Othot Introduces Machine Learning Enabled Sensitivity Analysis

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New Product Feature Provides Individual-level, Tangible Intelligence to Aid in Decision Making

Othot, a predictive analytics company, launched a new feature in the Othot Platform called Sensitivity Analysis. Higher education institutions can now use Othot’s Sensitivity Analysis to predict how different levels of financial aid, campus visits, marketing activities, or a combination of the three impact an individual student’s likelihood to enroll at a college or university.

“With Othot’s Sensitivity Analysis, you can see – at a granular level – what moves the needle for each individual student and the level of impact your resources can have,” says Andy Hannah, CEO of Othot. “The power is in the predictions, and enrollment management and financial aid professionals can use it to see, understand, and select the best path to take to reach their goals.”

The Sensitivity Analysis feature is available in Othot’s predictive analytics platform. It uses machine learning techniques to produce a sensitivity analysis for all individual students in a college or university’s prospect pool. Drawing data from both internal and external sources, the Sensitivity Analysis provides real-time predictions throughout the enrollment cycle.

For more information about the Othot platform, the Sensitivity Analysis, or to see a demonstration of the product, please contact Dave Babst, Vice President of Sales, Marketing and Customer Success at 412-458-4167 or at dmbabst(at)othot(dot)com.

About Othot
Based in Pittsburgh, PA, Othot is a predictive and prescriptive analytics SAAS company that helps customers find answers to their most critical business questions. Our cloud-based platform enables organizations to discover powerful insights from their data, delivered in an easy-to-understand visual format. Othot’s technologies are used in many sectors, including higher education, automotive, and conference planning.

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Karlye Rowles
Othot, LLC
+1 (412) 720-7674
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Dave Babst
Othot, LLC
(412) 458-4167
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