Case Study: The Farmer’s Dog Achieves Self-Serve Data Observability with Monte Carlo

How The Farmer’s Dog Achieves Self-Serve Data Observability with Monte Carlo

The Farmer’s Dog, a fresh dog food company, needed a better way to keep pace with rapid growth and an increasingly complex data stack spanning AWS, GCP, BigQuery, Postgres, ETL tools, and multiple engineering teams. As their data platform expanded, the Data Strategy & Insights team faced recurring pipeline breaks, silent data issues, and reactive firefighting that pulled them away from building new analytics and insights.

Monte Carlo provided automated data observability for The Farmer’s Dog, including monitoring, alerting, and field-level lineage, helping the team detect issues sooner and trace them quickly to the root cause. With Monte Carlo integrated into Slack and available to broader teams via SSO, The Farmer’s Dog improved self-serve troubleshooting, caught “unknown unknowns” in upstream data, and strengthened trust in data across the organization.

The Farmer’s Dog

Rick Saporta

Head of Data Strategy and Insights