Open Menu Close Menu

Data & Analytics

European Predictive Analytics Platform Launches in the U.S.

A predictive analytics product already in use in European colleges and universities will now be available in the United States.

InfoSystems will launch the StREAM Student Success System, which uses algorithms to identify college students who may be struggling with their academic work and alerts administrators when intervention may be required, in the United States.

The platform, developed by the U.K.-based SolutionPath, will be exclusively distributed in the United States by InfoSystems.

The technology platform uses existing data to create predictive models that counselors and administrators can use to monitor student work. The models are based on specific areas of study so that a student's success can be measured against those in that discipline.

InfoSystems representatives said the StREAM model differs from other similar products on the U.S. market because others compare a specific student's progress against an entire institution's student population. The StREAM model, however, would compare a certain engineering student's academic progress against other engineering students, as opposed to every student in the university.

Representatives also said StREAM can be installed and in full implementation much quicker than other systems. Setup can be completed in five days by the equivalent of one full-time staff member. Predictive models can be made available to administrators within 90 days, as opposed to an industry average of nine to 12 months.

InfoSystems President and CEO Clay Hales said that, along with improving overall student success, StREAM can reduce the impact of lost revenue caused by student dropout rates.

"Colleges and universities are losing on average over $13 million in revenue each year due to student dropouts," Hales said. "This provides a very fast ROI and quick time to value."

About the Author

Michael Hart is a Los Angeles-based freelance writer and the former executive editor of THE Journal.

comments powered by Disqus