In March 2025, DBT Labs unveiled new data quality and monitoring features for DBT Cloud, marking a big leap for reliable analytics workflows. The new capabilities include automated anomaly detection, custom threshold alerts, and integrated data quality checks across all transformation steps. Teams can now proactively identify data issues like missing values, unexpected spikes, or schema changes before they affect downstream reporting. Deep integration with observability platforms such as Monte Carlo and Great Expectations allows users to manage data trust at scale. The UI enhancements make it easier to configure alerts and monitor model health across different environments.