A tailored course, built for your situation
Deeper command of analytics governance frameworks
Master the standards, controls, and data lineage patterns shaping modern financial services analytics
$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.
The situation this course is for
Who this is for
Analytics Developer in regulated financial services working at the intersection of data delivery, compliance, and audit readiness
Who this is not for
This is not for data analysts focused on visualization or one-off reporting, nor for engineers outside regulated environments where traceability and control are optional.
What you walk away with
- Map end-to-end data lineage that satisfies internal audit scrutiny
- Anticipate control requirements before development begins
- Structure analytics artefacts for reuse across compliance, risk, and finance teams
- Justify design decisions using recognized data governance standards
- Produce documented control assertions without rework
The 12 modules (with all 144 chapters)
Module 1. Core principles of regulated analytics
Understand the foundational expectations for data integrity, reproducibility, and reviewability in financial services environments.
12 chapters in this module
- Defining regulated analytics
- SEC and FINRA data expectations
- Principle of data provenance
- Reproducibility standards
- Audit trail requirements
- Model vs. analytics distinctions
- Versioning discipline
- Change control scope
- Documentation as artefact
- Traceability benchmarks
- FAIR data in practice
- Enterprise alignment layers
Module 2. Data lineage from source to insight
Build comprehensive lineage maps that connect raw feeds to final outputs with precision and clarity.
12 chapters in this module
- Lineage scope definition
- Source system identification
- ETL pipeline mapping
- Transformation logic tracking
- Field-level lineage
- Schema evolution handling
- Cross-system dependencies
- Automated tagging options
- Manual verification points
- Audit-ready lineage format
- Lineage validation techniques
- Updating lineage efficiently
Module 3. Control frameworks for analytics
Apply internal control standards like COSO and NIST to analytics workflows to ensure compliance by design.
12 chapters in this module
- COSO framework basics
- Control environment setup
- Risk assessment integration
- Control activities mapping
- Information & communication flows
- Monitoring mechanisms
- NIST SP 800-53 relevance
- Control tailoring process
- Documentation standards
- Testing control effectiveness
- Remediation tracking
- Control assertion templates
Module 4. Model risk management boundaries
Distinguish analytics from models and apply SR 11-7 expectations appropriately.
12 chapters in this module
- SR 11-7 scope criteria
- Model inventory thresholds
- Validation lifecycle stages
- Sensitivity testing methods
- Benchmarking approaches
- Model documentation specs
- Change management rules
- Independent review triggers
- Performance monitoring
- Decommissioning protocols
- Model exception handling
- Documentation completeness check
Module 5. Metadata architecture patterns
Implement standardized metadata structures that support discoverability, reuse, and governance at scale.
12 chapters in this module
- Metadata taxonomy design
- Business glossary alignment
- Technical metadata capture
- Operational metadata tracking
- Ownership assignment
- Stewardship workflows
- Searchability standards
- Integration with data catalog
- Automated extraction rules
- Manual annotation protocols
- Version control for metadata
- Audit trail generation
Module 6. Documentation for reviewability
Structure artefacts so auditors, reviewers, and peers can verify integrity quickly and confidently.
12 chapters in this module
- Review-ready package structure
- Executive summary writing
- Assumption documentation
- Data limitation disclosure
- Logic flow presentation
- Code commenting standards
- Output validation steps
- Peer review checklist
- Version history tracking
- Change rationale logging
- Approval chain recording
- Archive preparation
Module 7. Audit engagement preparation
Anticipate auditor questions and deliver evidence proactively to reduce back-and-forth.
12 chapters in this module
- Common audit request types
- Evidence readiness checklist
- Data access provisioning
- Control testing samples
- Exception explanation format
- Follow-up response timing
- Coordination with compliance
- Audit communication protocol
- Findings tracking system
- Management response drafting
- Root cause analysis
- Pre-audit self-review
Module 8. Change control in analytics
Manage updates systematically to maintain integrity and compliance across versions.
12 chapters in this module
- Change identification
- Impact assessment process
- Stakeholder notification
- Review board coordination
- Approval workflows
- Implementation sequencing
- Rollback planning
- Post-deployment validation
- Documentation updates
- User communication
- Audit trail supplementation
- Version reconciliation
Module 9. Reusable analytics components
Design modular artefacts that compound value across projects and teams.
12 chapters in this module
- Component scoping
- Standardized input contracts
- Output interface design
- Error handling patterns
- Versioning strategy
- Dependency management
- Testing harness creation
- Documentation templates
- Catalog publication
- Usage tracking
- Deprecation process
- Feedback collection
Module 10. Cross-functional alignment
Coordinate effectively with risk, compliance, data governance, and business teams using shared frameworks.
12 chapters in this module
- Stakeholder identification
- Requirement gathering
- Common terminology
- Meeting facilitation
- Decision logging
- Escalation pathways
- Feedback integration
- Status reporting
- Conflict resolution
- Alignment artifacts
- Cross-team playbook
- Trust-building actions
Module 11. Governance automation tools
Leverage tooling to maintain consistency and reduce manual effort in governance tasks.
12 chapters in this module
- Lineage automation tools
- Metadata scraping options
- Validation rule engines
- Policy-as-code platforms
- Workflow orchestration
- Audit trail integrations
- Alerting configurations
- Dashboard reporting
- Tool compatibility checks
- Change propagation tracking
- User access controls
- Tool maintenance schedule
Module 12. Mastery integration lab
Apply all concepts to a realistic case study to solidify end-to-end command.
12 chapters in this module
- Case background setup
- Lineage mapping exercise
- Control framework application
- Risk boundary assessment
- Metadata structure design
- Documentation assembly
- Audit readiness check
- Change control scenario
- Component reuse planning
- Cross-functional simulation
- Automation feasibility review
- Final review package
How this maps to your situation
- Delivering analytics under audit scrutiny
- Designing systems with compliance by default
- Responding to regulatory or internal review requests
- Building analytics that last beyond one-off use
Before vs. after
Before
Designs require rework to meet compliance review standards; documentation is assembled reactively.
After
Artefacts are built with audit and reuse in mind from day one, reducing downstream friction and elevating strategic contribution.
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 3-4 hours per module, with self-paced completion over 6-8 weeks recommended.
How this compares to the alternatives
Unlike generic data governance courses, this program focuses specifically on the intersection of analytics development and regulatory expectations in financial services, giving you precise, actionable mastery rather than broad overviews.
Frequently asked
Is this course relevant for someone who doesn’t work in banking?
The course is tailored to financial services regulatory environments, particularly SEC, FINRA, and SR 11-7 expectations. Practitioners in other highly regulated sectors may adapt the frameworks, but the core context is financial analytics.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Are there video lessons or live sessions?
No. The course is entirely text-based with detailed written explanations, templates, and examples to support deep reading and implementation.
$199 one-time. Approximately 3-4 hours per module, with self-paced completion over 6-8 weeks recommended..
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