Quality Score

Quality score evaluates the accuracy, completeness and consistency of a dataset. It is used to determine whether external data is reliable enough for reporting and analysis. High quality scores improve trust and reduce downstream issues.

Why it matters

• Supports stable reporting and analytics
• Prevents errors caused by incomplete or inconsistent data
• Improves confidence in insights used for decision making

How it is used

• Automated quality checks in pipelines
• Data validation dashboards
• Import.io monitoring and governance workflows