Data quality

Data quality is a tool that measures if your data meets the requirements for its intended use. It ensures your data is accurate, consistent, complete, and reliable—qualities essential for making reliable business decisions. High-quality data minimizes errors and fosters confidence in your insights. However, what is considered "high quality" or "good" can vary based on the specific use case. That's why Dataedo allows you to define what to check and set your expectations for data quality.

With Dataedo's data quality feature, you can:

Create rule instances by selecting from over 80 predefined rules tailored to your needs.

Browse data quality results so your team can confidently make data-driven decisions.

Monitor changes in the number of failed rows over time.

Save and identify failed rows directly in your data source for quick fixes.

Schedule data quality runs as often as needed based on the importance of your data.

In this section

Explore the full range of capabilities offered by Dataedo's data quality tool to help maintain accurate and reliable data for your organization.

Create rule instances

Learn how to create rule instances for data quality.

Create custom rules

Learn how to create custom rules for data quality.

Browse results

Learn how to browse your data quality results.

Run data quality

Learn how to run data quality.

Supported connectors

Dataedo integrates with a variety of connectors to ensure that your data quality checks can be applied across multiple data sources.

OracleMySQLAmazon AuroraPercona Server for MySQLMariaDBSQL ServerAzure SQL DatabaseAzure Synapse AnalyticsAzure SQL EdgeMS Fabric - Data WarehousePostgreSQLSnowflake