Case Study: Prefect saved 20+ hours per week with data observability

Key results

The challenge

Prefect, a data workflow orchestration company, had a small data team that risked spending months building a data quality solution from scratch.

The solution

Prefect adopted Monte Carlo for out-of-the-box data observability, monitoring, and incident management.

The results, in context

Prefect gained more than 20 hours per week in productivity and recovered 50% of engineering time spent detecting, triaging, and remediating data quality issues. The team reported 16x faster tooling deployment, reducing time-to-value by 6-8 months versus building an in-house MVP.

Products used