Data Quality Agent > Data quality assessment > Sample conversation
  

Sample conversation

Let's take a look at a sample conversation to help you get started on your Data Governance and Catalog data quality assessment journey in CLAIRE GPT.
As a data steward in a marketing agency, you want to find the purchase history of Japanese customers to design a promotional campaign. To do this, you analyze the historical data for all your customers across the globe.
To achieve the goal, perform the following steps:
  1. 1Log in to CLAIRE GPT.
  2. 2Start a conversation to identify and profile the data for Japanese customers by focusing on their purchase patterns.
    3. Enter the following prompt:
    Profile the data in the attached file for customer purchase data. Focus only on the shopping amount, transaction site, and country. For the country column, use only the rows where the value is Japan.
    The following image shows the response displaying the data profile for the purchase patterns of Japanese customers:
    The response displaying the data profile for the purchase patterns of Japanese customers.
  3. 3To view the detailed data profile for the customer table, click the card named Data Profile.
    4. The following image shows the canvas of the data profile of the customer data:
    The response displays the profiled data.
Using the data quality assessment skill of the data quality agent, CLAIRE GPT found the subset of data that provides you information on the purchase patterns of Japanese customers.