DATA OPS

Weekly PII drift governance digest to Notion register

Compiles the week's column-classification changes across BigQuery into a written summary and updates a Notion data-governance register so stewards have a single living record…

CategoryData Ops
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule triggers the digest
  • ActionQuery past-week classification changes from BigQueryGoogle BigQueryBigQuery
  • ActionDraft structured governance digest with an LLMOpenAI
  • LogicSkip the run if no changes occurred
  • ActionUpsert digest into the Notion governance registerNotionNotion
  • OutputPost register link to Slack governance channelSlack

What it does

This workflow produces the weekly paper trail governance teams need. It gathers every classification change recorded over the past week, has an LLM write a concise human-readable digest grouping new PII, downgraded columns, and still-open masking candidates, then updates a Notion data-governance register so the register always reflects current reality.

When to use it

Use it when you already detect drift daily but need a periodic, auditable rollup that non-engineers can read and that satisfies governance reviewers asking what changed this week and why.

How it works

  1. 1A weekly schedule triggers the digest.
  2. 2The workflow queries BigQuery for all classification-change records logged in the past seven days.
  3. 3An OpenAI call drafts a structured digest: new PII columns, resolved items, and outstanding masking candidates with rationale.
  4. 4A logic step skips the run cleanly if there were no changes, avoiding empty noise.
  5. 5The workflow upserts the digest and per-column entries into the Notion governance register.
  6. 6It posts a short link to the updated register in the Slack governance channel.

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 NotionPages, databases, comments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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