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About Salesforce Data 360
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            Prepare and Model Data

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            Prepare and Model Data

            Data being brought into Data 360 can be transformed and prepped before mapping. During data mapping, the preserved data source schema is mapped to an opinionated and extensible data model, called the Customer 360 Data Model. After the data is mapped, you can further query and manipulate your data to make it easier to work with for use across Salesforce.

            Note
            Note

            As of October 14, 2025, Data Cloud has been rebranded to Data 360. During this transition, you may see references to Data Cloud in our application and documentation. While the name is new, the functionality and content remains unchanged.

            The data model is powered by the Customer 360 Data Model, by way of a data lake object (DLO) to data model object (DMO) mapping and relationship experience. Information about an individual is stored in the Unified Individual DMO, enabling marketers to create a segmentation strategy and publish segments to activation targets.

            To learn more, review the associated Trailhead content.

            Trailhead iconCustomer 360 Data Model for Data 360

            Trailhead iconBatch Data Transforms in Data 360: Quick Look

            Trailhead iconStreaming Data Transforms in Data 360: Quick Look

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            • Data Cleansing and Preparation
              Cleaning and preparing your data is crucial for success when using the Data 360 segmentation and activation capabilities.
            • Data Mapping
              Data ingested by all data streams is written to data lake objects (DLOs). After creating your data streams, you must associate your DLOs to data model objects (DMOs). Only mapped fields and objects with relationships can be used for Segmentation and Activation.
            • Data Model Objects (DMOs)
              Create, view, and manage data model objects (DMOs). DMOs are fundamental to Data 360. Familiarize yourself with the definitions, concepts, and resources related to DMOs before creating or working with them.
            • Data Graphs
              A data graph brings together structured data from your Data Model Objects (DMOs) in Data 360. It combines this data to create easy-to-use views of your information.
            • Data Explorer
              With Data Explorer, you can validate data lake objects, data model objects, calculated insights, and data graphs to ensure that your data and formulas are accurate.
             
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