---
title: "Data Quality | OWOX"
canonical: "https://www.owox.com/product/data-quality"
updated: "2026-09-17"
---

# Data Quality

## Features

## Data Quality features

[![Data Quality Checks](https://cdn.owox.ai/www/portfolio-management-product-feature/data-quality-checks/video-thumb/1.png/w=1200,fit=scale-down,format=auto)](https://customer-4geatlj66rtkaxtz.cloudflarestream.com/47c2b9e1d8866977eda4d06716e9d5ec/iframe)

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](https://cdn.owox.ai/www/portfolio-management-product-feature/data-freshness-tracking/video-thumb/1.png/w=1200,fit=scale-down,format=auto)](https://customer-4geatlj66rtkaxtz.cloudflarestream.com/a84ec42f202ea5c31254ea1c41bcbdf0/iframe)

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.