Tableau Next From Data to Metrics
In this demo, learn how to bring data into Tableau Next, build semantic models, and create calculated fields and metrics to power dynamic, AI-enhanced dashboards, all in one platform.
23 min

From Data to Metrics with Tableau Next: A Full Walkthrough
In this in-depth demo, Robbin Vernooij, Data School Coach at The Information Lab, walks through how to use Tableau Next to build powerful, scalable dashboards—starting with raw data and ending with dynamic, metric-driven insights
You’ll learn how to:
- Connect to data from Salesforce Data Cloud and external sources
- Build and manage semantic models
- Use Einstein (Tableau’s AI assistant) to draft calculated fields and perform advanced analytics, including LoD calculations and revenue tracking
- Create visualizations and dashboards directly from semantic models
- Set up reusable metrics and use AgentForce to explore data using natural language
- Understand how metrics, insights, and semantic models work together across the Tableau ecosystem
Whether you're a Tableau user or data leader exploring what’s possible with Tableau Next, this video shows how to move beyond static dashboards and start working with intelligent, integrated data experiences.
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Over the past 5 years my team has developed analytical insights which have generated multi
million dollar savings of which a considerable amount can be attributed to the Data School
consultants we have had working on projects.
Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL