Data and reporting on how office spaces are used, including occupancy trends, peak times, underused areas, and booking patterns.
Workspace analytics turns raw booking and occupancy data into actionable insights. Dashboards show which floors are busiest, what time of day demand peaks, which meeting rooms are chronically overbooked, and which desks sit empty most of the week. This information drives decisions about space allocation, lease renewals, and office design.
Data sources include booking system records, badge swipe logs, occupancy sensors, and Wi-Fi connection counts. The most useful analytics combine multiple signals -- a desk that is booked but never checked into tells a different story than a desk that is never booked at all.
For facilities teams and workplace strategists, analytics answer the fundamental question: do we have the right amount of the right kind of space? Without data, that question is answered by gut feeling and anecdote. With analytics, it is answered by evidence.
The percentage of available workspace being actively used, calculated as occupied hours divided by total available hours.
A hardware device that detects whether a workspace is physically occupied, using infrared, motion, or other technology to provide real-time presence data.
The process of determining how much office space, how many desks, rooms, and parking spots an organisation needs based on actual usage data and growth forecasts.
The percentage of bookings where the person who reserved a resource does not show up or check in, wasting the reserved capacity.