Unlock the full potential of your data and AI with an intelligent semantic layer seamlessly integrated into Data Cloud, bridging the gap between raw data and meaningful insights with rich business context.
Tableau Semantics is a powerful AI-infused semantic layer integrated into Data Cloud that translates your data into your business language. With an intuitive UI, built-in AI assistance, and agent enrichment capabilities, Tableau Semantics infuses your data with business knowledge, driving more accurate responses and relevant insights.
Centralize your data and metrics in a single, governed layer for seamless analysis and efficiency. Create a reliable source of truth with governed, reusable models and metrics, enabling self-serve analytics while ensuring data integrity.
Balance agility and data integrity by defining your models once and using them everywhere. Seamlessly extend models, streamline collaboration with certification workflows, and leverage governance tools to manage lineage and access controls.
Effortlessly manage all organizational metrics from a single source of truth with a centralized view across semantic models. Set goals, trigger actions, and leverage AI-powered insights to dedupe, clean, and maintain metrics.
Easily import your Tableau Published Data Sources into Tableau Semantics without having to migrate existing data or semantic models.
Connect Tableau Cloud, Server, and Desktop to Tableau Semantics for deep analysis of your semantic models, ensuring seamless interoperability.
Build, reuse, and extend semantic models faster with AI-powered features. Get guided assistance throughout modeling and accelerate your path to meaningful insights.
Enhance efficiency with automated suggestions for relationships and joins across existing and new data objects, while intuitively joining data objects using natural language.
Effortlessly create calculated fields, formulas, and filters using natural language. AI-powered suggestions help identify existing fields before creating new ones, minimizing duplication and maintaining data quality.
Create semantic data models in seconds using natural language. Instantly extract relevant data entities without setup, and extend your model using AI-powered features - all without modifying the original structure.
Get accurate responses and relevant insights with trusted, context-rich data, while continuously expanding agent knowledge to enable deeper understanding of your business, intent, and nuances.
Enable semantic learning and expand agent knowledge through real-time Q&A, while efficiently managing business preferences and existing knowledge in a centralized repository.
Unlock trusted conversational analytics by translating natural language questions into semantic queries, delivering accurate responses that include text, visualizations, explanations, and actionable insights.
Easily interact with data using plain language—no complex queries required. Simplify data analysis, boost accessibility across your organization, and ensure accurate responses grounded in your business’s data.
Integrated within the Salesforce ecosystem, Tableau Semantics creates a single source of truth, reducing conflicting interpretations to enhance collaboration, advance AI, and drive richer insights.
Moritz SchiederGlobal Tableau and Salesforce Analytics Lead, Deloitte
Tableau Semantics enriches analytics and agentic experiences with critical business context, ensuring agents and analytics operate from a single, unified source of truth for KPIs and metrics across the organization.
Dave DixonDirector, Global Salesforce, Tableau, Slalom
Tableau Semantics is the key to unlocking and powering our data, fueling embedded metrics, insights, and Agentforce with our business context. Through its integration with Data Cloud, it transforms our unified data into actionable insights, driving smarter decisions and more accurate agents.
Greg BarlinVP, Salesforce Practices, Atrium
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Tableau Semantics is currently GA to Tableau Next customers as part of the Tableau+ SKU and to Data Cloud customers. It is also available for Intelligent Apps powered by Tableau Next.
A Semantic Model is a structured framework that defines how business data is organized and interpreted for a specific use case. It acts as a container for semantic definitions, bringing together Data Cloud Objects, relationships, calculations, and metadata to create a standardized and business-friendly representation of key terms and metrics. This enables consistent data interpretation, making it easier to generate insights and drive informed decision-making.
You can get Tableau Semantics with Tableau Next as part of the Tableau+ SKU and with Data Cloud.
Tableau Semantics is deeply integrated into Data Cloud and is not available without it.
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