Financial Performance Management

HelioCampus enables decision support and insights for institutions to manage costs and streamline operations through an enterprise technology platform and ongoing services.

Why Financial Performance Management?

Financial Performance Management helps institutions measure institutional performance against strategic goals by integrating student and financial data for analysis and decision support.

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.

Focus Areas

Competition for students combined with increasing costs has left many institutions financially vulnerable. Financial Performance Management helps institutions address a range of use cases including:

Net Tuition Revenue Analysis

Does our student population support the revenue required to run the institution?

Scenario Planning

Do you understand the variables that impact operating revenues and expenses, and how they interact to impact the university budget?

Institutional Performance

How do financial metrics and KPIs vary across institutional departments, programs and academic units?

Budget Variances

What are the projected year over year budget shortfalls and excesses? Are our costs outpacing our budgeted and actual revenues?

Expense and Liquidity Management

Are we managing assets and costs in alignment with institutional strategy? Do operating results indicate the institution is living within available resources?

Decision Support Series:
A Packaged Solution

Regardless of your starting point, the Decision Support offerings consist of an Enterprise Platform & Data Warehouse, Higher Education Data Models, and Data Science Services.

Enterprise Technology Platform

Our secure, extensive, high performance data platform provides an open and extensible environment to leverage existing and future investments.

Source Systems & Third Party Integrations

Integrations with your institution’s relevant systems of record, third-party and public data sets where applicable allow for data replication into a Data Lake.

Data Models

Data models provide intuitive, logical relationships and integrations between data sources as well as within individual data sources that are not normally fit for reporting against. Organized by subject area, data models provide for efficient and organized analysis and serve as the foundation for dashboards and predictive models.

Data Visualization

Intuitive data visualizations and standard dashboards help make your data actionable and understandable. The HelioCampus platform includes a set of standard visualizations, showing trends for key metrics. Each dashboard can be configured and customized based on your business rules and specifications.

Data Science Services

While the technology platform and data organization are critical, ongoing data science services help tackle critical institutional challenges. These services include decision support, assisting with building 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, Frostburg State University

Blog

Analytics

March 16, 2021

Financial Performance Management

Why Financial Performance Management?

Focus Areas

Blog

The Data Analytics Platform – A Foundational View

The Evolution of Institutional Research

Financial Sustainability and Planning: Status Quo is no Longer an Option