{"id":22112,"date":"2026-03-23T13:59:05","date_gmt":"2026-03-23T12:59:05","guid":{"rendered":"https:\/\/www.pkf-attest.es\/tecnologia\/novedades-itc\/tableau-next-agentic-analytics-analitica-ia-2\/"},"modified":"2026-09-15T09:59:25","modified_gmt":"2026-09-15T07:59:25","slug":"tableau-next-agentic-analytics-analitica-ia","status":"publish","type":"novedades-itc","link":"https:\/\/www.pkf-attest.es\/tecnologia\/en\/novedades-itc\/tableau-next-agentic-analytics-analitica-ia\/","title":{"rendered":"Tableau Next and Agentic Analytics: The New Era of AI-Powered Analytics"},"content":{"rendered":"\n
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Organizations are generating more and more data, but turning that information into actionable decisions remains one of the biggest challenges facing businesses. Against this backdrop, Salesforce and Tableau have unveiled their vision for the future of business intelligence<\/em>, shaped by generative artificial intelligence and a new approach called Agentic Analytics<\/em><\/strong>, with Tableau Next<\/strong> at its core.<\/p>\n\n\n\n

This roadmap, presented during the Salesforce Analytics & Tableau FY27 Partner Kick Off<\/em><\/strong>, anticipates a significant shift in how companies interact with their data: less reliance on static dashboards and more analytics integrated directly into work processes.<\/p>\n\n\n\n

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What is Agentic Analytics<\/em>?<\/strong><\/h2>\n\n\n\n

Agentic Analytics<\/em> is an advanced analytics approach powered by artificial intelligence that goes beyond traditional data visualization. Rather than simply displaying information on dashboards<\/em>, this model enables analytics to act proactively<\/strong>, interpreting the user\u2019s context and offering real-time recommendations.<\/p>\n\n\n\n

The goal is to enable business users to interact with data in a natural way and gain relevant insights <\/em>without relying on complex queries or specialized technical teams.<\/p>\n\n\n\n

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What is Tableau Next?<\/strong><\/h2>\n\n\n\n

Tableau Next represents Tableau\u2019s<\/a> evolution toward a more integrated, context-aware, and AI-powered analytics platform. This new generation of the tool is designed to bring analytics into the user\u2019s actual workflow, combining visualization, conversational analytics, and automated insights <\/em>.<\/p>\n\n\n\n

Its approach moves away from the traditional model of post-analysis to integrate directly into operational processes, particularly within the Salesforce<\/a> ecosystem.<\/p>\n\n\n\n

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Tableau Next and Salesforce’s Commitment to Agent-Based Analytics<\/strong><\/h2>\n\n\n\n

The strategy unveiled by Salesforce reinforces its commitment to AI applied to data<\/a><\/strong>, establishing a new category within the business analytics market: Agentic Analytics<\/em><\/strong>. This approach aims to ensure that analytics is not an isolated element, but rather an active \u201cassistant\u201d that supports the user in daily decision-making.<\/p>\n\n\n\n

The main idea is clear: every business user should be able to access analytics, recommendations, and insights without <\/em>needing advanced technical knowledge or having to leave their usual work environment.<\/p>\n\n\n\n

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Tableau Next vs. Traditional Tableau<\/strong><\/h2>\n\n\n\n

The arrival of Tableau Next does not mean that traditional Tableau will be replaced immediately, but rather a gradual shift in the approach to analytics.<\/p>\n\n\n\n

While Tableau Classic focuses primarily on dashboards and exploratory analysis, Tableau Next introduces a more automated and context-driven model:<\/p>\n\n\n\n