This article makes the point that there are different levels of data. In the example given sensors within one building provide a local data layer for tweaking the "Smart Building@ controls to optimise temperature, comfort and costs. But the sum total of buildings across an estate or industrial complex may deliver comprehensive data helping decide on strategic matters.
That means central, Big Data Analytics engines.
The point is that Big data is not just for large enterprises and government organisations. It impacts the SME as well meaning they should have strategies to exploit Big Data Analytics.
The experts see differentiation between levels of data. A certain amount of functionality can be at the edge and help in localized scenarios. For instance, information about energy usage in a building can be gathered and crunched at the local level to enable tweaks that can cut costs or improve performance. However, if the goal is to assess usage across 15 facilities to make systemic changes, the data no doubt would be sent to a centralized and far more substantial Big Data analytics engine.