Move beyond dashboards and traditional BI to fuel faster, smarter insights with agentic analytics. See how agentic AI can accelerate the data-to-action workflow to transform how your organisation goes from data to decision.
Manual, stale reports. Clunky interfaces. Unanswered questions.
Smart and adaptive. Actionable. Always on.
Learn how to turn trusted insights into autonomous action with the world’s first agentic analytics platform.
What data leaders need to know to position themselves and their teams for success with agentic AI for data and analytics. Get the essential read to kick-start your agentic analytics journey.
Tableau President & CEO Ryan Aytay shares how Tableau Next is redefining BI with agentic analytics, transforming how businesses turn data into action.
Tableau experts dive into the world’s first agentic analytics platform, natively built on the Salesforce platform.
Get to know Tableau Next, the agentic analytics platform that turns data into actionable insights wherever you work, in this blog from Tableau’s Chief Product Officer, Southard Jones.
- Siddarth Pawar, Marketing Analytics Director, Workday
Agentic analytics empowers humans to work collaboratively with AI agents, transforming data analysis and insight discovery from a manual task to an automated, personalised and proactive experience.
Agentic analytics represents a significant evolution in the business intelligence (BI) space, moving beyond traditional data analysis and visualisation to autonomous, AI agents that augment and accelerate every stage of the journey from data to insights to action. Instead of merely assisting, AI agents go beyond simply presenting information; together with humans, they engage in dynamic, conversational interactions, anticipate user needs and automate complex analytical workflows, all with people remaining in control.
Traditional BI is manual, time-intensive and complex, defined by disconnected tools and siloed workflows; reactive decisions and slow response times; and heavy reliance on data analysts and institutional knowledge. In contrast, agentic analytics is conversational, proactive, action oriented, self learning and always available.
Unlike traditional BI, agentic analytics provides:
Agentic analytics can help organisations enhance decision making, increase operational efficiency and improve business outcomes. With agentic analytics, organisations and teams are empowered to:
Agentic analytics can democratise data across an organisation by giving everyone access to contextual, actionable insights and proactive actions.
Traditional BI tools served as monolithic data repositories with static visualisations. Agentic analytics accelerates the data to insights to actions journey, making it possible for every user across the organisation to engage in faster insight discovery with the help of AI agents.
Agentic analytics is a fundamentally new approach to BI, one that transcends the limitations of current BI tools by infusing them with the autonomy and adaptability of AI agents. Powered by LLMs and new generation semantic models, these agents can orchestrate tasks autonomously with humans in the loop. Together humans and agents can achieve stated goals, execute multi-step analyses, provide explanations and even trigger automated actions based on the insights, enabling a level of data-driven decision-making that was previously unattainable.