DATA OPS
Weekly cross-bucket PII exposure scorecard to leadership
Each week, aggregates PII scan results across multiple buckets into a trend scorecard, loads metrics to Snowflake.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionPull week's findings from Postgres audit logPostgres
- LogicAggregate by bucket and severity, compute trend
- ActionLoad metrics into Snowflake tableSnowflake
- OutputEmail exposure scorecard to leadership via OutlookOutlook
What it does
Rolls up the week's PII findings across all your scanned object stores into a single executive scorecard: how many exposures, which buckets are worst, and whether the trend is improving. It loads the numbers to Snowflake for BI and emails a readable summary to leadership.
When to use it
Use this for governance and reporting rather than enforcement — when leadership and compliance need a recurring, defensible picture of data-exposure posture and its trajectory over time.
How it works
- 1A weekly schedule starts the rollup.
- 2The flow pulls the week's findings from the Postgres audit log written by your scanners.
- 3A logic step aggregates counts by bucket and severity and computes week-over-week change.
- 4The aggregated metrics are loaded into a Snowflake table for dashboards.
- 5A summary email with the scorecard and top movers is sent to leadership via Outlook.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect SnowflakeWarehouses, queries, shares.
- 3Connect OutlookMail, calendar, contacts.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Data Ops workflows
BigQuery Per-Team Budget Breach Alert to PagerDuty
Tracks month-to-date BigQuery scheduled-query spend per team and, when a team crosses its monthly budget, pages the team's on-call in PagerDuty and snapshots the spend breakdown…
dbt orphan model detector with Linear cleanup tickets
Scans your dbt manifest for models that no other model, exposure, or BI tool consumes.
Weekly BigQuery Cost Trend Sheet and Exec Digest
Compiles week-over-week BigQuery scheduled-query cost by owner and dataset into a Google Sheet with trend columns.
Backfill Missing Owner Labels on BigQuery Scheduled Queries
Finds scheduled queries with no owner label, infers the likely owner from creator metadata and target-table lineage, proposes a label.
Daily BigQuery Scheduled-Query Cost Attribution to Owners
Each morning, totals the prior day's on-demand bytes-billed per scheduled query, maps each query to its owner from a label, and posts a per-owner cost leaderboard to Slack.
dbt source freshness watcher with severity-routed alerts
Checks Snowflake loaded-at timestamps against each dbt source's freshness SLA, then routes warnings to Slack and hard breaches to a PagerDuty incident so stale data never…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.