Data analysis

Cross-functional insights

What it does

  • Answers cross-functional questions against the data
  • Builds the recurring metrics review
  • Explains what changed and why

How it works

  1. 1Connects the relevant sources
  2. 2Runs the analysis
  3. 3Publishes the insight

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, Looker
Outputs

A finished artifact with its work attached

  • Answers cross-functional questions against the data
  • Builds the recurring metrics review
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 analysis
Ready for review
  1. Connects the relevant sources
    Source trace saved
  2. Runs the analysis
    Source trace saved
  3. Publishes the insight
    Output prepared
Rubric score, sources, and action log travel with the result

Deploy in days, not months.

Request demo