Owl offers a full DQ suite to cover the unique challenges of each dataset.
​See Complete Feature List Breakdown For More Information​
9 Dimensions of DQ
Behavior - Metadata monitoring
Rules - SQL-based rules engine
Outliers - Anomalous records, clustering, time-series, categorical
Pattern - Classification, cross-column & parent/child anomalies
Source - Source to target reconciliation
Record - Deltas for a given column(s)
Schema - When columns are added or dropped
Dupes - Fuzzy matching, Identify similar but not exact entries
Shapes - Typos and Formatting Anomalies