didn’t graduate?

Predict

Which of these variables are most significant? What is the likelihood of an applicant to persist?
Registration Trends
Retention Segmentation

How can you break down students into sub-populations to better serve them?

Describe

What is our historical term-to-term persistence rate?

Diagnose

What variables correlate with student persistence? Ability to pay? Intent to complete?

Predict

What programs or services have the greatest impact on a student’s likelihood to persist? Are there significant opportunities to improve student persistence?

Predictive

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UMUC Case Study

UMUC saw a 4% increase in student persistence from 2011-2015.

Read the Case Study

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