Ever since it's mainstream adoption, design and engineering organisations have considered Building Information Modelling (BIM) to be a driving factor in transforming business operations from redundant 2D-based systems, to systems containing 3D models that are data-rich.
During this process, organisations have quickly realised that the BIM can act as a data repository of the building’s identity and performance.
But despite the best efforts of aiming for that holy grail of a data-rich model, this is by no means a clear indicator that the data is actually being leveraged. That is, having an abundance of data does not correlate into having meaningful data.
For years, companies have been in search of a way to create the ultimate BIM that is capable of housing the entire catalogue of design data in a single repository.
However, the key to bringing order to the vast array of project data has not yet been found, and the base technology available today, for all its advancements and sophistication, is yet to meet these very high expectations.
This whitepaper explores the basic principles of combining multiple data sources within the context of a BIM, and how through the impact of its environmental factors, the BIM transforms this data into information.
We also consider why applying custom intelligence to, and around the BIM environment is worthy of investment, as further automated and meaningful information can be derived and leveraged in other business processes.