Occupancy data has become an invaluable tool for businesses and organizations worldwide, offering insights into space utilization, user behavior, and more.
This article provides a comprehensive introduction to occupancy data, its importance, and its various applications.
What is Occupancy Data?
Occupancy Data refers to the information collected by IoT sensors about the use and occupancy of a space at any given time. This can range from real-time data, indicating how many people are in a room at a specific moment, all the way to historical data, which provides trends and patterns over longer periods.
Why is it Important?
In the era of hybrid work environments, understanding how spaces are used is not only crucial but plays a strategic role in:
Optimizing space utilization
Ensuring efficient resource allocation
Enhancing the overall user experience
For businesses, this data can translate to significant cost savings, a more streamlined operation, and efficiency to create smart buildings that meet business goals such as improved sustainability, overhead reduction, and better business performance.
How is Occupancy Data Collected?
The primary method of collecting occupancy data is through IoT sensors, such as those from Elsys, Pointgrab, and Cisco, which can detect and report space usage in real-time.
With Mapiq you can be granular about where you can collect sensor data from, since you can commission these sensors to specific locations within a building:
Desks
Areas
Meeting Rooms
Facilities
The Different Use Cases of Occupancy Data
The use cases of occupancy data are vast and it can vary, but ultimately enabling you to make informed and data-driven decisions around questions like:
Would a hybrid work model leave our offices empty on Fridays?
How are my different departments working and what spaces do they prefer?
What are our most popular and least popular space types?
Do employees prioritize privacy or proximity when choosing a space to work for the day?
Does the flow of our floor plans support both collaborative and individual work for employees?
How often are our meeting rooms booked in a given week?
Are employees booking spaces and not showing up?
Can we adopt a cleaning schedule based on occupancy instead of predetermined hours?
Can we automate energy conservation where lightning and HVAC systems are adjusted based on overtime trends in occupancy?
...
With the raw data collected from sensors, Mapiq transforms these data into visual and easy-to-understand reports. These reports can show trends over time, comparisons between spaces, and provide insights into space utilization, helping you make clear decisions to questions like those above.
To learn more about how sensor occupancy reports work, we'd recommend you to check out the following articles:
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