Product Help Agent > Product documentation research > Sample conversation
  

Sample conversation

Let’s take a look at a sample conversation to help you get started with queries about Informatica services in CLAIRE GPT.
Your organization maintains its catalog in Data Governance and Catalog. As a data steward, you want to discover customer tables that don't have data quality rules and learn how to add data quality rules to them. The tables containing customer information are available across various catalog sources and you want to specifically add data quality rules to a Snowflake table.
  1. 1Log in to CLAIRE GPT.
  2. 2Start a conversation to help you identify tables that contain customer information but don't have data quality rules.
    3. Enter the following prompt:
    Show customer tables don't have data quality rules
    The following image shows the response displaying a set of customer tables that don't have data quality rules Data Governance and Catalog:
    Response from CLAIRE GPT displaying the card named 'Technical Assets in Data Governance and Catalog' containing the list of customer tables that don't have data quality rules.
    Using the data discovery skill, the discovery agent identifies all customer tables that don't have data quality rules applied. To view all the tables, click the card named Technical Assets in Data Governance and Catalog.
  3. 3You have identified the CUSTOMER table from Snowflake and you want to learn how to add data quality rules to the table.
    4. Enter the following prompt:
    How do I add data quality rules to CUSTOMER?
    The following image shows the response displaying information about how to create data quality rules for tables that belong to the Snowflake source system:
    Response from CLAIRE GPT displaying contextual information about how to add data quality rules for a Snowflake table called CUSTOMER.
    Using the product documentation research skill, the product help agent identifies that the CUSTOMER table belongs to the Snowflake source system and displays the information that you need to understand how to create data quality rules for a Snowflake table in Data Governance and Catalog. The agent uses the context of the metadata that is catalogued to provide specific responses.
    You can navigate to the inline documentation link that CLAIRE GPT provides with each step in the response, get detailed instructions, or explore the other actions suggested by CLAIRE GPT.