Privacy & Data Handling
A practical framework for data minimisation, purpose limitation, access, retention, transfer and client control.
Control areas
Data minimisation
Document the applicable requirement, accountable owner, evidence and review cadence.
Purpose and lawful-use alignment
Document the applicable requirement, accountable owner, evidence and review cadence.
Access control
Document the applicable requirement, accountable owner, evidence and review cadence.
Retention and deletion
Document the applicable requirement, accountable owner, evidence and review cadence.
Data location considerations
Document the applicable requirement, accountable owner, evidence and review cadence.
Subprocessors and vendors
Document the applicable requirement, accountable owner, evidence and review cadence.
Data-subject requests
Document the applicable requirement, accountable owner, evidence and review cadence.
Client instructions and contracts
Document the applicable requirement, accountable owner, evidence and review cadence.
Evidence-first approach
Trust claims should be supported by actual controls, records, configuration, testing or contracts. DataLgorithmics does not present unverified certifications or compliance statuses as facts.