Salesforce, Inc., the world's largest customer relationship management (CRM) software corporations, said on the 20th that its intelligent data analytics platform Tableau has begun supporting decision-making within organizations and even follow-up task execution based on artificial intelligence (AI) agents.
At the keynote of DataFam Seoul 2026 held on the 20th at the Grand Intercontinental Seoul Parnas in Samseong-dong, Seoul, Matthew Miller, vice president of global Tableau product management at Salesforce, Inc.'s institutional sector, said, "Tableau is evolving beyond simply deriving insights through analytics into an 'Agentic Analytics' platform that consolidations data into actual business outcomes," and stated accordingly.
Salesforce, Inc. said Tableau's knowledge engine and decision engine underpin this shift. The knowledge engine supports AI in providing more accurate answers and insights based on a corporations's data and business context, while the decision engine helps actual judgments and actions by AI agents on that basis.
In addition, Tableau's "semantic layer" helps AI agents understand the meaning and context of each dataset tailored to the industry and business characteristics of the corporations, contributing to higher AI reliability and accuracy.
At the event, Tableau adoption cases from major domestic corporations such as Olive Young, LG CNS, Toss Bank, Krafton, and Baropharm were also shared. Olive Young introduced a case of building a frontline-driven data utilization culture based on self-service analytics and developing it into an AI data agent based on the Tableau Model Context Protocol (MCP). LG CNS built an analytics environment that supports data-driven decision-making by integrating purchasing data, enterprise resource planning (ERP), and internal and external data.
Salesforce, Inc. demonstrated on site the entire process from data preparation to analysis and dashboard building in natural language using Tableau Agents. It also introduced an Agentic Analytics workflow that connects analysis to execution by consolidations Tableau MCP with external large language models (LLMs) and AI agents, including Anthropic's "Claude Code."
Kim Young-gyun, head of the Tableau business at Salesforce, Inc. Korea, said, "The more AI enables anyone to quickly analyze data and get answers, the more a corporations's competitiveness will not come simply from holding more data or performing more sophisticated analysis," adding, "The new standard for data capability will be how quickly and accurately insights are connected to execution based on trustworthy data and a clear business context."
Further, "The role of Agentic Analytics is now expanding beyond simply showing the status of the past to proposing the next actions and supporting actual task execution."
DataFam Seoul is Tableau's flagship annual event that shares the latest data analytics trends and real-world use cases. This year, it was held under the theme "Beyond Agentic Analytics, into action," and was attended by about 1,000 industry employees and data experts.