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  • Presentation of available tools and models to analyze complexity of business logic: Michigan and Minnesota as case studies

    • Group agreed on a need for a unified approach to quantifying and reducing unnecessary extensions in state data models.

    • A unified approach, backed by the Alliance, could strengthen the case for alignment.

    • States are already asking how they can move closer to the core Ed-Fi model.

    • Moving forward, SIS vendors, state agencies, and Ed-Fi stakeholders need to collaborate on standardized metrics and implementation strategies to ease alignment and adoption across different states.

  • Challenges & Opportunities for SIS Vendors:

    • SIS vendors are advocating for alignment with the Department of Education (DoE)agree that a common way to measure complexity is good, but different vendors use different calculations.

    • A unified approach, backed by the Alliance, could strengthen the case for alignment.

    • states are already asking how they can move closer to the core Ed-Fi modelapproaches and there will be different scoring across vendors.

    • Possible approach: Convene discussions state by state to ensure consistency.

    Scoring
    • A scoring system can be a powerful tool to drive change

      • Education agencies are open to improvements that reduce the scope of their complexity for vendors.

      • What tools and metrics should be used to quantify alignment and drive adoption?

  • Key questions raised

    • Do states care about the complexity of business logic and extensions?

    • Should complexity be measured using vendor-defined metrics (e.g., story points)?

    • What incentives exist for states to adopt Ed-Fi alignment?

      • Examples: SC and TN are emerging leaders in market alignment.

      • Vision of Ed-Fi as a statewide data ecosystem, supporting both state reporting and local data access.

      • States recognize the added cost of unnecessary complexity.

      • State system upgrades present opportunities to reduce extensions and increase efficiency.

  • Reducing Validation Burdens & Externalized Business Logic

    • Unbundling validation issues could simplify calculations.

    • Many extensions are due to calculated and conditional fields that could be handled by state agencies querying their own databases.

    • However, some states (e.g., GA, NM) face legal constraints requiring data formats to remain unchanged for funding validation.

    • Some states are demonstrating better practices, with Nebraska being a leading example.

    • Downstream Complexity & Business Logic Implications: Even after implementation, complex business logic creates long-term challenges for SIS vendors and states.

  • Considerations for driving reduction of business logic

    • Show states a clear path from their current state to an optimized Ed-Fi implementation.

    • Focus first on states actively pursuing Ed-Fi implementations before addressing existing implementations.

    • Can SIS vendors document and share their business logic tracking methods to facilitate broader assessment?

  • Next steps and action items

    • Continue business logic assessment

      • Edupoint and Skyward to contribute insights and data on business logic tracking

      • Ed-Fi Alliance to present findings from that work and a recommendation back to the group for a methodology and approach to share back to states to improve standardization and efficiency

    • Alliance to share SIS Certification changes and use cases ahead of next meeting for discussion.