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.
Dummy BI Automate automates exactly this. See how it works
What automated documentation captures
Dummy BI Automate's Document Report wizard reads your PBIP project folder (or opens a .pbix file directly via a built-in converter) and generates a comprehensive Excel workbook covering 25+ sheets. Key sheets include:
| Sheet | What It Contains | |-------|------------------| | Dataset Summary | Tables, source types, row counts, column counts | | Columns | Every column with data type, source, and usage status | | Relationships | All relationships with cardinality and cross-filter direction | | Measures | Full DAX expressions, formatted for readability | | Measure Dependencies | Which measures reference which — the full dependency tree | | Report Pages | Every page with dimensions, visibility, and visual count | | Visuals | Every visual with type, fields, and visual-level filters | | Filters | Page-level, visual-level, and report-level filters | | Bookmarks | Bookmark names and captured state | | Unused Measures | Measures not referenced by any visual or other measure | | Orphan Columns | Columns not used in any visual, DAX, or relationship |
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.
Documentation as a foundation
The Excel documentation isn't just a standalone deliverable — it's the input for other Dummy BI Automate features. The Impact Explorer reads it to show you the full dependency tree for any measure or column, giving you safe-to-delete verdicts. DevOps Diff compares two documentation snapshots to generate a semantic changelog. Think of documentation as the foundation that makes the rest of the automation ecosystem possible.
Getting started
- Open your PBIP project folder or point the tool at a
.pbixfile - Launch Dummy BI Automate
- Select "Document Report"
- Choose your project folder
- Generate — and get a structured Excel workbook with 25+ sheets covering 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.