DATA OPS

Email Dashboard Owners for Retirement Approval on Abandoned Reports

Identifies abandoned dashboards from BigQuery usage data, emails each dashboard's owner asking them to confirm or veto retirement, and logs the decision back for the data team.

CategoryData Ops
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule triggers review
  • ActionQuery abandoned dashboards + owners from BigQueryGoogle BigQueryBigQuery
  • LogicFilter out permanent dashboards
  • ActionEmail owner with usage evidence and decision linksGmailGmail
  • LogicInterpret approve/keep reply
  • OutputWrite decision to tracking tablePostgreSQLPostgres

What it does

Closes the loop on dashboard cleanup by routing each abandoned dashboard to its human owner. It finds reports with no meaningful usage, looks up the owner, and sends a personalized email asking them to approve retirement or keep it alive with a reason, then records the response.

When to use it

Use this when you can't unilaterally delete dashboards and need owner sign-off before retiring anything. Best for regulated or political environments where a paper trail of approval matters more than speed.

How it works

  1. 1A monthly schedule triggers the review cycle.
  2. 2BigQuery returns dashboards with zero views in 60+ days plus their owner email from the metadata table.
  3. 3A filter drops any dashboard already marked permanent.
  4. 4For each remaining dashboard the flow sends the owner a Gmail message with usage evidence and approve/keep links.
  5. 5A logic step interprets the reply and writes the decision into a tracking table so the data team can action approved retirements in bulk.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect GmailRead, draft, send, label.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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