Using CLAIRE GPT > Data Governance and Catalog
  

Data Governance and Catalog

CLAIRE GPT integrates with Data Governance and Catalog to help you discover assets, explore metadata of assets, assess the quality of your data, explore source data, and identify data sets that meet your business requirements.
The following table lists the Data Governance and Catalog tasks that you can perform using CLAIRE GPT:
Task
Description
Data discovery
Quickly search and discover assets from the catalog of enterprise assets. Start conversations to search for data assets relevant to your business use case and discover semantically similar assets. You can find assets by catalog source type, created date, owner, name, and relationships.
For more information about data discovery, see Discover assets from the catalog.
Metadata exploration
Explore, view, and understand the metadata of an asset present in the catalog of enterprise assets. Metadata exploration includes identifying an asset's overview, stakeholders, data profile, data quality score, ratings, lineage, and system attributes.
For more information about metadata exploration, see Explore metadata of assets from the catalog.
Data quality
Analyze the data quality of assets in your organization, detect outliers, and get data quality rule recommendations for the assets.
For more information about data quality, see Data quality agent.
Data exploration
Understand the quality and shape of your source data and identify data anomalies.
For more information about data exploration, see Explore source data of assets from the catalog.