Purpose and minimum
Who provides the data, why the organisation needs it, which fields are essential, what notice or choice appears, and which fields should be rejected?
DATA CHAIN / PL–D
Select a meaningful personal-data example and build a chain of custody across interfaces, permissions, integrations, staff tools, logs, vendors, exports, backups, retention, and response procedures.
Who provides the data, why the organisation needs it, which fields are essential, what notice or choice appears, and which fields should be rejected?
Who reads, edits, exports, classifies, automates, or sends it? Include AI use, roles, approval, data quality, and the system of record.
Where do hosting, processors, subprocessors, integrations, logs, support access, transfers, and backups create another copy or decision?
How are access, correction, restriction, deletion, account closure, legal holds, breach decisions, communications, and proof of completion handled?
Identifier control
NIP, REGON, PESEL, identity documents, and other identifying data require a real use case, approved handling, appropriate access, validation ownership, retention, and support behavior. Test with authorised non-production fixtures rather than copying live records casually.
This site has a dedicated Poland GA4 property and direct-contact click events. That separation is useful for reporting, but it does not establish the required notice, consent behavior, retention, transfer treatment, or vendor terms for another product.
Choose one request—changed consent, corrected profile, deleted account, restricted access, or incident review—and prove its effect across every system in the chain.
Email platforms, spreadsheets, exports, backups, support tools, logs, and AI workflows belong beside the primary database.