Data Observability Without a Data Team: 8 Quick Wins

Eight low cost, fast to implement data observability checks growth teams can add in days to detect silent failures and protect core metrics.

Data Observability Without a Data Team: 8 Quick Wins

A practical checklist of eight low cost, fast to implement data observability checks teams without a dedicated data function can add in days. Covers row count and schema alerts, sampling, reconciliation, dashboard smoke tests, freshness monitoring, lightweight assertions, synthetic canaries, and a simple health dashboard with runbooks. Each item includes why it matters, a short how to, and automation tips to alert owners and reduce time to detect.

References

  1. What is data observability
  2. Tests in dbt
  3. Data Observability Tools and Patterns