A tailored course, built for your situation
Mastering ISO 27701 for Data Analytics Business Analysts
Build privacy governance skills that extend across business units and compliance domains.
The situation this course is for
Data analytics teams often face delays when privacy compliance isn't built into workflows from the start. Yet most analysts aren't trained in the specific controls that frameworks like ISO 27701 demand, creating friction between innovation and audit readiness.
Who this is for
Mid-career data analytics professionals in regulated industries who are expected to deliver insights without violating privacy constraints.
Who this is not for
This is not for entry-level analysts still mastering SQL or dashboarding, nor for DPOs focused solely on policy drafting. It’s for those already translating data into decisions, and now needing to do it under formal privacy frameworks.
What you walk away with
- Map ISO 27701 privacy controls directly to analytics data flows
- Produce audit-ready documentation that survives cross-functional review
- Design reports and dashboards with embedded compliance by design
- Lead privacy implementation in analytics projects without waiting for legal or DPO sign-off
- Become the internal reference for ISO 27701 in data use cases across departments
The 12 modules (with all 144 chapters)
- What ISO 27701 regulates
- Relationship to GDPR and CCPA
- Core privacy principles defined
- Scope of PII in analytics
- Controller vs processor roles
- Data mapping requirements
- Documentation expectations
- Audit boundaries for analytics teams
- Compliance maturity models
- Integration with ISO 27001
- Privacy by design lifecycle
- Common implementation gaps
- Data flow diagramming techniques
- Identifying PII in structured tables
- Detecting quasi-identifiers in analytics
- Logging data access paths
- Defining processing purposes per dataset
- Linking BI tools to processing records
- Anonymization thresholds
- Data retention tagging
- Purpose limitation checks
- Consent linkage strategies
- Cross-border data tracking
- Processing inventory templates
- Access control design for analysts
- Role-based permissions setup
- Attribute-based access rules
- Encryption of PII at rest
- Masking strategies in visualization
- Logging query activity
- Audit trail retention
- Data minimization in extracts
- API security for reporting
- Dashboard access governance
- User behavior analytics setup
- Control testing documentation
- DSAR fulfillment workflow design
- Locating PII across marts
- Right to erasure implementation
- Data portability output formats
- Automating DSAR validation
- Exemption tracking
- Legal basis documentation
- Consent withdrawal handling
- Response time compliance
- Logging DSAR actions
- Third-party data chaining
- DSAR reporting templates
- Consent schema design
- Legal basis tagging fields
- Purpose alignment checks
- Consent expiration logic
- Withdrawal propagation
- Opt-in tracking pipelines
- Granular consent capture
- Public interest justification
- Legitimate interest assessments
- Data sharing permissions
- Audit readiness for basis
- Consent reporting
- DPIA trigger criteria
- Stakeholder identification
- Risk scoring methodology
- Consultation with DPO
- Mitigation control mapping
- Third-party risk inclusion
- Model explainability requirements
- Bias assessment inclusion
- Documentation structure
- Approval workflows
- Version control for DPIAs
- Integration with project lifecycle
- Processor due diligence
- DPA clause requirements
- Sub-processor tracking
- Cloud provider compliance
- SaaS tool assessments
- Audit rights negotiation
- Security questionnaire use
- Compliance validation process
- Onboarding checklists
- Ongoing monitoring
- Breach notification terms
- Exit planning
- Profiling definition under GDPR
- Automated decision justification
- Right to human review
- Model transparency requirements
- Bias testing protocols
- Explainability documentation
- Consent for AI use
- Data quality for AI inputs
- Logging AI decisions
- Impact assessment for AI
- Opt-out mechanisms
- AI-specific DPIA elements
- Identifying cross-border flows
- Schrems II implications
- Transfer impact assessments
- IDTA use
- EDEA implementation
- Standard Contractual Clauses
- Adequacy determination tracking
- Data localization strategies
- Encryption in transit
- Processor location risks
- Jurisdiction conflict resolution
- Documentation of transfers
- Breach definition and thresholds
- Detection in data systems
- Logging PII access anomalies
- Internal reporting workflow
- Regulator notification timing
- DPO escalation process
- Documentation of breach
- Risk assessment for disclosure
- Individual notification strategy
- Remediation tracking
- Post-incident review
- Breach simulation exercises
- Audit planning for analytics
- Evidence collection framework
- Internal audit cycles
- Control testing frequency
- Nonconformance tracking
- Remediation logging
- Audit trail retention
- Continuous monitoring tools
- Compliance dashboards
- Management review reporting
- Stakeholder communication
- Audit playbook creation
- Privacy champion network
- Cross-functional alignment
- Training material development
- Compliance metrics sharing
- Executive reporting
- Lessons learned documentation
- Playbook reuse strategy
- Regional adaptation process
- Leadership engagement
- Influence without authority
- Sharing best practices
- Scaling through documentation
How this maps to your situation
- When launching a new analytics product
- Before external audit cycles
- After a data access request spike
- During expansion into new regions
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, or 36 hours total, structured for completion in under 6 weeks with weekly pacing.
How this compares to the alternatives
Unlike generic GDPR courses or broad compliance overviews, this course is built for data analysts: specific, actionable, and tied directly to ISO 27701 implementation in real-world analytics environments.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.