Feature availability
The Advanced Analytics is not available by default. An additional subscription is needed. Once activated, it can take up to 24 hours for being visible on the ROOMZ Portal (https://portal.roomz.io ). Please contact sales@roomz.io for a trial.
Once activated, it can be found under the following menu:
Content
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Overview
The layout of the is composed of 3 parts: the navigation, the filters and the report:
Navigation
Context
The context represents what kind of information you would like to analyze. At the moment, the following contexts are available:
Utilization
Bookings
Utilization %
No-show
Point of view
Depending on the context, you can then select a point of view in order to do comparison. The Organization point of view will allow you to compare buildings and floors, whereas Floor will allow you to compare the workspaces on the same floor.
Help
It will bring you to this documentation.
Filters
Date
It allows to specify the start and end date of the period to analyze. Depending on your history, up to 2 years of data can be selected. You can also select or unselect specific days (e.g. only Monday and Tuesday).
Workspace type
The list of workspace types you can select will depends on your ROOMZ integration. The following types can be selected: Room, Desk, Huddle and Parking space. Depending on the context, some type could not be present (e.g. Huddle spaces are not bookable, so it will not be displayed on the Booking Report).
Workspaces
This is where you select specific buildings or floors, depending on the report and point of view. If the Organization’s point of view is selected, you can choose one or many buildings and floors. When you select Floor as point of view, you can select only one floor at a time. A search is available should you have a lot of buildings.
Tags
Tags are a free way to group workspaces together. It can be typically used for defining some equipment (e.g. wide-screen displays for desk, beamer for meeting room), zone (marketing, hr, …) or projects (e.g. project 1, project 2, …). A search is also available should you have a lot of tags
Reports
Categorization vs. Number of hours
As a workspace manager, you are looking for patterns, outliers and key differentiators between the workspaces. When comparing them, the hours of utilization seem to be the right metric, but when averaged on several days you a losing an important differentiation criterion.
Let’s have a look to an example:
Monday[hours] | Tuesday [hours] | Wednesday hours] | Thursday [hours] | Friday [hours] | Average Hours | ROOMZ Category | |
Desk 1 | 11 | 0 | 0 | 0 | 0 | 2.2 | Rarely |
Desk 2 | 2 | 2.5 | 2.5 | 2.5 | 1.5 | 2.2 | Frequently |
Here, each desk has an average utilization of 2 hours. But as you can see, there is a clear difference. While the desk 1 has been well utilized on Monday, it was not utilized during the rest of the week.
Based on several years of experiences, ROOMZ, developed a machine learning-based algorithm allowing to categorize the utilization and bookings. The workspace will be in one of the following. very rarely, rarely, frequently or very frequently.
Note: unlike the basic analytics, working hours no longer need to be taken into account in this algorithm.
Utilization
& Bookings, Bookings, Utilization % and No-show
The utilization section represents the real presence. This information can be obtained thanks to the ROOMZ Sensor.
The bookings represent section represents the information that usually comes from the meeting room's reservation system. For the desk, it is generally hosted on ROOMZ Cloud.
The utilization % section represents the real presence in percentage %.
No-Show section represents the number of no-show.
Per Organization
Per Floor
