Case Study: Nextbite delivers customer data with confidence with Datafold

Nextbite checks 150+ pull requests with Datafold and prevents 0 data quality issues in production

Nextbite, an all-in-one virtual restaurant solution, needed to ensure the data it delivered to customers and internal teams via Hightouch remained accurate and reliable. Their challenge was integrating new data sources and rapidly evolving their dbt data models without introducing errors that would negatively impact downstream decisions and operations. They turned to Datafold to automate their data quality testing.

By implementing Datafold's Data Diff, Nextbite integrated automated testing directly into its development workflow. The solution provided deep impact analysis for every pull request, allowing engineers to confidently make changes. As a result, Datafold checked over 150 pull requests, helped prevent numerous potential data quality issues from reaching production, and ensured zero data quality issues were delivered via their 2.3 million Hightouch operations.

Nextbite