Data Quality

Data Quality

Features

Data Quality features

Data Quality Checks

F01

Data Quality Checks

A report built on empty tables, duplicate rows or broken joins spreads bad numbers before anyone notices. OWOX validates a published Data Mart at the table, field and relationship level, on demand or on a schedule, and shows the violation counts, example values and SQL behind every finding — so business users report on data the analyst has checked.

Data Freshness Tracking

F02

Data Freshness Tracking

A report or AI answer built on stale data looks just as convincing as a current one. OWOX shows when the source tables behind each Data Mart were last written to — on the mart's page, on the model canvas and in MCP responses — with nothing to configure and no credits consumed.