Enrich a data model object (DMO) with outputs. Use a data transform to add predictive and
prescriptive intelligence to your data. Run data transformations and save the outputs, such as
prediction scores, on a DMO. Use each row of the output to create derived columns and run
calculations. You can also build data visualizations using output data saved on the DMO in other
Salesforce applications, such as in Tableau, CRM Analytics, and app templates.
Required Editions
| USER PERMISSIONS
NEEDED |
| Allow users to manage models in AI Models |
Enables you to create, update, and delete models in AI Models. |
| PERMISSION SETS |
| Data Cloud Architect |
Admin-level access to all AI Models features, including the ability to create,
update, delete, and activate models. |
| Data Cloud User |
Restricted access to use a model, including getting predictions and
improvements derived from a model. |
- In Data Transforms, click New.
- Select Batch Data Transform.
- Click Data Model Objects and select the data space where you
want to store the output.
- Select the DMO that you want to add the input data to and the fields that you want to
use.
If you change the DMO during the transformation, your data will reset and you must start
over.
- To add a transform node, click + on the DMO.
- To initiate the data transform node, click AI Model.
- Select the AI model, and click Next to launch the model in the
transform editor.
- On the Map Fields tab, map your model schema fields with your input fields.
- On the Modify Output tab, to include factors with the highest impact on each
prediction, click Top Predictors. This setting appends a
description and an impact column on your dataset.
This tab appears only for Salesforce-created models.
- Select up to three predictors.
- Preview your data and check the columns in your output DMO.
- To save your prediction outputs in the DMO, click Apply.
To visualize your data inputs, upload your DMO to other applications in Salesforce,
such as CRM Analytics.
