
Revit® and IFC validation in seconds | Streamline Data Validation in CAD BIM Projects
30 August 2024
🚀 We are entering the era of BIM Level 3—noBIM.
24 October 2024If you work in hashtag#BIM, you've probably heard BIM experts talk about parameter validation, cost estimation, sustainability analysis, and a dozen other buzzwords. But putting all that fancy terminology aside, what are we really dealing with? 📊
Spoiler alert: it's data analytics! 😎
When your BIM data is organized into granular data like ADSK wants from 2023 or just structured tables (which is in fact already granular data) you will start working only with data analytics, which is already starting to come to the construction industry. Maybe CAD vendors will come up with a new acronym for data analytics in construction - maybe it will be the new DABIM (Data Analytics for Building Information Modeling) or BAD (Building Analytics & Data). But either way, whatever they call it, it will be the usual classic data analytics and data management. In the future, everyone who works with data in the construction industry will be a helmeted data analyst:
▪️ Cost estimating? Picking numbers = data analytics 💰
▪️ Identifying collisions? Identifying the depth of overlap = data analytics 🔧
▪️ Sustainability analysis? Optimizing energy consumption of numbers and ratios = data analytics ♻️
▪️ Construction planning? Schedules and progress tracking = data analytics 🕐
So the next time someone asks what you do in BIM, you can say with, “I turn customer parameters into reality with a little bit of data magic and data analytics!” ✨
Don't waste time start and dive into the topic of data analytics, data analytics today, rather than waiting for ADSK or another vendor to come up with a new concept and a new course of study for you.
🙋🏽♂️ I am often asked where to start to get acquainted with the topic of date analytics and date management. My short answer:
Pandas is a great starting point for data analytics. It's a Python library is downloaded at least 10 million times every day that simplifies working with structured data like spreadsheets or databases. With Pandas, you can easily filter, clean, and analyze large datasets, making it ideal for handling CAD-BIM models or other structured data. Learning Pandas builds a solid foundation for organizing and analyzing data, essential in CAD-BIM and beyond.
Is BIM data processing really a cousin of data analytics, or am I just having too much fun with Excel? Don't hesitate to ask questions or share your thoughts!
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