Macro trends in technology are making it increasingly cost-effective to instrument and collect data about the operations and energy usage of buildings. We are now awash in data and the new problem is how to make sense of it. Today most operational data has poor semantic modeling and requires a manual, labor-intensive process to “map” the data before value creation can begin. Pragmatic use of naming conventions and taxonomies can make it more cost-effective to analyse, visualise, and derive value from our operational data.
