An Amazon Web Services infrastructure has allowed for a predictive analytics framework to determine college and university at-risk students.


PAR-data-institutionsBy using student data from partner colleges and universities across the country, it can identify more than 75 percent of an institution’s at-risk students, with the ability to save millions of dollars in lost tuition revenue  - as much as  $7 million at a campus with 10,000 students  by identifying students twice as likely to drop out and intervening with them. It can also help identify, measure and prescribe intervention services.

It’s called the Predictive Analytics...

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