Modern stacks are complicated, making it hard to keep track of data quality. Collibra Data Quality & Observability monitors data quality and reliability of data pipelines to help you rapidly remediate anomalies. Proactively surface data issues in real time and make trusted data readily available to your data consumers to drive intelligent business decisions.

Collibra Data Quality & Observability uses machine learning to generate adaptive checks and rules that proactively identify data quality issues across a wide range of data sources. Predictive, continuous, self-service data quality helps rule writers focus on high-impact tasks such as eliminating the root causes of data errors, and business users access high-quality data for their analytics and AI modeling work.

Leveraging autonomous rule management, Collibra centralizes and automates data quality workflows to comply with global regulations, gain better quality control over end-to-end data pipelines and streamline data & analytics processes across the enterprise.