This paper addresses the challenge of siloed enterprise data preventing actionable insight. It proposes a four-step framework: unify data with a semantic layer, deploy out-of-the-box analytics apps, deliver insights in the flow of work, and customize through interoperable, API-driven platforms. Built on agentic analytics principles, Tableau Next integrates unified data, business context, and AI agents to provide proactive recommendations and automated actions. By embedding insights directly into workflows and leveraging prebuilt semantic models, organizations can shift from reactive reporting to intelligent, data-driven execution at scale.

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