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Enterprise Layer Intelligence
Categories/Education & EdTech/Othot
Othot

Othot

Founded 2014

Predict student enrollment and retention outcomes using dynamic predictive modeling

You can use Othot to analyze student behavior and forecast outcomes across higher education lifecycles. The system evaluates enrollment probabilities to help admissions staff focus recruiting resources on prospective applicants most likely to matriculate. During the academic year, it identifies students at risk of dropping out so counselors can intervene early. The system also tracks post-graduate outcome probabilities and pinpoints alumni who are most likely to attend events or contribute donations, syncing predictions directly with existing admissions databases like Slate.

What Othot does

Calculate individual enrollment probability scores for applicantsIdentify specific interventions that boost retention odds for at-risk studentsExport enrollment likelihood data into admissions customer relationship managersAnalyze student engagement trends across the academic termGenerate predictions for career placement outcomes across academic majorsScore alumni contact lists to prioritize donor engagement campaignsReal-time dynamic predictions for individual student enrollment likelihoodPrescriptive modeling indicating the specific action that alters individual student behaviorEarly alert tracking to identify at-risk enrolled students before they withdrawPost-graduate outcome forecasting to identify support gaps during studyAlumni giving propensity scoring to direct institutional advancement effortsDirect data sync with the Slate admissions interfaceDemographic cliff impact modeling based on regional demographic changes

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Othot, AI Analytics, higher education analytics, student enrollment, student retention, predictive modeling, prescriptive modeling, demographic cliff, student success, alumni engagement, fundraising analytics, post-graduate outcomes, higher ed recruiting, Slate integration, enrollment management