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CMP3455 Mastering PCI DSS for BI Project Managers in Financial Services

$199.00
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A tailored course, built for your situation

Mastering PCI DSS for BI Project Managers in Financial Services

Build auditable, defensible data control frameworks with precision and clarity

$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.
Spending cycles rejustifying the same control logic in review meetings

The situation this course is for

Technical leads in financial services often face repeated challenges on data handling decisions, not because their approach is wrong, but because their justification lacks the traceable, standard-aligned depth that auditors and peer architects demand. This leads to delays, rework, and diluted ownership.

Who this is for

Senior BI and data technical leads in regulated financial institutions who own or influence data flow design, access governance, and compliance-adjacent reporting architecture

Who this is not for

Entry-level analysts, non-technical compliance staff, or professionals outside financial services data environments

What you walk away with

  • Explain each PCI DSS control in the context of actual BI pipeline architecture
  • Reference authoritative sources and implementation examples when questioned
  • Design data access controls with clear rationale traceable to requirement 8.2.1 and beyond
  • Navigate cross-functional reviews with confidence in the logic behind your mappings
  • Produce documentation that survives team changes and auditor follow-ups

The 12 modules (with all 144 chapters)

Module 1. Understanding PCI DSS Scope in Data Pipeline Design
Define which parts of your BI environment fall under PCI DSS based on cardholder data flow, storage points, and processing logic. Learn to map boundaries using transaction tracing, not assumptions.
12 chapters in this module
  1. How cardholder data enters financial BI systems
  2. Identifying primary storage in reporting environments
  3. Defining segmentation in cloud and on-premise data lakes
  4. Tracing transaction IDs across staging tables
  5. Common misclassifications in data warehouse tagging
  6. When analytics-only datasets require PCI controls
  7. Using network flow logs to validate scope
  8. Documenting scoping decisions for audit review
  9. Integrating scope definitions into onboarding checklists
  10. Handling legacy data with unclear provenance
  11. Working with security teams on boundary alignment
  12. Updating scope after pipeline re-architecture
Module 2. Data Minimization and Masking in Financial Reporting
Implement effective data redaction strategies that preserve analytical utility while meeting PCI DSS 3.3 and 3.4. Focus on real BI use cases involving customer behavior and transaction analysis.
12 chapters in this module
  1. Balancing reporting needs with data exposure risks
  2. Applying tokenization in ETL workflows
  3. Dynamic masking for user-role-specific views
  4. Handling PAN truncation in summary tables
  5. Redaction in exported dashboards and PDFs
  6. When anonymization undermines analysis
  7. Logging access to masked datasets
  8. Validating masking effectiveness in test environments
  9. Managing exceptions for fraud detection teams
  10. Auditor expectations for data lifecycle controls
  11. Documenting data minimization decisions
  12. Reviewing masking rules during schema changes
Module 3. Access Control Design for BI Teams
Build role-based access models that satisfy PCI DSS 7 and 8 while supporting agile BI workflows. Address real-world conflicts between analyst access needs and principle of least privilege.
12 chapters in this module
  1. Defining data sensitivity levels in BI contexts
  2. Mapping roles to report consumption and editing
  3. Implementing two-person rule for sensitive extracts
  4. Using time-bound access in investigation workflows
  5. Managing service accounts for reporting jobs
  6. Password policies for non-human integrations
  7. MFA enforcement in self-service analytics platforms
  8. Session timeout settings in dashboard tools
  9. Tracking access changes in version-controlled repos
  10. Auditing login attempts across BI tools
  11. Handling access during incident response
  12. Reviewing permissions after team reorganization
Module 4. Audit Trail Implementation in Data Environments
Set up logging that captures data access, transformation, and export actions in ways that satisfy PCI DSS 10. Enable traceability without overwhelming volume.
12 chapters in this module
  1. Identifying critical data access points in pipelines
  2. Capturing query execution metadata in warehouses
  3. Storing logs securely outside BI environments
  4. Including user identity in ETL run records
  5. Tracking dashboard exports and email shares
  6. Defining log retention aligned to DORA
  7. Automating log review for anomalies
  8. Integrating with SIEM for centralized monitoring
  9. Handling false positives in user behavior alerts
  10. Preparing audit trails for regulator requests
  11. Validating log integrity and immutability
  12. Testing log recovery procedures annually
Module 5. Secure Development Practices for Reporting Code
Apply secure coding standards to SQL, Python, and ETL scripts used in BI pipelines. Align with PCI DSS 6.3 and prevent injection, exposure, and hardcoding flaws.
12 chapters in this module
  1. Avoiding hardcoded credentials in scripts
  2. Validating input parameters in dashboard filters
  3. SQL injection risks in dynamic queries
  4. Secure handling of temporary tables
  5. Code review checklist for financial reports
  6. Using parameterized queries in analytics tools
  7. Managing secrets in CI/CD environments
  8. Static analysis tools for BI codebases
  9. Version control best practices for reports
  10. Deprecation process for legacy reporting jobs
  11. Documenting data lineage in code comments
  12. Peer validation before production deployment
Module 6. Vulnerability Management in Analytics Platforms
Integrate vulnerability scanning and patching into BI toolchains, covering platforms like Power BI, Tableau, and underlying databases in line with PCI DSS 11.2.
12 chapters in this module
  1. Scheduling regular scans for BI servers
  2. Assessing risk of unpatched visualization tools
  3. Handling third-party plugin vulnerabilities
  4. Coordinating patch windows with business teams
  5. Validating fixes in test reporting environments
  6. Documenting exceptions for critical systems
  7. Tracking patch status across environments
  8. Logging vulnerability scan results
  9. Integrating findings into risk registers
  10. Reporting patching metrics to security leads
  11. Managing zero-day exposures in dashboards
  12. Reviewing vendor security advisories monthly
Module 7. Encryption of Data at Rest and in Transit
Implement and verify encryption controls across databases, file stores, and APIs used in BI reporting, aligned with PCI DSS 4 and 4.1.
12 chapters in this module
  1. Enabling TDE on financial data marts
  2. Using TLS for inter-system data transfers
  3. Configuring S3 bucket encryption correctly
  4. Validating encryption on backup tapes
  5. Handling key rotation in automated jobs
  6. Documenting cipher suite standards
  7. Auditing certificate expiration dates
  8. Testing failover with encrypted datasets
  9. Assessing performance impact of encryption
  10. Managing keys in cloud provider services
  11. Sharing encrypted files securely with partners
  12. Verifying encryption in disaster recovery
Module 8. Third-Party Vendor Risk in BI Ecosystems
Evaluate and manage risk from external vendors providing cloud data platforms, dashboards, and analytics services under PCI DSS 12.8.
12 chapters in this module
  1. Assessing vendor PCI DSS compliance status
  2. Reviewing SOC 2 reports for SaaS providers
  3. Defining data processing agreements for cloud tools
  4. Monitoring vendor access to financial datasets
  5. Tracking sub-processor chains in cloud platforms
  6. Handling right-to-audit clauses
  7. Validating data deletion upon contract end
  8. Mapping vendor systems to control boundaries
  9. Reporting vendor incidents to internal teams
  10. Updating due diligence after mergers
  11. Scoping vendor audits into annual reviews
  12. Managing offboarding of third-party consultants
Module 9. Change and Configuration Management for Data Pipelines
Establish controlled processes for modifying reports, dashboards, and ETL jobs, satisfying PCI DSS 6.4 and preventing unauthorized changes.
12 chapters in this module
  1. Defining change windows for BI systems
  2. Requiring approvals for production deployments
  3. Using version control for report definitions
  4. Testing changes in isolated environments
  5. Documenting rollback procedures
  6. Tracking configuration drift in pipelines
  7. Enforcing separation of duties in deployments
  8. Auditing deployment logs for anomalies
  9. Managing emergency changes with oversight
  10. Integrating changes into compliance checks
  11. Reviewing configuration baselines quarterly
  12. Updating documentation after each change
Module 10. Incident Response Planning for Data Breaches
Develop response playbooks for suspected data exposures involving financial reports, aligned with PCI DSS 12.10 and DORA requirements.
12 chapters in this module
  1. Identifying indicators of data exfiltration
  2. Containing unauthorized dashboard access
  3. Preserving logs during investigation
  4. Notifying compliance teams within 1 hour
  5. Assessing impact of exposed reports
  6. Engaging legal counsel for breach evaluation
  7. Documenting breach timeline accurately
  8. Coordinating with external forensics
  9. Reporting to regulators within 72 hours
  10. Updating controls after root cause analysis
  11. Conducting tabletop exercises annually
  12. Reviewing incident data for pattern trends
Module 11. Compliance Documentation and Audit Preparation
Produce clear, evidence-based documentation that satisfies internal and external auditors, focusing on repeatability and source traceability.
12 chapters in this module
  1. Organizing evidence by PCI DSS requirement
  2. Writing clear control descriptions
  3. Linking policies to technical implementation
  4. Using screenshots with timestamps
  5. Compiling logs into audit-ready packages
  6. Preparing narrative responses to findings
  7. Conducting pre-audit walkthroughs
  8. Tracking evidence collection deadlines
  9. Responding to auditor follow-ups
  10. Maintaining version history of documents
  11. Storing documents securely and accessibly
  12. Updating playbooks after each audit cycle
Module 12. Sustaining PCI DSS Compliance Over Time
Build processes that maintain compliance through team changes, system upgrades, and evolving business needs without recurring overhead.
12 chapters in this module
  1. Scheduling recurring control checks
  2. Automating evidence collection workflows
  3. Onboarding new team members securely
  4. Updating training materials annually
  5. Reviewing policies after regulatory shifts
  6. Integrating compliance into sprint planning
  7. Measuring control effectiveness over time
  8. Reducing manual effort with templates
  9. Tracking open issues to closure
  10. Sharing best practices across teams
  11. Updating implementation guides post-audit
  12. Planning for annual revalidation cycles

How this maps to your situation

  • When audit scope expands to include new report types
  • Before renewal of third-party analytics vendor contract
  • During migration of data warehouse to cloud
  • When onboarding new analysts with data access

Before vs. after

Before
Reactive justifications, fragmented documentation, repeated review cycles
After
Source-backed reasoning, consistent control narratives, confidence in technical scrutiny

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 90 minutes per week over 12 weeks, with flexible pacing and downloadable references for just-in-time use.

If nothing changes
Without structured, defensible control logic, even well-designed systems face repeated challenges, slowing delivery and weakening technical authority in cross-functional reviews.

How this compares to the alternatives

Unlike generic compliance overviews, this course focuses exclusively on the intersection of PCI DSS and BI engineering in financial services , giving you precise, applicable knowledge that standard certifications don't cover.

Frequently asked

Is this course suitable for non-security professionals?
Yes. It's designed specifically for technical leads and BI managers who need to design, justify, and maintain systems under PCI DSS without being security specialists.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need prior PCI DSS experience?
No. The course starts with foundational concepts and builds to advanced implementation patterns used in global banks.
$199 one-time. Approximately 90 minutes per week over 12 weeks, with flexible pacing and downloadable references for just-in-time use..

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
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