DATA OPS

Weekly Dashboard Decay Digest for Data Leadership in Teams

Aggregates the week's decay sweep results from BigQuery into a ranked leadership digest and posts a single summary card to a Microsoft Teams channel with totals and top offenders.

CategoryData Ops
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule triggers the leadership digest
  • ActionAggregate decayed dashboards and wasted compute in BigQueryGoogle BigQueryBigQuery
  • LogicRank teams by stale count and wasted spend
  • LogicFormat headline totals and top offenders
  • OutputPost the digest adaptive card to Microsoft TeamsMicrosoft Teams
  • ActionAppend totals to a BigQuery trend tableGoogle BigQueryBigQuery

What it does

Instead of pinging individual owners, this workflow rolls up the entire decay picture into one weekly executive digest — total stale assets, storage and compute they consume, and the worst offenders — and delivers it to data leadership in Microsoft Teams.

When to use it

Use this for the manager view: when leaders want a recurring pulse on BI hygiene and ROI rather than per-dashboard noise. It pairs well with the owner-nudge workflows that handle individual follow-up.

How it works

  1. 1A weekly schedule triggers the digest.
  2. 2BigQuery is queried to aggregate decayed dashboards by team, plus the compute cost of refreshing assets nobody views.
  3. 3A ranking step orders teams by stale-asset count and wasted spend.
  4. 4A formatting step builds a concise digest: headline totals, week-over-week change, and the top five offending teams.
  5. 5Microsoft Teams receives a single adaptive card posted to the leadership channel.
  6. 6The same totals are appended to a BigQuery trend table so the digest can show direction over time.

Set it up

What you configure once, before turning it on.

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

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.