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Data Processing

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Data Processing

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Interoperability allows for better planning, better construction, and improved management after the build has been completed. It improves collaboration and communication and helps to achieve a stronger result.

parametric design

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:

  1. 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.
  2. 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
  3. 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.

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