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(2) Does this filter out the noise or create more of it?   For a building to be truly intelligent,
          Today, you can have a tool or app to monitor nearly every-
          thing happening in your buildings, but more isn’t always   it needs to be sensitive to its
          best. Before you buy anything, narrow down what really   occupants, respond to their
          matters to you, creating a set of 3-5 KPIs that you want
          monitor and track progress against every day. Depending  behaviors and anticipate their needs.
          on the portfolio and your role within the organization,
          these KPIs could focus anywhere from green initiatives   your attention. Give priority to those tools that take man-
          and tenant retention, to cost savings and asset value.   ual analysis out of the picture and proactively raise issues
          Start by asking yourself what areas matter most and why,   to the top of your to-do list.
          then back into what you’re going to measure and how
          (rather than the reverse).                           Bradbury just skimmed the surface of what may
                                                               become reality in three or five years. We’re all staying
          (3) Does this proactively surface the information needed   tuned to see how this growing intelligent building sector
          without making me search for it?                     of the market shapes up, but without question, it’s one
          Because you don’t have the time to look at every possi-  to watch closely.
          ble metric, you need to be able to manage by exception,
          rather than trying to look at every data point. You should      Jeff Thompson is co-founder and CEO of
          be able to rely on automatic alerts when critical areas of      AwareManager. He leads the company’s
          operations – based on the KPIs you set – aren’t hitting         commercial and corporate real estate clients’ most
          performance targets. That’s where intelligent building          complex projects. By combining his industry and
          technology comes into play. You shouldn’t be spending           IT expertise, Jeff helps organizations get data
          hours digging into data, combining multiple data sources   models set up correctly from the very start and helps them
          in Excel or doing napkin calculations just to find out   overcome major hurdles to user adoption, data-driven decision-
          what’s happening in the building or portfolio that needs   making and stakeholder engagement.














































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