---
schema_version: "1"
id: 179cb14d6260eb868f93f70638f607da44942b3e62fbe7bc98cfb056059f565e
title: Create Data Streams to Monitor Einstein Service Replies
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ai/264-0-0/generative_ai_analytics_service_reply_create_data_streams.md
canonical_url: https://help.salesforce.com/s/articleView?id=ai.generative_ai_analytics_service_reply_create_data_streams.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 08dca66f6930e7f8b0968e03dd398c608ec6fa8275212c9863df79a830c5286b
description: Create data streams to bring the case and message data stored in Salesforce CRM objects into Data 360.
products:
  - Agentforce
  - Cross Cloud
release: "264"
---
# Create Data Streams to Monitor Einstein Service Replies

Create data streams to bring the case and message data stored in Salesforce CRM objects into Data 360.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>Enterprise</strong>, <strong>Performance</strong>, and <strong>Unlimited</strong> Editions with an Einstein for Sales, Einstein for Platform, Einstein for Service, Einstein 1 Service, or Einstein GPT Service add-on. To purchase add-ons, contact your Salesforce account executive.</td></tr></tbody></table>

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
        <colgroup>
          <col style="width:50%">
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        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d170342e65">User Permissions Needed</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">To edit a data stream</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">Customer Data Cloud Admin or Customer Data Cloud for Marketing Data Aware
              Specialist</td>

          </tr>
          <tr class="">
            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">To turn on data collection:</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">View Setup </td>

          </tr>
          <tr class="">
            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">&nbsp;</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">AND</td>

          </tr>
          <tr class="">
            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">&nbsp;</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d170342e65 ">Customize Application</td>

          </tr>
        </tbody>
      </table>

To collect generative AI audit and feedback data, [Set Up Einstein Generative AI Audit and Feedback](https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_enable.htm&release=264.0.0&type=5 "To collect Einstein generative AI audit and feedback data, turn it on in Einstein Setup. For orgs with only one dataspace, it’s turned on by default when Agentforce is turned on.").

Creating data streams to bring the case and message data into Data 360 is one of the steps required to create reports so you can analyze and monitor Einstein Service Replies. See [Monitor and Analyze Einstein Service Replies](https://help.salesforce.com/s/articleView?id=ai.generative_ai_analytics_service_reply_insights.htm&release=264.0.0&type=5 "Evaluate and track the effectiveness of Einstein Service Replies in your organization by creating custom report types that connect case and messaging session data with generative AI audit and feedback data.").

1. In Data Cloud, go to the Data Streams tab and click **New**.
2. For the data source, select Salesforce CRM and click Next
3. Select a Salesforce org. If you have only one Salesforce org connected to Data Cloud, it’s selected by default.
4. Select All Objects and click **Next**.
5. Select Case and click **Next**.
6. Select the fields that you want to include, and click **Next**. Make sure to select **Id**, System Modstamp.
7. For Category, select **Engagement**.
8. For Event Time Field, select **System Modstamp** and click **Next**.
9. Name the data stream Case Information, select the data space, and click **Deploy**.
10. On the data stream page, click **Start** in the data mapping section.
11. Click Select Object and select **Custom Data Model**.
12. Click **New Custom Object** and click **Save**.
13. Repeat these steps for the Messaging Session or the Live Chat Transcript object. If you use both Messeging for In-app and Salesforce Chat, repeat the steps for both objects.

You now map the fields in the data stream to create a custom data model. See [Link Case and Messaging DMOs to Generative AI Data](https://help.salesforce.com/s/articleView?id=ai.generative_ai_analytics_service_reply_create_relationships.htm&release=264.0.0&type=5 "Create relationships between your custom data model objects (DMOs) and the generative AI data model objects (DMOs).") .