Post by juthi52943 on Jan 6, 2024 5:40:55 GMT
Even more helpful in terms of the idea of how to best describe the retention periods for personal data in an organization, including e-mail, seems to be the above-mentioned data retention schedule developed by the University of London. In the schedule, all data retention deadlines, including those regarding the content of university employees e-mails.
Have been specified by different categories of processed Job Function Email List data, . e-mails related to the transfer of certificates/certificates to students, e-mails sent to the helpdesk, etc. Different retention periods apply to specific types of data processed by the University, as described in the adopted schedule. This division is similar to the idea of grouping e-mails into folders folders.
Should be arranged in the most convenient way for the organization, . division into clients, thematic division into individual departments/areas of the organizations activity, etc.. It is impossible to browse the entire contents of the mailbox looking for specific types of emails that should be deleted. Therefore, having folders dedicated to particular categories of data - taking into account for this data - will undoubtedly make things easier.
Have been specified by different categories of processed Job Function Email List data, . e-mails related to the transfer of certificates/certificates to students, e-mails sent to the helpdesk, etc. Different retention periods apply to specific types of data processed by the University, as described in the adopted schedule. This division is similar to the idea of grouping e-mails into folders folders.
Should be arranged in the most convenient way for the organization, . division into clients, thematic division into individual departments/areas of the organizations activity, etc.. It is impossible to browse the entire contents of the mailbox looking for specific types of emails that should be deleted. Therefore, having folders dedicated to particular categories of data - taking into account for this data - will undoubtedly make things easier.