You can identify the reasons behind poor data quality scores in the assets you discover with the help of the data quality diagnosis skill of the data quality agent.
You can get insights on the data elements and dimensions that led to poor scores, the data quality rules that contributed to poor scores, or any records that violated data quality rules. CLAIRE GPT uses the data quality diagnosis skill of the data quality agent to diagnose the data elements and rules that led to the poor scores.
When you ask questions to diagnose the data quality of your assets, the response includes lineage insights. The lineage insights show how upstream and downstream assets in the lineage of an asset affect the data quality scores.