---
schema_version: "1"
id: 45ba4a8451df83177884338c3ed988440561c157f98e30703b92f75e5ad462f9
title: Select Whether to Connect to a Salesforce Object
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_model_deploy_object.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_object.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: b658b762a46538e81cf17fdd68f8c205bbe62ee47516e127e47a512b447e5e7a
description: If you deploy this model to a new or existing prediction definition, decide which Salesforce object, if any, you want to associate with the prediction.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Select Whether to Connect to a Salesforce Object

If you deploy this model to a new or existing prediction definition, decide which Salesforce object, if any, you want to associate with the prediction.

![Connect to an Object page, showing options for connecting to a Salesforce object](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/bi/images/bi/bi_edd_model_deploy_object.png)

If this model doesn’t depend on a Salesforce object, select **Deploy without connecting to a Salesforce object** and click **Next** to proceed to [Configure Segmentation Filters](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_filter.htm&release=264.0.0&type=5 "Choose whether to use the model to get predictions on all data or on just a segment (subset) of the data. For example, you can focus on a specific product model or a group of customers. A prediction definition can contain multiple models in which each model produces predictions for a different segment."). Skip selecting a Salesforce object only if you intend to use the model for these use cases:

- Programmatic predictions via the [Get Predictions and Improvements with Einstein Prediction Service](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_prediction_service.htm&release=264.0.0&type=5 "The Einstein Prediction Service REST API enables you to programmatically run predictions, manage prediction definitions, and manage models. After deploying models with Einstein Discovery, use the Einstein Prediction Service REST API to embed your predictions into any website or application.")
- Dataset scoring via the [prediction Transformation](https://help.salesforce.com/s/articleView?id=analytics.bi_integrate_prediction_transformation.htm&release=264.0.0&type=5 "The prediction transformation produces an Einstein Discovery prediction for a dataset. Einstein Discovery uses predictive analytics, which analyzes historical data (based on data mining, machine learning, and predictive statistical modeling) to identify patterns and predict future outcomes.") component in CRM Analytics dataflows

In all other cases, selecting a Salesforce object during deployment is required.

You can't connect an Einstein Discovery model to a Data 360 object.

1. Select the target Salesforce object that you want to add this model to.
    
    Einstein Discovery scans the object and alerts you whether you’re missing any fields required to make predictions. If you have missing fields, deploying the model requires development work by the Salesforce Admin to expose the predictions.
2. Click **Next**.