01
Wiki
Data visualization is the graphical representation of information and data. Using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for employees or business owners to present data to non-technical audiences without confusion.
In our increasingly data-driven world, it’s more important than ever to have accessible ways to visualize data. Employees and business owners at every level need to understand data and its impact.
We are in the age of Big Data and the AEC is no exception. Visualization is an increasingly crucial tool to make sense of the trillions of rows of data generated every day. It helps to tell stories by curating data into a form that is easier to understand, highlighting the trends and outliers and removing the noise from data and highlighting helpful information.
02
e-verse way
As architects and engineers at e-verse, we are professionals that know precisely the impact of a good visualization of a building, so we combine that deep knowledge with our coding skills to display data in the most impressive and innovative ways.
Take decisions based in real data.
03
API
When automating processes, we have vast experience with multiple APIs, so we can implement a solution on top of the programs that our clients already use. We can work either on top of BIM solutions like Revit or Navisworks, we can create relationships between different programs, or we can create stand-alone online platforms depending on the needs.
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Blog/.build
An introductory guide for AEC data visualization
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Data Visualization
How we use our Data Warehouse to make decisions
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Data Visualization
How to use Graph ML to analyze street networks
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Data Visualization
The AU 2022 in numbers
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Data Visualization
A data-driven approach to create a killer AU talk
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Data Visualization
07
Stats
While industries like Manufacturing and Agriculture have greatly increased productivity in the latest decades, the construction industry has barely improved in comparison, so this shows us the great opportunity we have in our hands.
**Vian Ahmed, Algan Tezel, Zeeshan Aziz, Magda Sibley (2017), “The future of Big Data in facilities**
**Management: opportunities and challenges”, Facilities, Vol. 35 Issue: 13/14, pp.725-745**
Even with the current situation of the construction industry where there is a lack of innovation, construction firms and construction services firms value more the strategic value of big data analytics compared to other factors like data complexity, compatibility, or even technology readiness.
Chaurasia, S. S., & Verma, S. (2020). Strategic determinants of big data analytics in the AEC sector: a multi-perspective framework. Construction Economics and Building, 20
http://doi.org/10.5130/AJCEB.v20i4.6649
