Why Student Analytics?

Student Analytics, the foundation of the HelioCampus platform, starts with the integration of data from your core source system, the Student Information System, as well as third party data sources. 

Extensible, Extendable and Flexible

In order to be as flexible as possible, institutions can include data from any source into the platform. Depending on your teams’ level of expertise, you can bring in data sources yourself or work with a member of the HelioCampus team.

Key Challenges

Competition for students, increasing costs, evolving student demographics, and the need for relevant program offerings has left many institutions with room to improve their admissions and enrollment performance, as well as retention and graduation rates. Student Analytics helps institutions address a range of challenges including:

Prospect Targeting

Is the institution recruiting students who will be the most successful? Which geographies attract the top achieving students?

Enrollment Management

How effectively is the institution meeting its enrollment goals by department, program, and degree? Are student diversity and demographic goals being met and if not, how can we improve?

Yield Modeling

Where are the opportunities to improve student yield & persistence?

Financial Aid Optimization

Is the institution’s financial aid award strategy optimized for both admissions and retention?

Student Segmentation

How can you break down students into sub-populations to better serve them?

Risk Modeling

How can you identify students at-risk for early intervention?

Course Success

How does course success and sequence of course completion correlate to retention, persistence, and graduation success?

Unique Features of Student Analytics

The technology platform provides all of the base technology and professional services needed to support institutional analytics.

Systems & Third Party Integrations

Integration with your institution’s Student Information System. And integration with third-party and public data sets, including IPEDS and National Student Clearinghouse.

Data Models

Data models provide for efficient and organized analysis of admissions, enrollment, financial aid, and student success data.

Data Visualization

Intuitive data visualizations and standard dashboards including Admissions Trends, Student Enrollment Tracking, Financial Aid Awards and Course Success, to name a few.

Data Science Services

 Data Science Services to assist with building student analytics oriented forecasts and predictive models, conducting user training, or integrating additional data sources into the platform.

We are getting even more granular with the data, looking at levels of unmet need and getting our financial aid office’s input. It is an iterative process. But we were working with anecdotal and incomplete information. Now, working with HelioCampus, we have some what-ifs and modeling that is helping us move forward.

Ronald Nowaczyk, President