The data quality agent has specific skills that can help you achieve data quality goals in your organization with intelligent autonomy.
The data quality agent has the following skills:
•Data quality assessment. Identifies and analyzes assets based on data quality scores, statuses, or any specific data quality criteria. You can perform data profiling on demand and identify outliers in your data. For more information, see Data quality assessment.
•Data quality diagnosis. Diagnoses the data quality of assets to gain additional insights into your assets. For more information, see Data quality diagnosis.
•Data quality rule recommendation. Recommends data quality rules for assets that don't have rules associated with them. You can accept the recommended rules to identify data quality failures and to ensure that the data meets high standards of quality. For more information, see Data quality rule recommendation.
•Data quality cleanse. Generates cleansed data for the files you upload or data sets you specify from a catalog. For more information, see Data quality cleanse.
•Data quality rule generation. Extracts business rule descriptions in natural language from a file or prompt and converts them into data quality rule specifications in Data Quality. For more information, see Data quality rule generation.