Data 360

Data 360 features and changes are released as often as monthly, so check back again soon for the latest solutions. Changes included in the Summer ’26 release are generally listed under June 2026.

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.

August 2026

KEY JOB AREA FEATURE AND Release Note
Connect Data
Process Content
Use Search in Data 360
Build and Share Functionality
Act on Data

July 2026

KEY JOB AREA FEATURE AND Release Note
Connect Data
Prepare and Model Data
Process Content
Use Search in Data 360
Build and Share Functionality
Create Segments
Act on Data
Develop with Data 360

June 2026

KEY JOB AREA FEATURE AND Release Note
Cross Cloud
Usage and Access Changes
Get Started
Govern & Secure
Connect Data
Prepare and Model Data
Unify Data
Query and Enhance Data
Process Content
Use Search in Data 360
Build and Share Functionality
Create Segments
Act on Data
Develop with Data 360

May 2026

KEY JOB AREA FEATURE AND Release Note
Usage and Access Changes
Govern & Secure
Connect Data
Prepare and Model Data
Process Content
Use and Build AI Models
Build a Semantic Model
Act on Data
Analyze Data
Develop with Data 360
  • Get Started with Data Cloud
    Learn about editions, feature availability, guidelines and billing before you get started using Data 360.
  • Plan Data Strategy
    Before implement Data 360, determine strategies for org architecture, data model structure, governance, consent, and security policies.
  • Connect Data
    Bring data into Data 360 by either ingesting data or connecting metadata using data federation.
  • Prepare and Model Data
    Transform your raw data, map to the Customer 360 Data Model, and build data graphs in Data 360.
  • Unify Data
    Use identity resolution to consolidate data from different sources into comprehensive views of your customers and accounts in Data 360.
  • Enhance Data with Insights
    Get the most out of your data in Data 360 by creating calculated, streaming, or real-time insights.
  • Use and Build AI Models
    Create your own predictive models or connect to external AI models using Data 360.
  • Build a Semantic Model
    Create, manage, and query semantic models using Tableau Semantics.
  • Process Content
    Use tools in Data 360 to process unstructured content and structured data for use in AI, automation, and analytics workflows.
  • Use Search in Data 360
    Ground search on unstructured and structured data in Data 360 to use generative AI, improve analytics, and use automation tools.
  • Build and Share Functionality
    Extend the use of Data 360 by building a sharing functionality using data kits and packages.
  • Create Segments
    Create segments in Data 360 to understand, filter, and then use unified data for marketing and other purposes.
  • Act on Data
    Share your data with external data sources, create data actions, creation activation targets and activations, build flows, or enrich your Salesforce org with Data 360 data.
  • Analyze Data
    Use various tools and products to analyze your data from Data 360 to gain insights and take action.
  • Develop with Data 360
    Build, automate, and extend your data strategy using developer tools and APIs to create seamless integrations and custom solutions within Data 360.
  • Govern and Secure Data 360
    Protect your data with governance policies, classification, and security controls.