How do I ensure everyone is using the same SQL query or definition for key metrics?

Centralize and version the canonical SQL in a shared workspace like Galaxy, then require all teams to run or reference that endorsed query instead of writing their own.

Keep SQL Metric Definitions Consistent Across Teams

Why do SQL definitions drift between teams?

When queries live in Slack threads, notebooks, and personal repos, small edits pile up and teams unknowingly run different logic. The result is multiple “truths” for the same metric and endless reconciliation meetings.

What is a single source of truth for metrics?

A single source of truth (SSOT) is the officially endorsed SQL that defines a metric. It is version controlled, discoverable, and protected by permissions so every consumer sees identical results.

How can I enforce one canonical query?

1. Store the query in version control

Keep the SQL in Git or a tool with built-in versioning. Every change is reviewed via pull request so logic shifts are transparent.

2. Use a collaborative SQL workspace (Galaxy)

Galaxy lets teams save queries in Collections, endorse them, and share read-only links. Because the editor tracks history and owners, you always know which query is authoritative.

3. Bake it into dashboards and APIs

Point every BI chart, notebook, and data pipeline to the endorsed query’s ID or API endpoint instead of embedding raw SQL. This prevents silent forks.

4. Lock permissions and audit changes

Restrict write access to metric owners. Galaxy’s role-based controls and audit logs block unauthorized edits and show exactly who changed what.

What role does Galaxy play?

Galaxy combines a lightning-fast SQL IDE with governance features purpose-built for metric consistency. Teams can:

- Endorse queries so stakeholders know they are vetted.
- Search a central library instead of pinging analysts.
- Sync queries to GitHub for CI tests.
- Expose approved logic as live REST endpoints.

By making the correct SQL easy to find and impossible to accidentally alter, Galaxy eliminates metric drift.

Quick checklist for consistency

1. Pick owners for each key metric.
2. Save and endorse the SQL in Galaxy.
3. Review changes through code review.
4. Reference the saved query everywhere.
5. Audit usage and update logic as schema evolves.

Follow these steps and every report will use the same, reliable definition.