Case Study: Mux raises data test coverage from 10% to 95% with Metaplane
Key results
The challenge
As the sole data engineer at Mux, a video API company, one analytics engineer owned the full stack from warehousing in Snowflake to transforming data in dbt for Looker dashboards used by marketing, sales, customer success, finance, and product. A previously hand-built observability tool took weeks to build yet provided only about 60% coverage, and extending dbt tests across the warehouse required time she did not have. Corrupt data could go unnoticed until stakeholders reported it.
The solution
After finding a reference to Metaplane in dbt's Slack community, she connected her data stack in a few clicks and set up monitoring far more comprehensive than her prior tool, gaining anomaly detection, lineage, and usage analytics in one place.
“Metaplane has everything I need in one place. It gives me full visibility into the quality and performance of my data.”
MPMarion PavilletSenior Analytics Engineer, Mux
The results, in context
With Metaplane, Mux increased data test coverage from 10% to 95%, and more than 80% of alerts were legitimate issues requiring attention. When a table unexpectedly grew from millions to billions of rows overnight, Metaplane's alert saved an estimated eight hours that day and preserved stakeholder trust; the platform notifies the team about anomalies roughly three times per week.