TC26 News: Tableau brings agentic analytics to the full portfolio.
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Make better decisions, faster, with agentic analytics.
Amplify the impact of your dashboards and visualizations with faster, smarter insights powered by agentic analytics. See how agentic AI can accelerate the data-to-action workflow to transform how your organization goes from data to decision.
Tableau, the world’s first
agentic analytics platform.
Tableau Desktop
Go from data to action quickly anytime, anywhere — even offline.
Tableau Server
Deploy agentic analytics with full control and flexibility.
Tableau Cloud
Turn data into action with a fully hosted agentic analytics solution.
Tableau Next
Empower every CRM user to turn data into action with agentic analytics.
Say hello to agentic analytics.
Smart and adaptive. Actionable. Always on.
- Faster, cleaner data prep and richer catalog descriptions
- Smarter authoring and deeper dashboard insights into what matters most
- Conversational analytics with trusted business knowledge
- Continuous monitoring, adaptive decisions and accelerated actions
A New Paradigm for Business Intelligence
Tableau CEO Mark Recher shares how Tableau is transforming how businesses turn data into action with agentic analytics.
How Autonomous AI is Revolutionizing Business Intelligence
What data leaders need to know to position themselves and their teams for success with agentic AI for data and analytics.
Unlocking Agentic Analytics: Tableau Next and the Salesforce Platform Advantage
Tableau experts dive into the world’s first agentic analytics platform, natively built on the Salesforce platform.
“My vision is a world where no one has to ask me or my team to build them a Salesforce report anymore. Users can just go into their Slack, into Salesforce, into any system and have that agentic experience and get answers that are grounded in reality.”
– Joshua Stern, Director GTM Systems, Engine
Agentic Analytics FAQ
Agentic analytics empowers humans to work collaboratively with AI agents, transforming data analysis and insight discovery from a manual task to an automated, personalized, and proactive experience.
Agentic analytics represents a significant evolution in the business intelligence (BI) space, moving beyond traditional data analysis and visualization to autonomous, AI agents that augment and accelerate every stage of the journey from data to insights to action. Instead of merely assisting, AI agents go beyond simply presenting information; together with humans, they engage in dynamic, conversational interactions, anticipate user needs, and automate complex analytical workflows, all with people remaining in control.
Agentic analytics is conversational, proactive, action oriented, self learning, and always available.
It provides:
- Conversational analytics grounded in trusted business knowledge.
- Adaptive learning and recommended actions for improved decision making.
- Continuous monitoring and autonomous actions, where applicable, with intelligent agents.
Agentic analytics can help organizations enhance decision making, increase operational efficiency, and improve business outcomes. With agentic analytics, organizations and teams are empowered to:
- Automate data connectivity and preparation.
- Proactively identify patterns and anomalies.
- Generate contextual insights and explanations.
- Automate insight delivery.
- Assist with advanced analysis.
- Enable actionable recommendations.
- Automate actions.
Agentic analytics can democratize data across an organization by giving everyone access to contextual, actionable insights and proactive actions.
- Data: A unified data layer of harmonized, governed data sources — structured and unstructured — that feeds everything above it.
- Knowledge: Semantic models, business definitions, and contextual relationships that give AI agents the business understanding they need to be trusted.
- Insights: AI agents that surface patterns, trends, visualizations, and proactive recommendations — delivering the right information to the right person at the right time.
- Action: Deep integrations with business systems that close the loop from insight to decision to automated, governed action — at scale.
- Transparency and trust: Visibility into how insights and recommendations are generated.
- An open and extensible approach: Discoverable, reusable data components and APIs.
Traditional BI tools served as monolithic data repositories with static visualizations. Agentic analytics accelerates the process of turning knowledge into action, making it possible for every user across the organization to engage in faster insight discovery with the help of AI agents.
Agentic analytics is a fundamentally new approach to BI, one that expands the capabilities of current BI tools by infusing them with the autonomy and adaptability of AI agents. Powered by LLMs and new generation semantic models, these agents can orchestrate tasks autonomously with humans in the loop. Together humans and agents can achieve stated goals, execute multi-step analyses, provide explanations, and even trigger automated actions based on the insights, enabling a level of data-driven decision-making that was previously unattainable.