Salesforce Tableau Next
home
Overview
The analytics/tableau-next server exposes Tableau Next's semantic layer and analytics capabilities to AI agents. It provides tools to discover semantic models (SDMs), retrieve dashboard and visualization metadata, explore metrics and KPIs, and execute natural-language analytical questions via the Analytics Agent. This is the bridge between AI agent conversations and the structured analytical layer that Tableau Next maintains over your data.
Key Concept: Semantic Models
Tableau Next's semantic model is the key concept here. An SDM defines the business meaning of your data: how tables relate, what metrics mean, how KPIs are calculated, and what terminology maps to what fields. When an agent queries through this server, it operates at the level of business concepts ("revenue by region," "customer churn rate") rather than raw SQL or object fields. This makes the server particularly effective for analytics use cases where the right answer depends on how metrics are defined by your data team, not just what's in the database.