Visualize 1,000 Clashes in 3 Seconds: Navisworks + Python + Power BI

🌐 Official website: https://www.clemarstudio.com/ 🎁 GitHub: https://github.com/clemarstudio/YouTu... 💡 *No coding experience? No problem!* If you are still sending out 1,000-page PDF clash reports, stop. Nobody reads them. Today, I show you how to build a "Clash Data Engine" that turns raw, messy Navisworks XML exports into a professional, decision-ready Power BI Dashboard. We aren't just counting clashes; we are refining the data using Python to fix the sorting, rank the severity, and visualize the actual impact of every collision. Whether you want to build the Python script yourself or just grab the "Done-For-You" tool, this video covers the entire workflow. 🚀 Get the "Done-For-You" Tool (No Coding Required): Download the Clash Data Refiner (Standalone App): https://www.clemarstudio.com/ (Includes the compiled .exe, the Power BI Template, and the User Guide) 📂 Get the Source Code: Grab the Python script and raw template on GitHub: https://github.com/sbpang/Clemar_Stud... 💡 What You Will Learn: • The "Data Engine" Workflow: How to use Python to clean Navisworks XML data before it hits Power BI. • Physics-Based Sorting: How to use Z-Coordinates to sort your dashboard levels physically (B1 → GF → L1) instead of alphabetically. • Critical Impact Ranking: How to calculate "Clash Weight" (Overlap Distance) to identify the Top 10 worst clashes per floor. • Smart Categorization: How to automatically group thousands of messy Revit family names into clean dashboard categories (Ducts, Pipes, Beams). ⏱️ Timestamps: 0:00 – Opening 0:30 – Demo 1:18 – Deep Dive 1: The Interface 2:34 – Deep Dive 2: The Brain 4:04 – Deep Dive 3: The Crawler 6:09 – Deep Dive 4: The Safety Net 6:35 – Deep Dive 5: The Dashboard 7:29 – The "Top 10" Ranking (The Value) 7:57 – Conclusion #Navisworks #PowerBI #BIMManager #PythonForBIM #ClashDetection #DataVisualization #ClemarStudio #Python Don’t forget to: ✔️ Like this video if it saved you time. ✔️ Subscribe for more Revit automation tools. ✔️ Comment below: What boring task should we kill next? Let's build smarter, not harder! I am Clement. See you in the next video! 👋