AI-enhanced analytics platform from Salesforce that brings generative AI and natural-language insights to business intelligence
Tableau is a leading analytics platform that has been significantly enhanced with AI capabilities. Through features such as AI in Tableau, Tableau Agent (formerly Copilot), Tableau Pulse and conversational analytics, Tableau empowers both analysts and business users to ask questions in plain language, generate visualisations automatically, and surface proactive insights. Built on the Einstein Trust Layer from Salesforce, it combines AI innovation with enterprise-grade governance, ensuring that data privacy and trust remain central to analytics workflows. Recent releases emphasise multilingual support, AI-driven model generation, and seamless workflow enhancement across both Tableau Cloud and Desktop.
Natural-language conversational analytics: ask questions in plain English and get visualisations, summaries, or next-step suggestions. (e.g., “What are my top regions this year?”)
AI-assisted authoring and analytics: Tableau Agent helps you create visualisations, calculations and data preparation steps using generative AI.
Proactive insight digests: Tableau Pulse delivers personalised insights, detects trends/outliers and shows key story-cards across teams and mobile/slack.
Automated data prep & transformation suggestions: AI features suggest data cleaning, fields and flows inside Tableau Prep and Cloud.
Enterprise-grade trust, governance and security via the Einstein Trust Layer: masking PII, audit trails, and ensuring data isn’t used to train external models.
Business users getting insights without needing deep analytics skills — e.g., ask “What sales product line dropped by region last quarter and why?” and receive visual answer.
Data analysts accelerating work: AI suggests calculations, builds dashboards automatically and frees analysts for strategy rather than manual prep.
Executives receiving digest-style insights across key metrics, with anomaly detection and natural-language summaries delivered into existing workflows.
Organisations embedding AI-powered analytics into business workflows, with governance and trust, enabling non-technical users to act on data confidently.
Reduced manual effort in data preparation and visualisation creation, allowing analysts to focus on higher-value interpretation and strategy.
Broader analytics adoption: non-technical users access data insights via conversational interfaces, reducing reliance on specialised BI teams.
Faster, more informed decision-making thanks to proactive, AI-generated insights and natural-language interactivity.
Improved trust and governance in AI-driven analytics thanks to built-in controls and transparency.
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