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Tableau AI Generation · Open Source

AI generates Tableau files,
humans ship dashboards faster

Describe what you need in plain language. cwtwb generates .twb dashboards, cwprep generates .tfl data flows — so BI teams can accelerate dashboard development, formatting, layout work, and Prep flow delivery without starting from a blank canvas.

Openable .twb/.twbx and .tfl/.tflx files
Built for BI teams, consultants, and data teams
Use Claude, ChatGPT, Gemini, DeepSeek, or your own MCP-compatible model
Book a Demo & Trial
Share your Tableau scenario. We will assess whether cwtwb/cwprep can accelerate the dashboard or Prep workflow and suggest a practical pilot path.

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Built for the people who still own Tableau delivery

Datacooper does not replace BI teams. It removes the repetitive file-building work around dashboards and Prep flows, so specialists can focus on requirements, analysis, review, and client delivery.

Tableau consulting teams
Turn repeatable client dashboard requests into reusable generation workflows, then spend more time on analysis and stakeholder review.
Enterprise BI teams
Accelerate internal dashboard packs, style changes, layout adjustments, and data source migration without asking senior Tableau builders to redo the same work.
Data and governance teams
Generate Tableau Prep flows with SQL visibility, local execution options, and a clearer path for audit and handoff.

Where Datacooper creates leverage first

Start with high-friction Tableau work where human judgment matters, but the mechanical file-building work should be automated.

Bulk dashboard generation
Create dashboard variants for regions, stores, clients, or departments while preserving a consistent workbook structure.
Fast formatting and layout
Apply consistent sizing, containers, chart positioning, brand colors, labels, and layout rules from repeatable instructions.
Workbook migration and reuse
Update existing TWB/TWBX workbooks when fields or data sources change instead of rebuilding dashboards from scratch.
Prep flow generation and review
Describe cleaning steps in text, generate Tableau Prep files, and review transformation logic through SQL-oriented output.
Read the scenario playbook

Proof first, then a focused pilot

Start from one repeatable Tableau workflow, review the generated files, and decide what should become automation.

AI-generated Tableau dashboard automation example from cwtwb
Dashboard Generation

200 custom dashboards built automatically — each one opened straight in Tableau

A retail group needed 200 custom dashboards fast. Using cwtwb's guided flow, they described what each dashboard should show, confirmed the layout, and generated .twbx files ready to publish. Delivery cost dropped 80%.

AI-generated Tableau Prep data flow example from cwprep
Data Pipeline

Built an entire data cleaning pipeline from prompts — no GUI required

A finance team replaced their manual Tableau Prep work with cwprep. They described the cleaning steps in text, got .tflx files that opened directly in Tableau Prep, and had a full SQL audit trail for compliance review.

What a pilot can look like
For consulting and enterprise teams, the first conversation should answer whether your Tableau workflow is a good automation candidate.
  1. 1Share one dashboard or Prep flow scenario.
  2. 2Confirm data source, layout, formatting, and review constraints.
  3. 3Generate a sample workbook or flow package for Tableau review.
  4. 4Decide what should stay human-led and what should become repeatable automation.

Core Capabilities

Have a repeatable Tableau workflow?
Share one dashboard or Prep flow scenario. We will help you judge whether Datacooper is a good automation fit.