Turn questions into results. See how Agentforce and Tableau MCP bridge the gap between governed metrics and Salesforce workflows to move from “What happened?” to “What’s next?” — automatically.
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Community Speaker
Reserved Seating
Video On Demand
From Questions to Actions: Agentforce and Tableau MCP
, Distinguished Specialist Solution Engineer, Salesforce
, Director, Product Management, Salesforce
Role: Architect, Developer
Product: Tableau, Agentforce
Tableau Product: Developer Platform
Session Level: Intermediate
Session Type: Theater
- Thursday, May 712:30 PM - 12:50 PM PDT(7:30 PM - 7:50 PM GMT)Theater 3 | Data Village, Ground LevelFIRST COME FIRST SEATED
Session Summary: This session explored the integration of Tableau MCP and Salesforce Agentforce, showcasing how these tools enable advanced AI-driven analytics and actionable insights. By leveraging Tableau's published data sources and integrating them with Agentforce, users can query, analyze, and act on data in a seamless and deterministic way, avoiding issues like hallucination and ensuring accuracy. The session highlighted how Agentforce orchestrates workflows, connects with Tableau MCP servers, and uses natural language processing to deliver precise answers and visualizations, enhancing decision-making processes. Furthermore, the session demonstrated how metadata and governance in Tableau ensure secure, contextual, and reliable data handling, while emphasizing the potential for continuous metadata improvement through user feedback and AI automation.
Key Takeaways:
• Tableau MCP, integrated with Salesforce Agentforce, enables users to query and act on curated data sources with deterministic and accurate results, avoiding hallucination issues common in AI systems.
• Agentforce acts as an orchestration layer, allowing users to define agents, connect to Tableau MCP servers, and deliver actionable insights through natural language queries and visualizations.
• Governance and metadata management in Tableau ensure secure and contextually accurate data usage, and the integration supports continuous improvement of metadata through AI and user feedback loops.
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