AI and Data Usage in Tableau Next

As a Tableau Next customer, it’s important for you to know what data is being used in the features where you’ve enabled AI.

Required Editions

View supported editions.

This table lists both the Customer Data, which is data submitted by the Customer to our services as defined in our Main Services Agreement (MSA), and the usage data, which is data relating to users’ interactions with Tableau Next.

Data submitted to a feature with AI in Tableau Next enabled may be used to improve your services and features or to develop new features that you can access without additional cost.

Note
Note The features in this list do not use global models, which are models that look for aggregated, anonymous trends across multiple Tableau Next Customers.
Product Subagent Data Used Generative AI Model Used
Tableau Next with the Analytics and Visualization template Data Analysis

Customer Data: Actual data, numeric and textual values

GPT
Tableau Next with the Semantic Modeling template Semantic Model Management

Customer Data: None

Sample Data: Randomly selected values used to give examples to an LLM of the types of possible answers, relevant only for textual values. For example, City = NY, LA, TLV

GPT
Tableau Next with the Analytics and Visualization template Data Alert Management

Customer Data: Actual data, numeric and textual values

Sample Data: Randomly selected values used to give examples to an LLM of the types of possible answers, relevant only for textual values. For example, City = NY, LA, TLV

GPT
Tableau Next with the Analytics Authoring (Beta) template

Analytics Authoring (Beta)

Data 360 Exploration

External Data Exploration

Semantic Data Discovery

Analytics Asset Management

Customer Data: Actual data, numeric and textual values Anthropic; configurable in the Agent Definition Settings for the Default Model.