Overview
When using the “Basic - Analytics” you are able to check the data of rooms and desks.
To check data in a more specific and detailed way, we will have Advanced Analytics in the near future available for our customers.
Data
The sensors and the booking system are the main datasource.
The data shown is always about the last 30 days.
Furthermore, the smart analytics software is reading the opening hours of the choosen building.
For example: Prime Tower is open between 08.00 - 18.00 o`clock
Everything what is happening out of the opening hours isn`t part of the Data shown to you.
The analytics can help you figuring out which meetingroom/desk not booked, not used weather booked or not,
Rooms
Overview
When using the “Basic - Analytics” you are able to check the data of rooms and desks.
To check data in a more specific and detailed way, we will have Advanced Analytics in the near future available for our customers
Data
The data shown is always about the last 30 days.
Furthermore, the data is
Rooms - Basic Analytics
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Content
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Overview
You can view your workspace data (usage and reservations) for the last 30 days in the Basic Analytics. If you have uploaded a floor plan to the plan editor, you are able to view it here and analyse the workspaces based on the floor plan.
If you want to be able to analyse a longer timeframe, or you would like to compare floor by floor / building by building, please have a look at our Advanced Analytics. If you are interested, please contact sales@roomz.io for a demonstration
Handle of the workspaces data
The data is always processed during the night, so information from today will be available tomorrow. The working days and opening hours, defined in the building settings, are the time frame in which the data is taken into account. As an example, if you want to include the weekend in the report, you must include “Saturday + Sunday” inside the settings. If you change these settings, the changes are taken into account in the future (from the day of the change). The data from the past will not be changed and stay with the previous opening hours, days.
For sensor data we only process valid data, if a workspace has no valid data for one day or more, we’ll handle this workspace like he wouldn’t exist (all calculations are done without this workspace). A sensor could have invalid data if some of the following issues occurred:
There is a physical shock on the device (for instance a knee bumping on the desk sensor)
There is an electrical static discharge
The USB is plugged/unplugged
If a sensor isn’t able to communicate with the server, it will buffer the usage data up to 10 days or more (depends on the usage). As soon as it is able to communicate again, it will send the data to the server and the data will be visible the following day.
All analytics data is anonymous and is stored for a maximum of 2 years, after which all data will be erased.
What can be seen in the basic analytics
You can have two different overviews over the last 30 days :
Floor view
Workspace view
Floor View
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You will only be able to see this view, if you have uploaded a Floorplan to the plan editor (under my Organization)
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This graph will only be shown, if you have at least one desk setup with a sensor It shows the peak value (red) and the average (blue) usage per day in percent (%). If you reach 100% peak, it means that on that particular day all the desk were used 100% of the available time (opening hours) |
Workspace view - Room
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The heatmap shows you the status of the space, you can have the following states: If you have a sensor
If you do not have a sensor
If you have a gray state in the heatmap, it means missing information from the sensor and / or the booking system. |
Workspace view - Desk / Huddle / Parking
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The heatmap shows the status of the space, you can have the following states: If you have a sensor
If you do not have a sensor
If you have a gray state in the heatmap, it means missing information from the sensor and / or the booking system. |