From Seeing Data to Acting on Data: Salesforce Tableau Pushes into 'Agentic Analytics'
IT DAILY ·
✦ AI Summary
Salesforce said it will expand Tableau from self-service analytics centered on data visualization into 'Agentic Analytics,' in which AI agents understand business context and help execute work.
On the 20th, Salesforce held 'DataFam Seoul 2026' at the Grand InterContinental Seoul Parnas in Samseong-dong, Seoul, and unveiled Tableau's next-generation strategy and architecture.
Its core strategies were the 'Knowledge Engine,' which integrates distributed data, and the 'Decision Engine,' which works with Tableau Pulse and Slack to support anomaly detection and immediate action.
Salesforce has begun its shift to 'Agentic Analytics,' outlining a strategy to expand Tableau, its intelligent data analytics platform, beyond traditional self-service analytics centered on data visualization and toward a model in which AI agents understand business context and support actual work execution.
On the 20th, Salesforce held its annual data conference, 'DataFam Seoul 2026,' at the Grand InterContinental Seoul Parnas in Samseong-dong, Seoul, and unveiled Tableau's next-generation strategy and architecture for the AI era.
At the event, Matthew Miller, Salesforce vice president, took the stage to present. A photo of Miller speaking was also featured. The photo was taken by Kwon Young-seok.
Matthew Miller explained that data and analytics have limits if they cannot lead to concrete human decisions and actions based on business context and organizational understanding. He also stressed that technology's role is not to replace people, but to serve as an accelerator that helps maximize thinking and insight.
He said Tableau has moved beyond the stage of static dashboards used simply to display data. He added that Tableau is evolving into an end-to-end agentic platform that can identify root causes and take immediate action with AI at every work touchpoint.
In line with that, Salesforce presented two core strategic pillars unveiled that day: the 'Knowledge Engine' and the 'Decision Engine.' The goal of this strategy is to build an integrated enterprise environment that supports everything from data analysis to follow-up actions.
The Knowledge Engine works by integrating information scattered across ERP, databases, internal rules, and unstructured documents, then building a single 'Semantic Model.' It also aims to prevent Hallucination by transparently showing the data sources used for AI analysis. The Decision Engine connects with Tableau Pulse, Slack and others to help detect anomalies in the field even when a separate BI dashboard is not open, and to support immediate execution after an anomaly is detected.
Salesforce also adopted the Model Context Protocol, or MCP, standard. It is intended to support connections between the 'All New Tableau Agent' and external LLMs and business applications, enabling an organic link with Claude and ChatGPT, among others.
The photo shows Kim Young-gyun, head of business operations at Salesforce Korea, speaking at the event. The photo was taken by Kwon Young-seok.
To ease the cost burden of enterprise AI adoption, Salesforce added Tableau Agent capabilities to 'Tableau Cloud+.' Tableau Agent is provided by default with Unlimited Token pricing with no additional token charges, and Salesforce also supports a Capacity Pricing model based on data volume to give companies more choice.
Kim Young-gyun said AI is expanding the possibility for anyone to quickly analyze data and get answers. He added that the source of a company's competitiveness is not simply how much data it holds, but trustworthy data and a clear business context. He also said that connecting insights to fast and accurate execution is the new standard for data capabilities.
He explained that the functional scope of Agentic Analytics is expanding beyond the stage of suggesting next actions to one that supports actual work execution, and said Salesforce aims to help domestic companies link AI transformation to tangible business results.
Source: IT DAILY · Kwon Young-seok
Original: https://www.itdaily.kr/news/articleView.html?idxno=241113
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Source: IT DAILY
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