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Tableau Semantics

Unlock the full potential of your data and AI with an intelligent semantic layer seamlessly integrated into Data 360, bridging the gap between raw data and meaningful insights with rich business context.

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Unleash the power of your data and AI with business knowledge

Tableau Semantics is a powerful AI-infused semantic layer integrated into Data 360 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.

Unify and Scale Trusted Data

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.

Composable Data Models

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.

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Metrics

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.

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Tableau Published Data Sources

Easily import your Tableau Published Data Sources into Tableau Semantics without having to migrate existing data or semantic models.

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Tableau Semantics Connector

Connect Tableau Cloud, Server, and Desktop to Tableau Semantics for deep analysis of your semantic models, ensuring seamless interoperability.

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Accelerate Time to Insight

Build, reuse, and extend semantic models faster with AI-powered features. Get guided assistance throughout modeling and accelerate your path to meaningful insights.

Relationship Suggestions

Enhance efficiency with automated suggestions for relationships and joins across existing and new data objects, while intuitively joining data objects using natural language.

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Auto-Calculated Fields

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.

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Auto-Generated Semantic Models

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.

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Enrich Agents with Business Context

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.

Semantic Learning

Enable semantic learning and expand agent knowledge through real-time Q&A, while efficiently managing business preferences and existing knowledge in a centralized repository.

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Conversational Analytics

Unlock trusted conversational analytics by translating natural language questions into semantic queries, delivering accurate responses that include text, visualizations, explanations, and actionable insights.

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Natural Language to Semantic Query

Easily interact with data using plain languageno complex queries required. Simplify data analysis, boost accessibility across your organization, and ensure accurate responses grounded in your businesss data.

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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 Schieder
Global Tableau and Salesforce Analytics Lead, Deloitte
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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 Dixon
Director, Global Salesforce, Tableau, Slalom
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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 360, it transforms our unified data into actionable insights, driving smarter decisions and more accurate agents.

Greg Barlin
VP, Salesforce Practices, Atrium
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Webinar

The Context Gap: Why Accurate AI Needs a Semantic Layer

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Blog

The First Unified Business Logic Foundation for AI and BI

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Powering Decisions, Driving Actions [Powering Decisions, Driving Actions]
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Tableau Semantics FAQ

  • Semantic Layer
  • How to buy

When will Tableau Semantics be GA?

Tableau Semantics is currently GA to Tableau Next customers as part of the Tableau+ SKU and to Data 360 customers. It is also available for Intelligent Apps powered by Tableau Next.

What is a Semantic Model?

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 360 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.

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