--- schema_version: "1" id: 445ab36fd499d1dd1efce28f9cd15f931a89f1a44dc9addec87f588eea143539 title: Tableau Next Overview collection: tableau version: current locale: en-gb portal_url: https://docs.salesforce.com/tableau/current/en-gb/tableau-next/tableau_next_overview.md canonical_url: https://help.tableau.com/current/tableau-next/en-gb/tableau_next_overview.htm source_site: help.tableau.com content_type: documentation content_hash: f87e94507f879c6542eeb0761dae223e063aac4e280176aed240465ee54db567 description: Overview of Tableau Next, workspaces, and analytic assets. --- [Skip to main content](#main-content) # Tableau Next Overview > [!WARNING] > > As of 14 October 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. Tableau Next is a flexible, API-first analytics platform built with a unified data layer and trusted semantics, and it integrates Salesforce with Agentforce. Curious about how Tableau Next fits with Tableau? See [Tableau's Products and Features](https://help.tableau.com/current/tableau-next/en-gb/tableau_next_tableau_product_overview.htm). **Tip:** For details about Tableau Next, check out [Tableau Next documentation](https://help.salesforce.com/s/articleView?id=analytics.tua.htm&type=5) in the Salesforce Help Centre. Tableau Next is structured around the concept of [workspaces](https://help.salesforce.com/s/articleView?id=analytics.tua_workspace.htm&type=5) as organisational units for [assets](https://help.salesforce.com/s/articleView?id=analytics.tua_workspace_asset.htm&type=5). Assets are the ‘pieces’ used in analytics, starting with data, which is enriched with semantics, then analysed with vizzes and metrics and finally presented in dashboards. Types of assets and where they're created and located: - **[Data](https://help.salesforce.com/s/articleView?id=analytics.tua_data_add.htm&type=5)** is always a Data 360 object: a DMO, DLO, CIO or CSV stored as a DLO. For more information, see [Essential data terms and concepts](https://help.tableau.com/current/tableau-next/en-gb/tableau_next_sf_datacloud_terms.htm#data-terms-essentials). - **[Semantic models](https://help.salesforce.com/s/articleView?id=analytics.semantics.htm&type=5)** can be created in Data 360 or Tableau Next. They are created with the Semantic Model Builder. - **[Metrics](https://help.salesforce.com/s/articleView?id=analytics.tua_data_sdm_about_metrics.htm&type=5)** are created from a semantic model, either in Data 360 or Tableau Next. - **[Vizzes](https://help.salesforce.com/s/articleView?id=analytics.tua_create_viz.htm&type=5)** are created in Tableau Next. Vizzes are created with the Visualisation Builder. - **[Dashboards](https://help.salesforce.com/s/articleView?id=analytics.tua_create_dashboard.htm&type=5)** are created in Tableau Next. Dashboards are created with the Dashboard Builder. ![](/tableau/current/en-gb/tableau-next/en-gb/Img/tab_next_data.png) Analysis isn't useful until it's seen and acted on. [Sharing and embedding](https://help.salesforce.com/s/articleView?id=analytics.tua_embed.htm&type=5) Tableau Next assets happens in the flow of work, including in [Slack](https://help.salesforce.com/s/articleView?id=analytics.tua_metric_slack_share.htm). And with [Agentforce](https://help.salesforce.com/s/articleView?id=analytics.tua_metric_questions.htm&type=5) baked in, an agent helping you create or consume analysis is at your fingertips. ## Workspaces to organise, build and share your analytic assets Workspaces can contain these assets directly or contain references to an asset. Assets can be located in the workspace itself, in another workspace, or in Data 360. A reference to an asset is a link to an asset that is located outside the workspace. The list of assets in a workspace is a list of possible pieces that can be used together for an analysis. ![a workspace showing the various asset types](/tableau/current/en-gb/tableau-next/en-gb/Img/tableau_next_workspace.png) As a general rule, create a new workspace whenever you're working on a discrete project that needs its own collection of assets. If the same assets are needed for related analysis, the same workspace can be used. When the analysis question is different – even if some of the same assets might be relevant – it can be useful to make a different workspace. Assets must live in a single workspace. They can be used across multiple workspaces by adding a reference to an existing asset. The asset isn't copied into the other workspace when it's added as a reference; it's simply bookmarked there for easy access. ## Types of assets in workspaces **Data** can be in Data 360 or may be external and referenced by a Data 360 object. A Tableau Next workspace simply holds the connection information to the data. - Tableau Next can connect to DMOs (data model objects), DLOs (data lake objects) and CIOs (calculated insight objects) from Data 360. - A CSV file can be connected to a Tableau Next workspace and the data uploaded and stored in Data 360 as a DLO. For a deeper dive into data in the context of Tableau and Tableau Next, see [Essential data terms and concepts](https://help.tableau.com/current/tableau-next/en-gb/tableau_next_sf_datacloud_terms.htm#data-terms-essentials). **Semantic models** form the semantic layer and consist of a data model (which DMOs to use and how they relate to each other) and business definitions on the data (field names, aggregations, calculations and so on). At the core, semantics add meaning by providing context to the raw data. Semantic models are built using the Semantic Model Builder, which is found in Tableau Next and Data 360. The technology that powers the semantic models is Tableau Semantics, which also controls the queries necessary for analytics. For a close look into semantic models in the context of Tableau and Tableau Next, see [Essentials of data semantics](https://help.tableau.com/current/tableau-next/en-gb/tableau_next_sf_datacloud_terms.htm#semantics-essentials). **Metrics** are built on semantic models in Tableau Next or [Data 360](https://help.salesforce.com/s/articleView?id=analytics.c360_a_sl_metrics_create.htm&type=5) and are a streamlined way to track changes to a measure over time. Metrics can be grouped and filtered by different dimensions. Unlike vizzes, metrics have a consistent format to provide at-a-glance insights into key data trends. **Vizzes** are the units of analysis. A viz is a single chart or graph, built with a drag and drop Visualisation Builder. For example, these can be bar charts, line graphs or scatter plots. **Dashboards** can contain metrics from Tableau Next or Data 360, vizzes from Tableau Next and dashboard-specific widgets such as text, filters and buttons. Dashboards can also pull in actions that are driven by Salesforce Flows. Because you can format a dashboard and add more context than you can with a viz, most analytics consumed by business users should be dashboards rather than vizzes. ## Work with Tableau Next ### Your data and semantics where you are As [Tableau Next and Tableau](https://help.tableau.com/current/online/en-gb/tableau_next_tableau_product_overview.htm) continue to build stronger integrations, we’re adding the ability to do analysis where you want regardless of where your data lives. Why would you have data in one place and want to do analysis in another? You might want to do analysis in an environment that is distinct from where your data is for any number of reasons: - You want to work in a more familiar environment. - You need to use functionality only available in a specific platform. - You want to do the analysis where your consumers are. ### Interoperability Tableau Cloud, Tableau Server and Tableau Desktop have a [Tableau Semantics connector](https://help.tableau.com/current/pro/desktop/en-gb/examples_tableau_semantics.htm) for accessing and using semantic models from Tableau Semantics. Tableau Next has the ability to create a [semantic model from a published data source (PDS)](https://help.salesforce.com/s/articleView?id=analytics.c360_a_sl_data_models_create_from_pds.htm&type=5) in a Tableau Cloud site. - **Note**: To create a semantic model from a published data source, there needs to be a link between the Salesforce user and a Tableau Cloud user. See [Set Up Trust Between Salesforce and Tableau](https://help.salesforce.com/s/articleView?id=analytics.c360_a_sl_data_models_pds_trust.htm&type=5) in the Salesforce Help for more information. ### Agentforce for Analytics Agentforce is an integral part of Tableau Next. With [Agentforce Tableau](https://help.salesforce.com/s/articleView?id=analytics.tua_metric_analytics_qa.htm&type=5), you can turn data into insights faster with Data Pro, Concierge and Inspector. ### Tableau Next setup for the site admin Tableau Next is deeply integrated with Data 360. Getting analysts and analytics consumers into Tableau Next involves several steps: 1. Set up Data 360 for Tableau Next 2. Set up Tableau Semantics 3. Create the Tableau Next admin 4. Enable Tableau Next 5. Assign a user the Tableau Next permission set For more information, see [Admin: Set Up Tableau Next](https://help.salesforce.com/s/articleView?id=analytics.tua_admin.htm&type=5) in the Tableau Next Help or the [Tableau Next Setup Guide](https://help.tableau.com/current/tableau-next/en-gb/tableau_next_setup_guide.htm) in the Tableau Help.