Othot’s platform was created to take the cost and complexity out of predictive analytics. Our models are built from scratch for each customer to identify which students are most likely to enroll and how to influence that likelihood. We build and deliver our models quickly, so you’re up and running in weeks, not years.

Typically, we onboard customers in 30 to 45 days after data has been provided. We work with our customers to create a timeline that fits their needs.

Othot’s platform is cloud-based. You can access it 24/7 from anywhere on any device that has an internet connection and web browser.

No, our models are customized for each institution. The first step in our process is to identify the “High Impact Questions” (HIQs) that matter most for your school, such as, “What is the likelihood that a student will enroll?” Then our team creates a machine learning model built around answering that question. Othot’s predictive engines also combine a school’s historical data with external data and can be customized to create predictions for a school’s unique “What-If” scenarios, such as specific campus visit types or scholarships.

This proprietary approach produces predictive intelligence that offers a more comprehensive solution than other analytic programs.