Explore Tasks
Map personal data processing and maintain the record of processing activities
The controller and the Data Protection Officer receive a current record of processing activities with purposes, lawful bases, data categories, recipients, transfers, retention and data flows for each activity, informed by personal data discovery, with gaps assigned to data owners.
- Locating and acting on personal data for individual rights requests
- Writing data quality rules
- Enforcing and auditing data access
- Recognising personal data and privacy duties
- Applying data classification and handling rules
- Assessing privacy risk through data protection impact assessments
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Designing testable data controls
- Controlling disclosure risk in shared data and outputs
- Recognising and containing suspected personal data breaches
- Escalating unresolved risks with evidence and clear ownership
- Resolving consent and suppression status across systems
- Mapping personal data processing and flows
- Interpreting policy scope and delegated authority limits
- Building data protection by design into data products and pipelines
- Identifying and quantifying decision downside and exposure
- Testing competing explanations with discriminating evidence
- Making accountable decisions under uncertainty
- Revising prior decisions when evidence changes
- Reasoning about systems, feedback and second-order effects
- Independently checking analytical conclusions and claims
- Facilitating group decisions using disputed evidence
- Rating risks against appetite and choosing proportionate treatment
- Recognising and resolving ethical conflicts in data and AI work
- Classifying AI uses against regulatory obligations
- Validating records by matching, recomputation and end-to-end tracing
- Tracing data lineage upstream and downstream
- Assigning and operating data ownership and stewardship
- Discovering undeclared data processing and AI use from operational evidence
- Record-keeping requirements for processing activities and AI systems
Paths that teach the skills it needs
Skill Path
Data Literacy for Business Decisions
Judge whether a business claim from a table, KPI, chart or dashboard really holds up.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Privacy, Security and Access for Data and AI
Protect personal data and access with impact assessments and incident evidence.
- Modules
- 5 open
- Practice data
- Raket Parts
