Accessing data for Next Best Promotion models

After Running training and scoring jobs that calculate values for output attributes, you can do one of the following to access the data.

  • Create an export job and select the Customer_pricepromotion data object to export. You can then review the values in the output attributes.
  • Sample data for the model outputs can be viewed using the Data viewer page. You can view a maximum of 200 records from a data object.

    • An image of the Data viewer

To verify and review with an export job:

  1. Follow the steps for Creating export jobs.
  2. When you get to Step 2: Data payload, for Payload type, select Data object.
  3. In the field for Data object, select Customer_pricepromotion.

When the data object is exported, review the following output attributes.

Attribute Description
SourceCustomer_pricepromotionID Automatically generated value that is the same as Customer ID.
SourceID the unique identifier for the source.
SourceCustomerID The unique identifier for the customer.
Recommendation Type The "Product Price", represented as a static value.
ProductID The unique identifier for the product.
ProductRank The ranking of the recommended products.
Price_Min The calculated minimum price for the customer.
Price_Max The calculated maximum price for the customer.

To verify and review using the Data viewer page:

  1. Click the Oracle icon Image of the application navigation button. Use it to access the different parts of Oracle Unity. in the bottom-right corner to open the navigation menu.
  2. Select Data viewer.
  3. Use the drop-down menu for Select or search for data object and select Customer_pricepromotion.
  4. Click Filters An image of the filters icon. The Filters dialog displays.
  5. Use the drop-down menu to select or search for the following attributes.
    6. Attribute Description
    SourceCustomer_pricepromotionID Automatically generated value that is the same as Customer ID.
    SourceID the unique identifier for the source.
    SourceCustomerID The unique identifier for the customer.
    Recommendation Type The "Product Price", represented as a static value.
    ProductID The unique identifier for the product.
    ProductRank The ranking of the recommended products.
    Price_Min The calculated minimum price for the customer.
    Price_Max The calculated maximum price for the customer.
  6. Click AddAn image of the Add button.
  7. Use the drop-down menu for the output attributes and select the Is not empty operator.
  8. Click Apply.
  9. Click Column settingsAn image of the column settings button.
  10. Click the checkbox for the output attributes to display them.
  11. Click Apply.

You can review values for up to 200 records.

Learn more

Viewing data object records

Creating export jobs

data science, data science model, analyze data, how to analyze data, how to analyze data science models, how to analyze data science profiles, next best promotion, nbp