Nobody likes writing documentation. In Power BI projects, it's almost always the first thing cut when deadlines get tight. The result? Reports that work perfectly — until the person who built them leaves the team.
Then you're left reverse-engineering 200 DAX measures, guessing which tables are actually used, and wondering why there's a hidden page called "DO NOT DELETE."
Automated documentation changes this.
The hidden cost of undocumented reports
A Power BI report isn't just visuals on a page. Under the surface, there's a semantic model with:
- Tables with dozens of columns (some calculated, some from source)
- Relationships with specific cardinality and cross-filter direction
- Measures — often 50-200 in a mature report — with complex DAX logic
- Calculated columns and calculated tables
- Row-level security roles
- Hierarchies and field parameters
- Bookmarks, drillthrough pages, and page-level filters
When someone new inherits a report, they need to understand all of this to make safe changes. Without documentation, they either spend days reading DAX or make changes that silently break downstream calculations.
What automated documentation captures
Dummy BI Automate's Document Report wizard reads your PBIP project folder and generates a comprehensive report covering:
Model structure
- Every table, its source type (import, DirectQuery, calculated), and row count
- Every column with data type, source column, and whether it's used in any visual
- Every relationship with the tables, columns, cardinality, and cross-filter direction
DAX inventory
- Every measure with its full DAX expression, formatted for readability
- Dependency chains: which measures reference which other measures
- Unused measures — defined but never placed on any visual or referenced by another measure
Visual layer
- Every page with its dimensions and visibility status
- Every visual with its type, the fields it uses, and any visual-level filters
- Bookmarks and their captured state
- Drillthrough pages and their filter fields
Health indicators
- Measures that are defined but never used (cleanup candidates)
- Columns that exist in the model but appear on no visual and in no DAX (import bloat)
- Relationships that may be redundant or misconfigured
Why this matters for consulting teams
If you deliver Power BI reports to clients, documentation is a deliverable — or at least it should be. But building documentation manually for a 30-page report with 150 measures is a full day of work.
Automatic generation turns that into a 30-second operation. Run the wizard, get the output, include it in your delivery package. Your client has a complete reference for their report, and your team has a record of what was built.
The maintenance angle
Documentation isn't just for handover. It's for maintenance. Three months from now, when you need to add a new KPI to a report you built, you'll want to know:
- What's the naming convention for measures in this report?
- Which tables drive the executive summary page?
- Are there any existing measures that calculate what I need?
Auto-generated docs answer these questions instantly. No need to reopen Power BI Desktop and click through every visual.
Getting started
- Open your report in PBIP format
- Launch Dummy BI Automate
- Select "Document Report"
- Choose your project folder
- Generate — and get a structured breakdown of your entire report
The output is designed to be readable by both technical and non-technical stakeholders. Share it with your client, keep it in your project repository, or use it as a baseline for change tracking over time.
Documentation isn't glamorous. But it's the difference between a professional delivery and a ticking time bomb.