Qualytics uses your historic data to automatically infer rules that identify anomalies in existing and new data. These rules evolve as your data evolves, ensuring that your data quality is continuously optimized and adapted to changing business environments.
Rules are inferred and enforced across all the Qualytics 8 categories. Qualytics customers find that approximately 85% of their needed rules are discovered and maintained in fully automated fashion by our machine learning algorithms. To complement these and achieve 100% of desired coverage, teams are able to easily author custom rules leveraging their internal subject matter expertise with Qualytics’ declarative data quality rules system.
Qualytics supports periodic and ongoing monitoring for anomalies in all the Qualytics 8 categories. Our advanced anomaly detection capabilities enable teams to easily identify and flag abnormal data values or patterns in your data ecosystem.
By exposing anomalies and the metadata around them, Qualytics empowers teams to take corrective actions in their data pipelines.
Automatically triggering remediation workflows for specific types of errors and ensuring that issues are resolved quickly and efficiently.
Qualytics fits seamlessly into your data stack.
