--- schema_version: "1" id: cdbe6a8612c186a8001ab2516144c94598ed8bd3b8e2b2b48d60290264110cc6 title: "Data to Decisions: Data 360 and Tableau Next" collection: admin version: current locale: en-us portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_datacloud_tableaunext.md canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_datacloud_tableaunext.htm&release=264.0.0&type=5 source_site: help.salesforce.com content_type: documentation content_hash: a8bb3ad36933dcc39bf53d1cd5846406e7a4764dca0335dc936e81283ae2932b description: Tableau Next, Tableau Semantics, and Data 360 work together as a connected ecosystem to unlock the value of your data. With all three natively built into Salesforce and integrated with Agentforce, any team can discover analytical insights to make strategic decisions quickly. products: - Data 360 release: "264" --- # Data to Decisions: Data 360 and Tableau Next Tableau Next, Tableau Semantics, and Data 360 work together as a connected ecosystem to unlock the value of your data. With all three natively built into Salesforce and integrated with Agentforce, any team can discover analytical insights to make strategic decisions quickly. ## Analysis and insights on a unified data layer Tableau Next uses Data 360 to create a unified and secure data layer. Data 360 ingests, unifies, and harmonizes both structured and unstructured data from different sources into a single source of truth. Its federated, zero-copy architecture allows for real-time queries of massive datasets without moving anything. Plus, Salesforce’s continued commitment to trust and privacy provides a trusted and secure and compliant foundation. ## Add business context with Tableau Semantics Tableau Semantics is the AI-infused semantic layer that runs on top of Data 360's data sources and serves as a single source of truth for Tableau Next, AI, and other data consumption layers across Salesforce. With Tableau Semantics, you can add business context and metrics in semantic models, which provide a consistent way to interpret data across Salesforce with familiar business terms and consistent definitions. Built-in AI assistance and agent enrichment capabilities drive more accurate responses and relevant insights. For information about creating and managing semantic models, including the C360 Semantic Model, see [Tableau Semantics](https://help.salesforce.com/s/articleView?id=analytics.semantics.htm&language=en_US). ## Analyze and consume with Tableau Next Tableau Next is a composable, AI-analytics experience that uses the well-structured, contextualized data created in Data 360 and Tableau Semantics. Grounded in those trusted data layers and semantic models, Tableau Next lets you build powerful visualizations and ask questions about your data with conversational AI agents for analytics. These natural language prompts are translated into semantic queries, which result in accurate answers, actionable insights, and rich visualizations. With Tableau Next, you can bring those insights into the flow of work to take direct action within Salesforce or an integrated application like Slack. ## Resources Learn more about using data in Tableau Semantics and Tableau Next.

JOB	Resource
Get Started	Introducing Tableau Next Learn Tableau Next with Trailhead Tableau Next Overview
Prepare Data and Manage Tableau Next	Connect Data in Data 360 Prepare Your Data for AI Set Up Data 360 for Tableau Next Set Up Tableau Next
Connect Data and Build Models	Add Data to a Tableau Next Workspace Create Semantic Models and Define Metrics Learn Tableau Semantics with Trailhead
Set up a Workspace and Create Analytical Assets	Analyze Data in a Tableau Next Workspace Build Insightful Visualizations in Tableau Next Create Effective Dashboards in Tableau Next
Share and Use Tableau Next Insights	Manage Access to Assets in Tableau Next Bring Insights in the Flow of Work Ask Questions with Concierge: Analytics Q&A Create Goals with Tableau Next