Tableau Agent in Action: Semantic Layers, Agentic Analytics, and the Future of AI-Driven BI: Tableau Pulse AI features, predictive analytics, ... and connecting Tableau to external LLM APIs - Softcover

Caldwell, Sarah J.; Cross, Daniel ; Holt, Nathan

9798198537101: Tableau Agent in Action: Semantic Layers, Agentic Analytics, and the Future of AI-Driven BI: Tableau Pulse AI features, predictive analytics, ... and connecting Tableau to external LLM APIs

Softcover

ISBN 13: 9798198537101

Publisher: Independently published, 2026

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Business intelligence is entering a new era.

Dashboards alone are no longer enough. Modern enterprises need analytics systems that do more than visualize data — they must understand context, surface insights automatically, explain anomalies, and help users make decisions in real time.

Welcome to the age of Agentic Analytics.

Tableau Agent in Action is the definitive hands-on guide to Tableau’s next-generation AI capabilities, including Tableau Pulse, semantic layers, conversational analytics, natural language querying, and intelligent insight delivery.

Whether you are building enterprise dashboards, implementing semantic models, enabling self-service analytics, or deploying AI-driven insight automation, this guide provides the practical frameworks and technical strategies needed to modernize analytics with Tableau AI.

What You’ll Learn

Tableau Pulse & Proactive Analytics

Learn how Tableau Pulse transforms analytics from reactive dashboards into proactive intelligence delivery systems:

Automated KPI monitoring
AI-generated business insights
Anomaly detection
Trend analysis
Natural language summaries
Personalized metric delivery

Understand how organizations are replacing dashboard overload with AI-driven decision support.

Semantic Layers & AI-Ready Data Models

Master the foundations of semantic analytics:

Business-friendly metric definitions
Semantic layer architecture
Data relationships and governance
AI-ready data modeling
Metric standardization
Trusted enterprise analytics

Build scalable analytics systems that AI agents can reason over reliably.

Conversational & Agentic Analytics

Explore modern natural language analytics using:

Ask Data
NLP-powered querying
Conversational BI workflows
Agentic query systems
AI-generated explanations
Intelligent recommendation engines

Learn how users can interact with enterprise data using natural language instead of complex dashboards.

Enterprise AI & Tableau Architecture

Design enterprise-grade Tableau AI systems with:

Tableau Cloud and Server deployment strategies
Security and governance models
Slack and Microsoft Teams integrations
Real-time insight delivery
AI observability and monitoring
Multi-user analytics environments

Perfect for enterprise BI modernization initiatives.

Real-World Analytics Use Cases

Discover practical applications across:

Executive KPI monitoring
Sales performance analytics
Customer intelligence
Operational analytics
Financial reporting
AI-powered business alerts
Enterprise decision intelligence systems

Includes implementation strategies, metric design guidance, and production best practices.

Who This Book Is For

Tableau Developers
BI Engineers
Data Analysts
Analytics Architects
Enterprise Data Teams
AI & Analytics Leaders
Business Intelligence Professionals
Digital Transformation Teams

Whether you are modernizing enterprise analytics, deploying AI-powered BI systems, or preparing for the future of conversational analytics, this book provides the technical depth and practical guidance needed to succeed.

The future of business intelligence is not static dashboards.

It is intelligent, conversational, proactive, and agent-driven.

This book shows you how to build it with Tableau.

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