

THE PURPOSE
of Analytics
The purpose of workspace analytics is to analyse how physical office spaces are utilised, focusing on desk usage, meeting room occupancy, and overall foot traffic.
To achieve this, various types of data are collected. Occupancy data tracks the number of people using a space at any given time. Utilisation data measures how frequently and for how long spaces are used.
Additionally, foot traffic patterns reveal how people move through the office, helping to identify high-traffic areas and underutilised spaces.

THE PROCESS
1
Assess Current
Space Usage
Start by understanding your current space utilisation through surveys, manual observations, or basic occupancy data.
2
Setting
Objectives
Define what you want to achieve with workspace analytics, such as reducing underutilised spaces, improving energy efficiency, or enhancing employee satisfaction.
3
Tools
Selection
Choose the appropriate sensors and software based on your needs. Consider factors like scalability, ease of integration with existing systems, and the ability to provide actionable insights.
4​
Pilot
Program
Begin with a pilot in a specific area of your office. This allows you to test the system, gather initial data, and make any necessary adjustments before a full-scale rollout.
5
Full
Deployment
Start by understanding your current space utilisation through surveys, manual observations, or basic occupancy data.
6
Training
& Adoption
Define what you want to achieve with workspace analytics, such as reducing underutilised spaces, improving energy efficiency, or enhancing employee satisfaction.
7
Continuous
Monitoring
Choose the appropriate sensors and software based on your needs. Consider factors like scalability, ease of integration with existing systems, and the ability to provide actionable insights.

KEY TOOLS
& Technologies
ANALYTICAL
SOFTWARE
Analytical software combines data from sensors, scheduling platforms, and booking systems to optimise workspace use.
With dashboards, heat maps, and predictive analytics, it streamlines scheduling, enhances resource efficiency, and supports long-term space planning while reducing costs.