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Occupancy analytics: designing space around how it is really used

Most organisations do not know how their space is actually used. Occupancy data turns guesswork into evidence.

Property is one of the largest costs an organisation carries, yet decisions about it are often made on assumption: how many meeting rooms are needed, whether a floor is busy, how much space people really use. Occupancy analytics replaces that guesswork with measurement.

How it is measured

Sensors, and data from systems already in place such as access control, Wi-Fi and room booking, show how spaces are used through the day and week, without identifying individuals when done responsibly.

What it reveals

  • Which rooms and floors are busy, and which sit empty
  • Peak times and real demand for meeting space
  • Whether the workplace matches how people work
  • Where cooling, lighting and cleaning can follow real use

From insight to action

The data informs both operations and strategy: tuning cooling and cleaning to real occupancy, rightsizing meeting space, and making confident decisions about how much space the organisation actually needs.

Privacy matters

Done well, occupancy analytics counts and aggregates without tracking individuals. Being clear about what is measured and why keeps it both useful and trusted.

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