In other industries, the interoperability construct has evolved beyond the purely technological domain to encompass multiple dimensions. Within the AEC industry, these dimensions of interoperability have yet to take root, but the good news is that the necessary technology to improve this is available, and at e-verse, we are here to help with it.
Turning data into actionable information is a huge task. At e-verse, we focus on improving how people interact with the built world, so we work on finding ways to visualize data and make better decisions within the AEC industry.
There are many ways we can describe *this workflow*, but we prefer the following:
- Data Engineering: before analyzing the data, it is first essential to make it available. We have found that this step sometimes is the most prominent wall that prevents us from moving forward.
- Data Analytics: moving forward to this step means we have come a long way. It is time to put our data to work for us
- Data modeling and prediction: here, everything is related to finding the underlying mechanism through which our system generates data. If we understand how this works, we can predict or infer possible future outcomes and prepare for them.
Imagine visualizing the status of your projects in a single place, always up-to-date with data collected automatically from your design team (or even the site), viewing all the statistics from your BIM model, and deriving conclusions across a single project or multiple ones.
That’s the world where we want to live! And it’s possible. We can work together to achieve it, an iteration at a time.
We have worked on these issues in the AEC industry from different stakeholders’ standpoints. These challenges have allowed us to know the way around this world of complexities: creating cloud-based reporting architectures, where data flows automatically like a river, not depending on any particular server or machine, exporting and importing data programmatically from different sources and to many destinations, creating live dashboards, using machine learning and custom algorithms to leverage BIM data, and many others!
Turn data into actionable information.
Source – FMI
Source – BARC