---
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title: Other Data 360 Features for Marketers
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version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mktg_audiences_data_cloud_features_ref.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mktg_audiences_data_cloud_features_ref.htm&release=264.0.0&type=5
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content_type: documentation
content_hash: 282bac11316abce1fdf8b4294a4355116d3d8025aee4fbe3e6fdaa896d07d444
description: Marketing Cloud Next includes other Data 360 features that can help you with segments and reporting.
products:
  - Marketing
release: "264"
---
# Other Data 360 Features for Marketers

Marketing Cloud Next includes other Data 360 features that can help you with segments and reporting.

### 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: <span>Salesforce <strong class="uicontrol">Enterprise</strong> and <strong class="uicontrol">Unlimited</strong> Editions with Marketing Cloud Next <strong class="uicontrol">Growth</strong> or <strong class="uicontrol">Advanced</strong> Edition</span></td></tr></tbody></table>

 
| Feature | Description |
| --- | --- |
| [Bring Your Own Model](https://help.salesforce.com/s/articleView?id=data.c360_a_bring_your_own_model.htm&language=en_US) | Build, train, and explore a data model with the Data 360 Python connector, which moves data between your prediction and a Data Model Object (DMO). This connector is built on [Query API](https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/resources_query.htm). |
| [Calculated Insights](https://help.salesforce.com/s/articleView?id=data.c360_a_calculated_insights.htm&language=en_US) | Define and calculate multidimensional metrics on profile, segment, and population objects. |
| [Data Actions](https://help.salesforce.com/s/articleView?id=data.c360_a_data_actions_cdp.htm&language=en_US) | Trigger actions with Salesforce Platform Events or webhooks using streaming insights and engagement data. |
| [Data Explorer](https://help.salesforce.com/s/articleView?id=data.c360_a_data_explorer.htm&language=en_US) | Validate data lake objects, data model objects, and calculated insights to ensure that data and formulas are accurate. |
| [Data Graphs](https://help.salesforce.com/s/articleView?id=data.c360_a_data_graphs.htm&language=en_US) | Combine and transform normalized table data from data model objects (DMOs) into new, materialized views of your data. |
| [Data Shares](https://help.salesforce.com/s/articleView?id=data.c360_a_data_shares.htm&language=en_US) | Give third-party partners access to your data, so that they can build powerful analytical insights and machine learning models. |

#### See Also

- [_Knowledge Article_: Tips for Managing Data Cloud Credit Consumption](https://help.salesforce.com/s/articleView?id=004633782&type=1&language=en_US)