Case Study: Rinsed regains time and data peace of mind with Metaplane

Rinsed washes away data quality issues with Metaplane

Rinsed, a Customer Relationship Management (CRM) tool for car wash providers, faced challenges with stale and unreliable data that could negatively impact the insights and marketing campaigns of their customers. Their initial attempt to monitor data freshness with dbt tests proved insufficient because the alerts were not actionable and required constant manual threshold updates. They turned to Metaplane to find a more robust solution for data observability.

By implementing Metaplane, Rinsed utilized its machine learning-based freshness and row count monitors. This solution automatically calculated tolerance thresholds and grouped related incidents, which resulted in fewer, more actionable alerts. This provided the data team with greater peace of mind and a measurable time savings of 2.5 hours per week, allowing them to focus on higher-value work for the business.

Rinsed

Gabe Solomon

Senior Data & Analytics Engineer