DATA OPS

Publish a monthly BigQuery attribution-coverage report

At month-end, aggregates BigQuery spend into attributed vs still-unattributed, breaks attributed cost down by team.

CategoryData Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonth-end schedule after final daily attribution
  • ActionAggregate monthly spend into attributed vs unattributedGoogle BigQueryBigQuery
  • LogicCompute coverage %, MoM delta, per-team breakdown
  • ActionRender coverage report to a Notion pageNotionNotion
  • OutputPost Slack summary linking the reportSlack

What it does

Produces a monthly scorecard of how much BigQuery spend is now attributed to a team versus still unowned, with a per-team breakdown and the trend versus the prior month.

When to use it

Run it at month close to show progress on the attribution program and to give finance a defensible team-by-team cost split. It answers 'what percent of our warehouse bill can we actually assign to an owner?'

How it works

  1. 1A month-end schedule starts the run once the final daily attribution lands.
  2. 2Query total BigQuery spend for the month split into attributed and unattributed buckets.
  3. 3Compute coverage percentage and compare it to the prior month stored in a metrics table.
  4. 4Break attributed spend down by team and rank the largest spenders and the biggest unattributed principals.
  5. 5Render the figures into a Notion report page with a coverage headline and the breakdown tables.
  6. 6Post a Slack summary linking the report with coverage percent and month-over-month change.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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