In recent years we have assimilated a lot of new ideas. Imagine yourself as a drafter in the 1950s, and how mind-blowing printing technology is today. How about a lot of the tedious calculation-based work that has been replaced with software tools: quantity take-offs, spatially organizing office space in a building, or even in creating models themselves. We work in an industry that is constantly evolving and changing. BIM, our chart and compass guiding us in the right direction.
Voyansi Voices Blog
Today is the first day in over a year that I will be working from somewhere other than my office. It's Monday, which means of course things are slower than normal and the urgency of a Tuesday or Wednesday has not arrived yet. Complicating matters is the fact that I haven’t had to fully dress myself in over a year.
Personal feelings aside for the state of social media today, I realized there is some truth in the importance of creating content for exposure. No, I'm not suggesting you go purchase a pair of black skinny jeans, a go-pro, and quit your job to travel.
Trusting your data shouldn't be hard to do, but it seems impossibly in many organizations. Every day, thousands of helpless spreadsheets are questioned about the accuracy of their numbers. Operating on fuzzy data makes everyone uneasy. Why can't all of our numbers just be accurate?
Imagine for a minute that you’re a plumber working on a building back in the paper age, maybe right around 1956. You have three, 12” storm pipes that need to run through an entire 30.000 sq.ft floor. To complicate matters, these pipes are going inside a Lab. They are sloped, and the piping needs to be as continuous and straight as possible along the way. Oh yea, remember, it’s a lab, so there is a ton of MEP equipment, and there are a handful of beams that you absolutely cannot clash with because they are structural.
Implementing BIM. It sounds challenging, scary even. Maybe it's on your radar, but the budget is not yet approved and you are still planning. There is a vast unknown ocean you are about to dive into, what kind of monsters lie in wait? Rework, lost productivity, expense, or additional effort are all lurking out there in the depth.
In our last few posts, we introduced you to our ecosystem design principles and the platforms we chose. Implementation can always be more perfect, and just as we changed a lot internally in the last 5 months, the next year will hold even more surprises for us. We know you are going through similar changes, so this is of how we formed an architecture for our data ecosystem.
Think for a moment about your chest of tools as an architect, engineer, or designer. You have a variety of software systems, years of experience, and training. Experience tells you when things won't work well, like that element can't go there, it will cause a clash. If you are new to BIM, drafting in 3D, or using Dynamo, this probably sounds like a bright future, but how do you get to that level?
The more I learn about nature, the more coincidences I find with my work at Voyansi.
In my last post, we covered our rules for software selection and how we found the right pieces for our software ecosystem. Choosing the software is just the beginning, stitching them into a cohesive end to end system takes trust, effort, and time. Our teams have been hard building towards new workflows. In this post, we will cover some of our design principles around our data ecosystem. These keep us aligned in our goals and allow us to decentralized our decisions.
Before writing this post, I reached out to a few people in the AEC space to talk about strategic BIM planning. For me, it's a catharsis to talk about BIM. However, anecdotally, about 75% of space owners are reluctant to engage in strategic planning sessions and my colleagues in the software and data world echoed this.