- Created by Petri Tolppanen, last updated by Vilma Lukkarinen on Oct 13, 2025 7 minute read
Overview
The occupancy analytics dashboard visualizes the occupancy data gathered by Occupancy sensor installation. In the occupancy dashboard, you can compare occupancy between different types of spaces, time intervals, days of the week, floors, buildings, and hours of the day; or find the most popular spaces. This article shows all the metrics you have access to.
Visit Optimaze Panorama to access sensor-based occupancy analytics.
- Go to panorama.optimaze.net
- Click Custom reports
- Click Choose report
- Choose EG Worksense Occupancy Analytics
The dashboard is divided to multiple views that you can access from the bottom of the page:
- Portfolio – overview of your property portfolio
- Area – aggregated occupancy data on country, city, or building level
- Building – focus on occupancy of a single building
- Floor – drill down to occupancy of one or more measurement points in a single floor
- Data export – export building data for Excel for further processing
Key glossary
Term | Definition |
|---|---|
Average | The average occupancy rate |
Daily peak (average) | Average of highest daily occupancy rates |
Data interval | The shortest period of time during which a resource is considered occupied regardless of how long it was occupied during the selected data interval period. Options available are 5 min and 1 h. Selecting the 5 min data interval enables calculating more accurate average occupancy rates but slows down calculation of the visualizations heavily. |
Peak | The single highest occupancy rate during the measured time period |
Key occupancy indicators | Consists of average, average daily peak, and peak occupancy, and reveals if the building occupancy is on a healthy level – not too low and not too high. |
Filtering the data
Use the powerful filter options in Area, Building, Floor, and Data export views to get the specific insight you need.
Selection of the time period
- Click the date range under the Period label at the top of the page
- Adjust the date range. Note that selecting a long date range may slow down calculation of the data significantly.
- Choose days of the week. By default, weekdays are selected. This means that Saturday and Sunday do not impact the calculation of averages
- Choose hours. By default, 08:00 to 16:00 are included, which corresponds to typical core work hours in most organizations. Including hours when people usually don’t work will distort the average values
- Optionally, choose which specific years, months, weeks, and dates should be included. Other years, months, weeks, or dates will be removed from the calculation.
- Click Close
Advanced filtering
Powerful filtering options that match your organization’s classification of space data unlock insight into utilization of spaces based on their type, capacity, or intended usage.
The data that is used by filters is defined for capacity objects or spaces in floor plans. See Floor plans & Capacity objects for details.
- Click Filter on the top right corner of the page
- Filter by Location
- Choose Building
- Choose Section (not available in the Area view). Sections are typically used for different wings of the building
- Filter by Zones
- Choose spaces based on their Main use zone, which are typically used for defining the spaces with multiple levels of granularity. An example could be Level 1 – “Office”, Level 2 – “Activity Based Office”, Level 3 – “Collaboration Spaces”
- Choose spaces that fall under specific Space category
- Choose spaces that belong to specific Organization
- Filter by Resource type
- Choose spaces of specific Main and sub type, such as meeting space or desk. These can be specified for each capacity object in Space.
- Choose Usage type. Possible values are empty, Assigned or Shared.
- Choose spaces with specific Capacity usually means how many people can fit in the space, such as meeting room or desk
- Filter by Space
- Choose Space names which match the names of spaces in the Optimaze Space module
- Choose spaces by Space number that are in use in the Optimaze Space module
- Click Close
- To reset advanced filters to the default values, click Clear all
Portfolio view
View your whole building portfolio at a glance. By default, the Portfolio view shows occupancy for the last 30 days.
Visualizations
- Location of your buildings are shown on the map
- The Buildings table lists all your buildings, and enables comparing daily peak and peak occupancy across your portfolio
Area view
The Area view shows aggregated occupancy data on country, city, or building level. Typical uses include
- viewing occupancy of multiple related buildings, such as a campus area
- viewing occupancy of buildings in a specific city or country
- comparing occupancy of your properties between cities or countries
How to choose the area
To limit which countries are included,
- under the Country label, click the list of countries at the top of the page
- click the dropdown
- select the countries you want to include
- click Close
To limit which cities or buildings are included,
- under Select cities or buildings, select the cities you want to include
- click ˅ to expand buildings in a city, then select the buildings you want to include
Visualizations
- Key occupancy indicators reveal the overall occupancy level
- Average occupancy by day of the week reveals how the selected buildings were occupied on various days of the week
- Average occupancy over the selected date range shows how occupancy changed over time by year, month, day, or hour
- Average occupancy by hour and weekday shows how busy your buildings were at various times of the day on each day of the week. All hours and days of the week are shown even if you have filtered them out from the calculated period. Click a cell to see peak occupancy for that selected time. Ctrl-click (Windows) or Command-click (macOS) to select multiple hours.
- Occupancy by building allows comparison of buildings. Click column headers to change how the list is sorted. Click a row to show data for the specific building. Ctrl-click (Windows) or Command-click (macOS) to select multiple buildings.
Building view
In the Building view you can focus on occupancy of a single building. Compare the occupancy between floors, days of the week, different times of the day, or trend over time.
How to choose the building
- Click the blue name of the building at the top left of the page
- If you have a lot of buildings in many countries or cities, narrow down the list of buildings by choosing a country or city
- Click the name of the building
- Click Close
Visualizations
- Key occupancy indicators reveal the overall occupancy level of the building
- Average occupancy by day of the week reveals difference of occupancy between days of the week
- Average occupancy over the selected date range shows how occupancy changed over time by year, month, day, or hour
- Average occupancy by hour and weekday shows how busy your building was at various times of the day on each day of the week. All hours and days of the week are shown even if you have filtered them out from the calculated period. Click a cell to see peak occupancy for that selected time. Ctrl-click (Windows) or Command-click (macOS) to select multiple hours.
- Occupancy by floor allows comparison of floors. Click column headers to change how the list is sorted. Click a row to show data for the specific floor. Ctrl-click (Windows) or Command-click (macOS) to select multiple buildings.
Floor view
In the Floor view, you can drill down to occupancy of one or more measurement points in a single floor.
Seeing the occupancy on the floor plan reveals overutilized and underutilized measurement points and provides invaluable insight into decision making.
How to choose the floor
- Click the name of the floor in blue text at the top left of the page
- If you have a lot of buildings in many countries or cities, narrow down the list of buildings by choosing a country or city
- Click the name of the building
- Click the floor
- Click Close
Visualizations
- Floor plan shows the average occupancy of each measurement point with a colored dot. Move your mouse pointer over the dot to see the exact average occupancy value. Hold Ctrl (Windows) or Command (macOS) and click to select multiple measurement points. Hold Ctrl (Windows) or Ctrl & Shift (macOS) and click, then drag to select multiple measurement points. Rotate the floor by pressing the compass button in the top right corner and move your mouse.
- Key occupancy indicators on the left reveal the overall occupancy level of selected measurement points.
- Average occupancy over the selected date range shows how occupancy changed over time by month, day, hour, 30 min, or 5 min. Note that choosing option that is shorter than a day increases the calculation time significantly and should only be used for periods of few days.
Data export view
Export building data for Excel for further processing.
How to choose the building
- Click the blue name of the building at the top left of the page
- Click the name of the building
- By default, all floors are included. If you want to focus on specific floors, check those floors.
- Click Close
Table column options
- Year, Month, Week, Weekday, Date, Hour are used for choosing the period of time for which the average occupancy is calculated
- CapacityObjectType shows the type of the space, such as meeting space or workstation
- CapacityObjectSubType shows the sub-type of the space based on the classification of your organization
- Capacity shows the capacity of the space
- CapacityObjectId is the unique identifier of the space that is visible in Optimaze Space module
Inclusion of zero occupancy values
- Choose whether you want to include 0 % occupancy
How to export data in a .xlsx file
- Hover mouse pointer over the data table. Three icons appear on the top right corner.
- Click the … icon
- Click Export data
- Click Export
Note that the maximum number of rows is 150,000.
Frequently asked questions
Why is the Average occupancy graph showing a shorter period than I have selected?
If you have multiple buildings where measurement of occupation was started at different times, it is possible to select a longer period than there is sensor data available for the selected building. The graph shows a bar only for those periods where at least one data point is available.