Staff members initially resorted to storing data on local hard drives and sending files over email, but the team realized they needed tighter control over their information - especially as the startup grew. And with five million students across 140 partner schools (like Washington State University and Columbia College Chicago), Uversity has built an online community where students can interact with future classmates and admissions officers, to learn more about the university and campus life.īut performing these predictive analyses requires the ability to store and share massive volumes of data, and Uversity had no central repository for its information. Using algorithms to crunch large volumes of demographic and behavioral data, Uversity predicts which prospective students are most likely to enroll in (and stay at) their partner schools, so those schools can identify the right candidates. That’s why Uversity uses real-time data to help colleges and universities improve enrollment and retention rates - while giving prospective students the comfort they need to make the most informed choice. That startup, San Francisco-based Uversity, knew that applicants who have a chance to see what campus life will really be like typically enroll at higher rates to universities that are a better fit for them. This process has looked more or less the same for decades, with students physically visiting handfuls of colleges and universities reviewing thousands of applications.īut one startup set out to improve this outdated and impersonal exercise, with the help of predictive data. But both universities and prospective students have the same goal: to find the best fit. College admissions can be an intimidating and confusing process for even the most well-prepared students.
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