Case Study: Snapcommerce achieves 75% faster QA and 100% data confidence with Datafold

Snapcommerce cuts QA time by 75% with Datafold

Snapcommerce, a mobile-centric commerce company, faced the challenge of managing a complex, business-critical data process for accurately paying suppliers millions of dollars each week. Their manual QA process was time-consuming and error-prone, risking costly financial mistakes. To address this, they turned to Datafold and its data diffing capabilities to gain confidence in their dbt model changes.

By implementing Datafold's solution, which integrates directly with dbt to automatically generate data diffs on pull requests, Snapcommerce streamlined its data validation. The vendor's tool enabled both data and finance teams to collaborate effectively by visually reviewing the impact of changes. This resulted in a 75% reduction in QA time, achieving higher accuracy with zero payment-related data incidents and complete confidence in their data.

Snapcommerce