Utilisation Analytics

Written By Sam Walton (Super Administrator)

Updated at May 31st, 2024

Applies to version 2023.02 and higher

Platform Insights

One of the core features of the IBSS Platform is the generation of utilisation analytics data. This data is generated using booking and occupancy sensor data to provide an accurate representation of the usage of your space. 

Key Measures

The key measures that are recorded for each space are defined below. 

Measure
Description
Space Utilisation (%)
The percentage of time that the space was used (occupied, signs-of-life, booked, or reserved) during the time it was available for use. E.g. Desk available for 8 hours a day but only used for 6 hours = 75% space utilisation.
Capacity Utilisation (%)
How well is the space used during the time it was available for use. E.g. 1 person in a 4 person meeting room for the whole day = 25% capacity utilisation.
Peak Utilisation (%)
The maximum usage of the space during the time that is was available for use. E.g. if at any point in the day a 4 person meeting room has 4 occupants, even for a few minutes, peak utilisation = 100%

The IBSS Platform captures data at a variety of resolutions and each is described below.

Spaces Summary Data

To gain an understanding of the usage of a space through a day, an in-day summary is recorded for each space where data is aggregated into 15 minute samples. This Spaces Summary data allows in-day charts to be rendered showing how the space is used in that day. 

This data is available for up to 30 days by default

Spaces Daily Summary Data

The Spaces Summary data for each space is then aggregated into a collection of Daily Summary records stored at midnight of the local building time. This means for example if the building is located at UTC+2, the daily summary record for the space will have a timestamp of 22:00:00 the day before. The records are divided into 5 categories:

  • All Day
  • Non-Office Hours
  • Office Hours
  • Non-Working Hours
  • Working Hours

This allows the analytics user to select the appropriate time frame for the analytics. 

This data is available for up to 120 days by default

Space Utilisation Data

At the highest level, the Daily Summary data for each space is then aggregated into a single utilisation record per space. This is then rolled up into zone-level summaries, floor-level summaries, building-level summaries, and finally up to region-level summaries. 

This data is available for up to 120 days by default.

Aggregate Options Description
Region An aggregate of all spaces across all buildings within a region
Building An aggregate of all spaces across all floors of a building
Floor An aggregate of all spaces on a particular floor of a building
Zone An aggregate of all spaces within a specific business zone / locational zone
Space Type An aggregate of spaces of a particular type (i.e. all Desks)
Space Class An aggregate of spaces of a particular classification (i.e. all Work Spaces)

Space utilisation data can be aggregated by multiple criteria giving options such as:

  • Aggregate all utilisation data for Desks on a specific floor.
  • Aggregate all utilisation data for the Finance department, over the whole region.
  • Aggregate all utilisation data for the Desks belonging to the Administration department.