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Data 360 Features and Learning Path
Organize and unify data across Salesforce and other external data sources. After data has been ingested or connected to Data 360, use that data to drive personalization and engagement through the creation of audience segments. Also with identity resolution you can achieve a single, actionable view of your customer built on the world’s #1 customer platform.
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.
With Data 360 you can:
- Connect any type of data,unstructured or structured, via ingestion or zero copy.
- Create unified profiles across all touchpoints by connecting identities, engagement data, customer orders, loyalty, and marketing journeys.
- Use unified data for improved search capabilities.
- Build smarter audience segments by using insights and filtering.
- Activate data from anywhere across your organization.
- Analyze your data with tools like Tableau, Tableau Next, or Marketing Cloud Intelligence.
Get Started with Data 360
New to Data 360? Start here.
| Find Resources | |
| Understand Billing |
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| Develop a Plan |
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| Identify Use Cases | |
| Implementation Steps |
Govern and Secure
Ensure consistent, governed data access at scale with tagging, classifications, and policy-based governance. Set up data spaces, configure security features, and understand ethical data best practices.
| Set Up Governance Policies |
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| Set Up Data Spaces | |
| Enhance Security | |
| Understand Privacy and Ethics |
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Connect and Unify
Once you have the basic implementation, it’s time to start connecting your data to Data 360.
| Connect Data |
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| Prepare Data |
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| Model Data | |
Unify Data |
Process and Enrich
Prepare your data for search and AI use cases with intelligent processing methods.
| Plan for AI Projects |
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| Create and Enhance Search Indexes |
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Explore and Optimize
Explore your data with clicks, natural language, or SQL. Optimize your data for fast, efficient look ups by creating data graphs and secondary indexes.
| Build Data Graphs | |
| Query Data |
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| Explore Data |
Segment and Act
Segment your data and then act on that data both in and out of Data 360.
| Segment Data | |
| Act on Data |
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| Data 360 Across Salesforce |
Analyze and Predict
Generate metrics and reports based on your data, ask questions about it, and build AI and semantic models.
| Generate Insights | |
| Build AI Models | |
| Build a Semantic Model | |
| Analyze Your Data |
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Build and Share
Set up a Data 360 sandbox to test functionality and then extend the use of Data 360 by creating and installing data kits.
| Use a Sandbox | |
| Create Data Kits | |
| Find Developer Tools |
