You can use the discovery agent to search and discover assets in your catalog with CLAIRE GPT.
After extracting metadata from the required source systems into Data Governance and Catalog, you can use CLAIRE GPT to search for business and technical assets, view relationships between assets, view the stakeholders that are responsible for the assets, and so on.
Note:
When you use data discovery to find assets in the catalog, critical data elements appear first in the response.
Prerequisites
Before you perform data discovery tasks in CLAIRE GPT for Data Governance and Catalog, ensure that you perform the following tasks:
•Enable the Data Governance and Catalog service for the runtime environment that your organization uses. For more information, see Runtime Environments in Administrator.
•Verify that you extracted metadata from the required source systems into the catalog. For more information, see Asset Discovery in Data Governance and Catalog.
For information about how to set up CLAIRE GPT for users in your organization, see Administer CLAIRE GPT.
Sample conversation
Let's take a look at a sample conversation to help you get started on your Data Governance and Catalog data discovery journey in CLAIRE GPT.
You’re a data analyst, and you want to segment customers based on different customer attributes. Your organization catalogs its customer data in Data Governance and Catalog. You want to look at customer data sets in the catalog to identify information that you can use in your analysis.
To achieve the goal, perform the following steps:
1Log in to CLAIRE GPT.
2Start a conversation to help you identify the data set which is most suitable to perform customer segmentation.
Enter the following prompt:
I am new to CLAIRE. I am tasked to perform customer segmentation based on different attributes. Can you help identify the data set which best fits this task?
The following image shows the response displaying a set of certified customer data sets that can be used for customer segmentation:
Using the data discovery skill, the discovery agent has found four certified data sets that can be used to segment customers.
To view the data sets, click the card named Certified customer datasets suitable for segmentation analysis.
The following image shows the canvas with a tabular view of the customer data sets suitable for segmentation analysis:
The response provides a summary stating that the CUSTOMER_ANALYTICS table is the most suitable data set due to its certification, diverse attributes, and high data quality score. You can continue to analyze the CUSTOMER_ANALYTICS data set. Click the asset name to open it in Data Governance and Catalog.
The discovery agent has helped you identify the best customer data set to perform customer segmentation.
