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 customer data of a financial corporation for whom your agency intends to design a promotional campaign. To do this, you want to assess the quality of the data provided by the corporation.
To achieve the goal, perform the following steps:
  1. 1Log in to CLAIRE GPT.
  2. 2Start a conversation to identify the table that contains the data provided to your agency by the financial corporation and run a data quality assessment.
    3. Enter the following prompt:
    Identify the tables that contain customer details and do a data quality assessment on it.
    The following image shows the response displaying data sets from various catalog sources that include customer data provided to your agency by various corporations that contracted your agency:
    The response displays tables containing customer details and data quality scores. The response also displays key insights into the overall data quality assessment across multiple dimensions.
    You identify that the DIM_CUSTOMER table contain the data that you seek.
  3. 3To preview all the tables in your catalog, click the Technical Assets in Data Governance and Catalog card.
  4. 4Enter the following prompt to run data profiling on the DIM_CUSTOMER table:
    5. Show data profile for the first 20 rows of DIM_CUSTOMER
    The following image shows the response displaying the data profile for the first 20 rows of the DIM_CUSTOMER table:
    The response displaying the data profile for the first 20 rows of the DIM_CUSTOMER table.
  5. 5To view the detailed data profile for the customer table, click the card named Customer Data Profile.
    6. The following image shows the canvas of the data profile of the customer data:
    The response displays 20 rows with profiled data.
    Note:
    If the data profile of the requested asset is not available in the catalog,
    CLAIRE GPT
    performs on-demand data profiling of the data elements in the data set to return the data summary.
Using the data quality assessment skill of the data quality agent, CLAIRE GPT has found the table that contains the information on the customers of the financial corporation, completed the data quality assessment on the discovered table, and profiled the table data.