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CMP1213 Mastering ISO 27701 for Data Analytics Business Analysts

$199.00
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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.

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Struggling to align data projects with evolving privacy standards?

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)

Module 1. Foundations of ISO 27701 in Data Contexts
Understand how ISO 27701 extends GDPR and privacy principles into technical and organizational controls relevant to data analytics workflows.
12 chapters in this module
  1. What ISO 27701 regulates
  2. Relationship to GDPR and CCPA
  3. Core privacy principles defined
  4. Scope of PII in analytics
  5. Controller vs processor roles
  6. Data mapping requirements
  7. Documentation expectations
  8. Audit boundaries for analytics teams
  9. Compliance maturity models
  10. Integration with ISO 27001
  11. Privacy by design lifecycle
  12. Common implementation gaps
Module 2. Mapping Analytics Workflows to PII Processing
Learn how to trace data pipelines from ingestion to reporting and identify all PII touchpoints subject to ISO 27701 controls.
12 chapters in this module
  1. Data flow diagramming techniques
  2. Identifying PII in structured tables
  3. Detecting quasi-identifiers in analytics
  4. Logging data access paths
  5. Defining processing purposes per dataset
  6. Linking BI tools to processing records
  7. Anonymization thresholds
  8. Data retention tagging
  9. Purpose limitation checks
  10. Consent linkage strategies
  11. Cross-border data tracking
  12. Processing inventory templates
Module 3. Privacy Controls for Analytics Environments
Implement specific ISO 27701 controls in databases, dashboards, and automated reporting systems.
12 chapters in this module
  1. Access control design for analysts
  2. Role-based permissions setup
  3. Attribute-based access rules
  4. Encryption of PII at rest
  5. Masking strategies in visualization
  6. Logging query activity
  7. Audit trail retention
  8. Data minimization in extracts
  9. API security for reporting
  10. Dashboard access governance
  11. User behavior analytics setup
  12. Control testing documentation
Module 4. Data Subject Rights in Analytical Systems
Design systems that support data subject rights including access, correction, and deletion within analytics environments.
12 chapters in this module
  1. DSAR fulfillment workflow design
  2. Locating PII across marts
  3. Right to erasure implementation
  4. Data portability output formats
  5. Automating DSAR validation
  6. Exemption tracking
  7. Legal basis documentation
  8. Consent withdrawal handling
  9. Response time compliance
  10. Logging DSAR actions
  11. Third-party data chaining
  12. DSAR reporting templates
Module 5. Consent and Legal Basis Management
Integrate consent tracking and legal basis justification directly into analytics data models and ETL pipelines.
12 chapters in this module
  1. Consent schema design
  2. Legal basis tagging fields
  3. Purpose alignment checks
  4. Consent expiration logic
  5. Withdrawal propagation
  6. Opt-in tracking pipelines
  7. Granular consent capture
  8. Public interest justification
  9. Legitimate interest assessments
  10. Data sharing permissions
  11. Audit readiness for basis
  12. Consent reporting
Module 6. Data Protection Impact Assessments
Conduct DPAs tailored to analytics projects involving high-risk processing under ISO 27701.
12 chapters in this module
  1. DPIA trigger criteria
  2. Stakeholder identification
  3. Risk scoring methodology
  4. Consultation with DPO
  5. Mitigation control mapping
  6. Third-party risk inclusion
  7. Model explainability requirements
  8. Bias assessment inclusion
  9. Documentation structure
  10. Approval workflows
  11. Version control for DPIAs
  12. Integration with project lifecycle
Module 7. Vendor and Third-Party Compliance
Ensure third-party data processors and analytics platforms comply with ISO 27701 requirements.
12 chapters in this module
  1. Processor due diligence
  2. DPA clause requirements
  3. Sub-processor tracking
  4. Cloud provider compliance
  5. SaaS tool assessments
  6. Audit rights negotiation
  7. Security questionnaire use
  8. Compliance validation process
  9. Onboarding checklists
  10. Ongoing monitoring
  11. Breach notification terms
  12. Exit planning
Module 8. Privacy in AI and Automated Decisioning
Apply ISO 27701 controls to AI-driven analytics and automated decision systems.
12 chapters in this module
  1. Profiling definition under GDPR
  2. Automated decision justification
  3. Right to human review
  4. Model transparency requirements
  5. Bias testing protocols
  6. Explainability documentation
  7. Consent for AI use
  8. Data quality for AI inputs
  9. Logging AI decisions
  10. Impact assessment for AI
  11. Opt-out mechanisms
  12. AI-specific DPIA elements
Module 9. Cross-Border Data Transfers
Manage international data flows in compliance with ISO 27701 and regional privacy laws.
12 chapters in this module
  1. Identifying cross-border flows
  2. Schrems II implications
  3. Transfer impact assessments
  4. IDTA use
  5. EDEA implementation
  6. Standard Contractual Clauses
  7. Adequacy determination tracking
  8. Data localization strategies
  9. Encryption in transit
  10. Processor location risks
  11. Jurisdiction conflict resolution
  12. Documentation of transfers
Module 10. Incident Response for Data Breaches
Prepare and respond to data breaches involving analytics systems in line with ISO 27701 requirements.
12 chapters in this module
  1. Breach definition and thresholds
  2. Detection in data systems
  3. Logging PII access anomalies
  4. Internal reporting workflow
  5. Regulator notification timing
  6. DPO escalation process
  7. Documentation of breach
  8. Risk assessment for disclosure
  9. Individual notification strategy
  10. Remediation tracking
  11. Post-incident review
  12. Breach simulation exercises
Module 11. Auditing and Continuous Compliance
Prepare for internal and external audits with documentation that proves ongoing ISO 27701 compliance.
12 chapters in this module
  1. Audit planning for analytics
  2. Evidence collection framework
  3. Internal audit cycles
  4. Control testing frequency
  5. Nonconformance tracking
  6. Remediation logging
  7. Audit trail retention
  8. Continuous monitoring tools
  9. Compliance dashboards
  10. Management review reporting
  11. Stakeholder communication
  12. Audit playbook creation
Module 12. Scaling Privacy Across Business Units
Extend your privacy governance model to influence multiple departments and regions.
12 chapters in this module
  1. Privacy champion network
  2. Cross-functional alignment
  3. Training material development
  4. Compliance metrics sharing
  5. Executive reporting
  6. Lessons learned documentation
  7. Playbook reuse strategy
  8. Regional adaptation process
  9. Leadership engagement
  10. Influence without authority
  11. Sharing best practices
  12. 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

Before
Waiting for compliance teams to sign off on analytics workflows, leading to delays and rework.
After
Designing and delivering analytics outputs that meet ISO 27701 standards from the start, trusted across departments.

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.

If nothing changes
Without structured privacy governance skills, analytics projects will continue to stall at compliance checkpoints, limiting your influence and career growth.

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

Is this course relevant if my company isn’t certified in ISO 27701?
Yes. The controls are increasingly adopted even without formal certification, especially in organizations handling personal data at scale.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-PII data projects?
Yes. The discipline improves data governance broadly, even when privacy isn’t the primary driver.
$199 one-time. Approximately 3 hours per module, or 36 hours total, structured for completion in under 6 weeks with weekly pacing..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours