A Tableau Next Consultant is shadowing a client's business analyst who is building a new...

Tableau Next provides generative AI capabilities that translate a user's natural-language description of a calculation into a calculated-field formula. This directly addresses scenarios where an analyst understands the required business logic but lacks familiarity with Tableau Next formula syntax.

With Draft with Einstein, the user describes the calculation they need in natural language. Einstein can propose the field name, description, data type, aggregation type, and formula. The agentic calculated-field experience also supports conversational refinement, allowing the user to explain requirements and respond to clarification questions before reviewing the proposed field.

A batch transform, as described in A, is a data-preparation mechanism and is unrelated to helping an analyst overcome formula-authoring syntax problems. C is less accurate because the defining generative-AI capability being tested is the transformation of natural-language analytical intent into a proposed formula.

The generated output remains subject to user review before creation, preserving human control over the final semantic definition while substantially reducing formula-authoring friction.

References/Topics: Agentic Experiences - > Generative AI - > Draft with Einstein/Data Pro - > Natural-Language Calculated Fields.

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