Booking anonymization
Overview
With this feature you can set a date limit after which, the bookings are anonymized. This means that the system know which object was booked in what time frame, but the user associated with the booking will be permanently detached, so called anonymized. This is a good feature to minimize the personal data stored in Flexopus.
Configuration
To configure the anonymization settings, navigate in Flexopus as an administrator to Dashboard > Settings > Data Privacy Settings > Booking anonymization. Enable the option and decide how many days you want to set for the anonymization interval. The system will anonymize the bookings automatically every day for the past based on your settings.
EU based customers
Many EU based Flexopus customers are enabling the anonymization settings to prevent user based statistics. The reason is that the work council want to prevent the collection of the office bookings link to the colleagues, since they could be used to track when and where the employees worked. This is usually not the purpose of the application, therefor the work council want to get the past bookings anonymized. The work councils define the purpose of the application to optimize the office utilization, for that the personal bookings do not need to be saved and analyzed in the past. Also, due to GDPR saving, personal related information need to be limited in time and only saved as long they are necessary to fulfill the purpose of the data collection. The purpose is defined to book a resource, which means the purpose is fulfilled after the target day and the data can be anonymized.
However, you may have another valid reason to store the data longer, or you are not under the GDPR jurisdiction, in this case you can store the bookings longer and user the user based statistics. Even if you are an EU based customer, you may have a valid reason to store the data longer.
Statistics
After the data is anonymized, Flexopus still can provide utilization statistics on the building, floor and object level, however we will not know which user was in the office in the past. Learn more about the statistics here:
Daniel Fafula
Daniel Fafula
Daniel Fafula