Accessing data for Next Best Offer 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 MasterCustomerRecommendation 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.
To verify and review with an export job:
- Follow the steps for Creating export jobs.
- When you get to Step 2: Data payload, for Payload type, select Data object.
- In the field for Data object, select MasterCustomerRecommendation.
When the data object is exported, review the following output attributes.
Data object | Attribute | Description |
---|---|---|
MasterCustomer Recommendation | PromotionID | The unique identifier for the promotion. |
MasterCustomer Recommendation | CategoryID | The unique identifier for the category. |
MasterCustomer Recommendation | MasterCustomerID | The unique identifier for the customer. |
MasterCustomer Recommendation | SourceID | The unique identifier for the source. |
MasterCustomer Recommendation | SourceMasterCustomerID | The unique identifier for the customer originating from the source. |
MasterCustomer Recommendation | SourceMasterCustomerRecommendationID | Provided by the Next best offer model. It is a concatenation of MasterCustomerID, PromotionID, and CategoryID. |
MasterCustomer Recommendation | Rank | The rank calculated by the module once scores are generated by the model. |
MasterCustomer Recommendation | Score | Scores that are generated by the recommendation model, which is the estimated event strength predicted by the model based on the data provided. |
To verify and review using the Data viewer page:
- Click the Oracle icon in the bottom-right corner to open the navigation menu.
- Select Data viewer.
- Use the drop-down menu for Select or search for data object and select MasterCustomerRecommendations.
- Click Filters . The Filters dialog displays.
- Use the drop-down menu to select or search for the following attributes.
- Click Add.
- Use the drop-down menu for the output attributes and select the Is not empty operator.
- Click Apply.
- Click Column settings.
- Click the checkbox for the output attributes to display them.
- Click Apply.
Data object | Attribute | Description |
---|---|---|
MasterCustomer Recommendation | PromotionID | The unique identifier for the promotion. |
MasterCustomer Recommendation | CategoryID | The unique identifier for the category. |
MasterCustomer Recommendation | MasterCustomerID | The unique identifier for the customer. |
MasterCustomer Recommendation | SourceID | The unique identifier for the source. |
MasterCustomer Recommendation | SourceMasterCustomerID | The unique identifier for the customer originating from the source. |
MasterCustomer Recommendation | SourceMasterCustomerRecommendationID | Provided by the Next best offer model. It is a concatenation of MasterCustomerID, PromotionID, and CategoryID. |
MasterCustomer Recommendation | Rank | The rank calculated by the module once scores are generated by the model. |
MasterCustomer Recommendation | Score | Scores that are generated by the recommendation model, which is the estimated event strength predicted by the model based on the data provided. |
You can review values for up to 200 records.