Client Success Story.

Applying statistical modelling for an educational client

Contact

Tackling human issues

Our client faced challenges with student dropouts, which prompted the need to identify and understand the reasons behind these dropouts and to implement appropriate interventions.

Going beyond the expected

We knew that certain factors, such as attendance, impacted churn but we wanted to understand what makes a high-risk student before they start attending the modules, which could only be uncovered through a complex AI data model.

New ways of working

We built Precision Score, a live audience scoring mechanism to determine the likelihood of a student passing or failing. Now, the client can query an individual student, centre or course, and immediately see the likelihood of that student succeeding, based on 15 different factors.

"This is fantastic. I never expected to recieve a fully working model to solve what has been a long standing business problem"

Tim, Education Client