Data analytics

Cross-agency insights

What it does

  • Joins data across agencies for one view
  • Answers policy questions against the data
  • Builds the recurring insight report

How it works

  1. 1Connects agency data sources
  2. 2Runs the cross-agency analysis
  3. 3Publishes the report

Works with

Deployment contract

What goes in, what comes out, and where people review.

Inputs

The systems and standard your team chooses

  • Runbook, source material, and definition of done
  • Records from Snowflake, Tableau, Databricks
Outputs

A finished artifact with its work attached

  • Joins data across agencies for one view
  • Answers policy questions against the data
Approvals

Human control at the steps that matter

Choose which steps run automatically and which stop for a named reviewer before deployment.

Evals

Quality measured against your rubric

Score completed runs against accepted examples and task-specific criteria. Review failures with the source trace before changing the runbook or model.

Example result

The result is reviewable, not a black box.

A completed run keeps the task, sources, actions, approvals, and eval result together. Open any step to inspect what happened or send it back with a correction.

RUN
Data analytics
Ready for review
  1. Connects agency data sources
    Source trace saved
  2. Runs the cross-agency analysis
    Source trace saved
  3. Publishes the report
    Output prepared
Rubric score, sources, and action log travel with the result

Deploy in days, not months.

Request demo