OpenMetadata/openmetadata-docs/content/v1.7.x/how-to-guides/data-quality-observability/quality/overview.md

title	slug	collate
Data Quality Overview Section	/how-to-guides/data-quality-observability/quality/overview	true

Data Quality Overview Section

The SaaS version of Collate offers an overview of the data quality test results grouped by dimensions. This gives users a quick insight about data quality performance centered around meaningful categories.

The 6 categories are defined as:

• Completeness: contains test cases allowing user to validate if any values are missing from a column/table (e.g. Column Values To Be Not Null)
• Accuracy: contains test cases allowing user to validate if any values represent their expected values in the real world (e.g. Column Value Max To Be Between)
• Consistency: contains test cases allowing user to validate the information stored between data processing is consistent with the expectations (e.g. Table Data Diff)
• Validity: contains test cases allowing user to control the data represent the specifications/expectations of the domain (e.g. Column Values To Not Match Regex)
• Uniqueness: contains test cases allowing user to control for potential duplicates in the data (e.g. Column Values To Be Unique)
• Integrity: contains test cases allowing user to validate the integrity of entity attributes (e.g. Table Column Count To Be Between)

For a full list of test cases and their dimensions click here

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