Othot identifies the key strategic questions, called High Impact Questions™ (HIQs™) that matter most to your education institution. Rather than providing another data analysis tool, we start with the end question in mind, and build a predictive analytics solution around that specific question.
Analyzing your internal data provides historical perspective about students and their behaviors, but has limited predictive value. Othot’s platform is able to integrate your existing data with multiple external data sources, in one location, and process them so you can use the information to examine likelihoods and explore what-if options. This proprietary approach produces predictive intelligence that offers a more comprehensive solution than other analytic programs.
Sources can be matched to individuals in databases to strengthen their profiles – for example: demographic, socio-economic and geographic
Helps us understand how an individual’s surroundings or environment may influence decision making – for example: weather data and competitor data
Sources reveal discussion topics or actions that may indicate a student’s purchase intention – for example: social media
Internal data
Public data
Hard-to-find data
Unstructured data
Proprietary data
Delivers overall likelihood to occur scores
in an actionable format
Delivers overall what-if analyses
to guide decision making
Our machine learning models will enable TTU to respond strategically and proactively to a student’s likelihood to enroll.
Our customers are using Othot’s predictive and prescriptive modeling to directly impact their financial aid awards.
Learn how higher ed institutions are using advanced analytics to boost enrollment, shape their classes and allocate financial aid.