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    Academic Performance Management

    HelioCampus enables decision support and insights for institutions to maximize returns of academic programs through an enterprise technology platform and ongoing services.

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    Why Academic Performance Management?

    Academic Performance Management helps institutions counter budget deficits, identify efficiencies and optimize faculty assignments and non-teaching activities by centralizing academic program 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

    Current market conditions are forcing many academic departments to evaluate their budgets and resource allocation. Lack of visibility into the cost of instruction creates barriers to academic planning. Academic Performance Management helps institutions address a range of use cases including:

    Student Credit Hours and Enrollment Trends

    Which academic departments have increasing or declining student credit hours and courses taught?

    Contribution Margin Analysis

    Which courses, programs, and departments are being taught at positive or negative contribution margins? What are the trends over time?

    Instructor Capacity

    How do I optimize my faculty teaching assignments and manage my non-teaching expenses?

    Course Demand and Efficiency

    Does our course schedule align to projected demand for various departments? What is the fill rate in each course and is there an opportunity to reduce the number of sections taught?
    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
    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
    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
    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
    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
    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.

    From the beginning, HelioCampus worked closely with our institutional effectiveness and planning team to ensure that the implementation of the data platform supported our existing data structure. They met us where we were, instead of forcing us into a new or cookie-cutter structure.

    —Justin Sloan, VP for Institutional Effectiveness & Planning, Chief Data Officer, St. Edward’s University

    The HelioCampus platform allows us to democratize our data, increasing self-service analytics capabilities and providing campus stakeholders the ability to interrogate their data and discover new insights.

    —Ramprasad Balasubramanian, Associate Provost for Decision Support and Strategic Initiatives, UMass Dartmouth

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