Data centric decision making
And what bad data looks like…
Let’s say I am the CEO of a (Swiss) company and I want to implement BIM the best it can be done. If I read this report, I would be tempted to jump in my jet and head to Chile to find my expert.
That’s not to say there aren’t some wonderful BIM specialists there but PLEASE, if you are going to publish data like this, make it useful!
Did they define BIM or benchmark competency? What does ‘use BIM‘ mean? Are we talking Revit proficiency or digital twins? And, who validated the data?
As we move towards a more data-centric-decision-making world, this article is important because it shows how easily data can be trusted. Good or bad. Obviously, everybody checks data validity before acting. You’d think!
Yet, 42.8% of procurers still procure based on a BIM box ticked and almost 33.62% of promising BIM talent still moves for shiny offers with companies that can’t even spell BMI.
Don’t believe everything you hear or read. Beware the perils of automatically accepting (or worse, wanting to accept) others’ data. Whether you are a BIM Graduate looking for the best career move, a Swiss CEO looking for the best BIM Leader, HS3 looking for the best BIM teams or the BIM Coordinator checking a model, validate the data.