WASHINGTON (PRWEB) January 03, 2018
HelioCampus, a technology-enabled services company, has expanded their partnership with UMass Lowell (UML) after a successful cloud analytics pilot. The objective of the pilot was to better understand student mobility, establish peer benchmarks, and develop models to help predict admissions yield. By blending UML’s internal student data with external data from the Integrated Postsecondary Education Data System (IPEDS), Bureau of Labor Statistics (BLS), and National Student Clearinghouse, HelioCampus and UML created a robust data set that powered visualizations and predictive models to answer critical questions for the institution.
Increased visibility into what previously were institutional blind spots serves as one example of the partnership’s effectiveness and impact. “We're now seeing a lot of things that, anecdotally, our colleagues have suggested to us are happening but we weren't previously able to see. We're also seeing a lot of things that no one had any idea were going on. Those are things that have really opened people's eyes and, at the end of the day, helped us do our jobs better. At the end of the day, we want to figure out how we can serve our students better, and how we can make them successful,” says Julie Alig, UML’s Executive Director of Strategic Analysis and Data Management.
The UML team selected HelioCampus as a partner based on a few fundamental criteria including: an extensive background in higher education, an extensible and flexible platform, the inclusion of data science services as part of an annual subscription, and a belief that HelioCampus is creating a solid foundation to power future analysis across the institution.
“The complexity of the technology, combined with the need to move ahead rapidly, and the success of the pilot, really fueled the university wanting more. We chose to partner with HelioCampus as opposed to building our own solution because what they provided was probably where we would have been in three to five years. We couldn't wait,” says Michael Cipriano, Associate Vice Chancellor & CIO, UMass Lowell. Lori Dembowitz, Associate CIO at UML adds, “working with HelioCampus gives us the opportunity to focus our efforts on having strategic discussions versus managing infrastructure and applications.”
HelioCampus first started working with UML in Fall 2016 and has expanded their partnership through Fall 2020. The team is focused on building out capabilities to develop strategies to increase enrollments, optimize financial aid and increase retention and graduation rates.
“UMass Lowell had a great analytics foundation when we started working with them and a strong leadership team across IT and IR to champion the initiative. We are looking forward to helping them expand and accelerate their data initiatives,” said HelioCampus CEO, Darren Catalano.
For more information about UMass Lowell, visit http://www.uml.edu or follow them on Twitter.
For more information about HelioCampus, visit http://www.heliocampus.com. To see the HelioCampus platform in action schedule a demo here: https://www.heliocampus.com/heliocampus-demo-request
HelioCampus helps colleges and universities use analytics to increase enrollment, improve student success, ensure financial sustainability and accelerate gift giving. We enable institutions to ask and answer their most pressing questions through data analytics, data storytelling and data science. Originated within the University System of Maryland, HelioCampus offers a unique perspective on the impact of data across the student lifecycle and solves challenges institution face in deploying data analytics. By combining an extensible data platform with ongoing data science services, HelioCampus leverages enrollment, student success, institutional financial and advancement data to facilitate meaningful conversations that fuel higher value analyses and spur action, leading to greater institutional performance and financial sustainability.
For more information about HelioCampus visit http://www.heliocampus.com or follow them on Twitter.