Case Study: Nutrafol saves 100+ hours per month with Datafold

Nutrafol saves 100+ hours per month with Datafold

Nutrafol, a hair wellness company, faced challenges with data quality and inadvertent changes in their data pipelines, which led to leadership discovering data issues on key dashboards. Their data team needed a way to proactively catch these issues before they impacted production and business metrics like Customer Acquisition Cost. To address this, they implemented Datafold's Data Diff to improve data validation.

By integrating Datafold's solution into their pull request process, Nutrafol gained automated regression testing and column-level lineage, providing clear visibility into how code changes would impact downstream data. This allowed the team to validate every change before it reached production. As a result, Datafold helped Nutrafol save over 100 hours per month in code review time, achieve 100% pull request consistency, and significantly increase trust in their data across the organization.

Nutrafol