Collibra Data Quality and Observability (DQ&O) leverages Adaptive Rules for intelligent monitoring, providing complete visibility into technical metrics like null checks, row counts and outliers. Our machine learning algorithms ensure these rules are always up-to-date by learning from past and new data. This comprehensive approach connects data issues to their root causes, linking data ownership, lineage and detailed reliability analysis within our platform.
We offer direct integration for data quality across the data catalog, a unique feature among vendors. Our anomaly detection capabilities provide thorough outlier detection, and our health reporting tools offer business leaders like you clear insights into data quality dimensions specific to your needs, without overwhelming you and your data professionals with information.
Collibra’s DQ Pushdown enhances efficiency, cost management, security and reduces time to value. Our break record storage and quarantine options for exception records ensure safe and secure handling of data remediation issues.
