4 Data Quality Dashboards

The Data Quality Visualization offers insights into data quality issues detected during data ingestion. Users can:

• View error records associated with specific entities to identify data inconsistencies or loading issues.
• Analyze data movement errors using error datasets that track records with read or load errors.
• Utilize a grid view to pinpoint the type and source of errors within staging entities.
• Access tools for error remediation, aiding in the correction and reprocessing of problematic records.

This visualization facilitates error identification, supports remediation efforts, and ensures the integrity of data before it moves to subsequent stages in the DFCS workflow.