DATA OPS

Quarterly Executive Brief on Dashboard Sprawl and Decay

Aggregates a full quarter of dashboard usage from BigQuery into trend metrics, has an agent draft a plain-language sprawl-and-decay narrative.

CategoryData Ops
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule starts the brief
  • ActionAggregate quarter usage trends in BigQueryGoogle BigQueryBigQuery
  • ActionAgent drafts sprawl-and-decay narrativeOpenAI
  • LogicAssemble narrative with trend metrics into page
  • OutputPublish brief to ConfluenceConfluenceConfluence

What it does

Produces a leadership-ready quarterly brief on dashboard sprawl. It rolls up usage across all dashboards, computes how the active/abandoned ratio is trending, then drafts a narrative summary with recommendations and publishes it as a Confluence page for executives.

When to use it

Use this when the data team needs to justify cleanup work to leadership or report on BI portfolio health each quarter. Best when the audience wants a written story with takeaways, not a raw table they have to interpret.

How it works

  1. 1A quarterly schedule kicks off the brief.
  2. 2BigQuery returns aggregate usage trends: total dashboards, active count, abandoned count, and quarter-over-quarter deltas.
  3. 3An agent step composes a plain-language narrative covering sprawl growth, top abandoned reports, estimated maintenance cost, and recommended retirements.
  4. 4A formatting step assembles the narrative with trend charts into a structured page.
  5. 5The flow publishes the finished brief to a Confluence space so leadership can review and approve the cleanup plan.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  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.

Run this workflow in your colony.

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