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  • How to document your Power BI models without writing a single line of code?

How to document your Power BI models without writing a single line of code?

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  • How to document your Power BI models without writing a single line of code?
30 June 2026

How to document your Power BI models without writing a single line of code?

How to document your Power BI models without writing a single line of code?

Anyone who works with Power BI knows this story: the data model keeps growing, new tables show up, new measures get added, new relationships appear… and documentation always gets pushed to ‘later’. A few months pass, and suddenly nobody remembers what that oddly named measure does, or why two tables have a relationship that’s turned off.

Doc4PowerBI was built to fix exactly that. And the best part is that nobody has to write any documentation by hand.

The Idea is simple

Instead of having someone open each model and copy information into a Word doc or an Excel sheet, the idea is to let the models themselves tell you what’s inside them.

Power BI already keeps track of all this: which tables exist, what columns they have, which measures were created, how the tables relate to each other, which objects are calculated, and so on. The only missing piece was a way to extract, organize, and present this information in a readable format.

How It Works, Step by Step

The solution is built on a Fabric notebook backed by a Lakehouse. The notebook handles the extraction logic – querying the model and pulling out its metadata – while the Lakehouse acts as the storage layer, keeping the documented output organized and available for reporting. Reporting itself is delivered through a Power BI template that takes the Lakehouse’s SQL endpoint as a parameter, connecting to the documented metadata with no manual setup.

1) Configure: Define the workspace and the specific models you want to document.

 

 

2) Extract: The notebook uses DAX functions to “interrogate” the model, automatically pulling out tables, columns, measures, and relationships..

 

 

3)Consolidate: All data is saved into a Lakehouse, organized and ready for analysis.

 

 

4) Visualize: Just point the Doc4PowerBI template to your Lakehouse SQL endpoint, and you’re good to go – the report builds itself instantly.

 

 

What’s Inside the Report?

The report has two pages.

Documentation:

A granular breakdown of tables, columns (including data types and descriptions), and measures (with DAX formulas and folder locations). You can filter by model to find exactly what you need in seconds.

 

 

Calculated Objects & Relationships:

Shows how the tables connect to each other through a visual relationship map and lists everything that’s calculated in the model: measures, calculated columns and calculated tables.

 

 

Scalable by Design

The solution is designed to be fully reusable. Tailoring it to a specific client, project, or organization requires nothing more than a change of branding at the report level – the backend components (notebook, Lakehouse, and extraction logic) stay exactly the same.

This separation between presentation and processing means the solution can be rebranded effortlessly, with zero rework on the parts that do the actual work.

 

Why It’s Worth It

Whenever a model changes, you just run the notebook again, and the report updates itself. We’ve eliminated the issue of outdated documentation and the tedious task of opening files one by one to get an overview of a workspace.

For team members joining a project, this is a game changer – all the logic is documented in one place. For those overseeing quality, it provides a clear view of the model with no hidden surprises.

At the end of the day, Doc4PowerBI removes the most tedious – and most forgotten – part of working with Power BI out of the equation: documentation.

Author

Erick Usandivares

Erick Usandivares

Senior Consultant

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