Mav Analytics
The National Archives building on Pennsylvania Avenue, Washington, DC

Who we work with

Sectors

Public agencies, utilities, enterprises, and nonprofits.

  • Federal

    Civilian agencies and program offices.

    Details
  • State & local

    Departments without a platform team.

    Details
  • Utilities

    Operational and regulatory data that has to reconcile.

    Details
  • Enterprise

    Migrations, consolidations, and AI on internal records.

    Details
  • Nonprofits

    Program measurement and funder reporting.

    Details

By sector

  • Federal

    Civilian agencies and their program offices. The schedule is usually set by the review process, so authorization and accessibility documentation are planned in from the start.

    • Data consolidation across program systems
    • Document and records processing at volume
    • Analytics for statutory reporting
    • Modernization of internal applications
  • State & local

    Smaller teams, tighter budgets, and systems that have to keep running. We size the work so one department can run it without a platform team.

    • Reporting that replaces manual spreadsheet cycles
    • Integration between departmental systems
    • Public-facing data and transparency tooling
    • Grant and program performance reporting
  • Utilities

    Operational and regulatory data in the same estate. Figures in a filing have to reconcile, and the path from meter reading to filed number has to be reproducible.

    • Meter, outage, and asset data pipelines
    • Regulatory filing and docket analysis
    • Forecasting and load analytics
    • Reconciliation between operational and financial systems
  • Enterprise

    Usually a merger, a migration, or a reporting line that no longer holds. The work has to happen without interrupting the operation that depends on it.

    • Warehouse migration and consolidation
    • Applied AI on internal document and support records
    • Cost and performance tuning of existing platforms
    • Integration after acquisition
  • Nonprofits

    Funder reporting, program measurement, and constituent data, usually without an in-house engineering team.

    • Program outcome measurement
    • Grant reporting and compliance data
    • Constituent and donor data hygiene
    • Tooling that runs without a platform team

What they have in common

Someone will ask where a number came from, and the answer has to go back to the system of record. That is why data engineering is part of most projects even when the request was for something else.

The team that runs the system is smaller than the team that built it, so we choose well-understood technology over the most capable option.

Environment access, security review, and data-sharing agreements take longer than the engineering. We start that paperwork first.

Federal · State & local · Utilities · Enterprise · Nonprofits

Together, we get the work filed.

Send a short note about what you are working on. We reply within two business days.