You can discover and analyze assets based on data quality scores, status, or any specific data quality criteria with the help of the data quality assessment skill of the data quality agent.
You can view a summary of the data elements in your catalog. You can identify outliers in your data by requesting a detailed summary that includes data types, statistics, and the number of null and unique values. If the data profile of the requested asset is not available in the catalog, CLAIRE GPT performs on-demand data profiling of the data elements in the data set to return the data summary.
You can effectively explore and assess the data quality of systems and business data sets from a business perspective. For example, you can ask to view the data quality rules created by a stakeholder, or rules created in the last quarter, and so on.