Finance
We were approached by an international financial institution to build a course recommendation system to boost employee career opportunities through an e-learning platform. Depending on the goals of the employee and the assessment of skills needed in every team, the predictive models were able to suggest the right courses that made the training process more effective.
SaaS
We developed a scheduling tool that helps professors schedule their individual classes and consultations. Using the platform, they are able to save time they used to spend on sending back-and-forth emails with their students, avoid double-booking, and plan their workdays better.
Telecom
Our client, a telecom company, uses churn prediction models to identify which customers are most likely to change their service provider and prevent that from happening. Instead of wasting their time contacting every customer whose contract is about to expire, the consultants can focus on those who are most likely to churn – and improve customer retention.
