Case Study: Moody's achieves greater data quality and deployment confidence with Datafold

Moody's boosts data quality with 99% confidence using Datafold

Moody's, a global credit rating and risk assessment leader, faced a challenge ensuring data quality for its client deliverables and AI strategy. Despite having a robust CI/CD workflow with dbt tests, novel data issues were slipping into production, which delayed deliveries and undermined their AI-powered solutions. To address this, Moody's turned to Datafold and its data diffing capabilities.

By integrating Datafold Cloud into their CI process, Moody's could run value-level data diffs on pull requests to see the downstream impact of all code changes. This solution provided greater visibility and caught potential data issues early. The results included a 99% certainty that changes wouldn't break data pipelines, democratized PR reviews, and increased transparency with business stakeholders. Datafold empowered Moody's to confidently deliver reliable data to downstream consumers and their client-facing AI chatbots.

Moody's