Mastering Informatica MDM Advanced Data Governance and Integration Strategies
You’re under pressure. Data chaos is spreading across departments, compliance risks are rising, and stakeholders are demanding clarity, control, and results. You know Informatica MDM holds the key, but unlocking its full power for enterprise-wide governance and integration feels out of reach. Legacy training oversimplifies, skips critical workflows, or drowns you in theory with no real execution path. You need more than just technical walkthroughs - you need strategy, precision, and a structured framework that turns MDM from a cost centre into a board-level asset. The Mastering Informatica MDM Advanced Data Governance and Integration Strategies course is engineered for professionals like you - data architects, MDM leads, and governance officers who must move fast, lead confidently, and deliver measurable outcomes. This is not generic training. One learner, Priya M, Senior Data Steward at a global financial institution, used this training to reduce her organisation's customer data reconciliation cycle from 14 days to 48 hours, earning direct recognition from the CDO and accelerating her promotion to Data Governance Lead. This course delivers a clear, repeatable blueprint to go from fragmented data landscapes to a governed, integrated, and audit-ready MDM environment in under 5 weeks - with a fully documented implementation strategy you can present to leadership. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced, Immediate Online Access - Learn on Your Terms
This is a fully self-paced course with on-demand access. Enrol once, start anytime, and progress at your own speed - no fixed schedules, no missed live sessions, no rigid timelines. Most learners complete the programme in 4 to 6 weeks, dedicating 4–6 hours per week. However, many report immediate application of concepts within the first 72 hours, delivering tangible improvements in metadata mapping accuracy, stewardship workflows, and integration latency. Lifetime Access & Continuous Updates
Once enrolled, you receive lifetime access to all course materials. This includes every update, refinement, and emerging best practice published for Informatica MDM - at no additional cost. As Informatica evolves, so does your knowledge. Access is available 24/7 from any device. The platform is mobile-friendly, enabling focused learning during travel, commutes, or late-night deep work sessions without compromising readability or navigation. Expert-Led Guidance & Direct Support
You are not learning in isolation. This course includes structured instructor support via an integrated guidance system. Submit process design queries, schema validation questions, or governance policy drafts, and receive actionable feedback from certified Informatica MDM architects with 10+ years of deployment experience. Support is designed to accelerate real-world implementation, not just theoretical understanding. Whether you’re configuring match rules, tuning golden record algorithms, or aligning MDM workflows with GDPR, you’ll get precise, context-aware responses. Certificate of Completion Issued by The Art of Service
Upon finishing the course, you earn a formal Certificate of Completion issued by The Art of Service - a globally recognised credential trusted by over 12,000 enterprises, listed on professional profiles, and cited in internal promotion packages. This certificate validates your mastery of enterprise-grade MDM implementation, advanced data governance frameworks, and cross-system integration strategies - a differentiator in job reviews, contract bids, and internal project allocations. Transparent, One-Time Pricing - No Hidden Fees
Pricing is straightforward. One payment. No recurring charges, hidden fees, or upsells. You pay once, gain lifetime access, and receive all future updates automatically. - Visa
- Mastercard
- PayPal
All major payment methods are accepted with secure encryption and globally compliant processing. Zero-Risk Enrollment: 30-Day Satisfied-or-Refunded Guarantee
If you complete the first two modules and determine the course does not meet your expectations for depth, clarity, or practical utility, contact support within 30 days for a full refund. No forms, no hoops, no hesitation. This is our promise: you will either master advanced Informatica MDM integration and governance, or you don’t pay. Enrollment Confirmation & Access Flow
After enrolment, you’ll receive a confirmation email. Once the system verifies your registration, your personal access details will be sent in a separate email with login instructions, course navigation tips, and setup guidance. Delivery is reliable and trackable, with support available if you do not receive your access within the expected window. “Will This Work for Me?” - Addressing Your Biggest Concern
You might be thinking: “I’ve tried other training. Why will this be different?” This works even if you’ve struggled with Informatica’s complexity before, even if your environment spans hybrid clouds, even if your governance teams lack alignment, and even if your last integration failed due to data latency or poor metadata traceability. Our learners include: - Enterprise Data Architects at Fortune 500 firms who’ve used this course to standardise 12+ source systems into a single MDM hub
- Healthcare Compliance Officers who've implemented audit-proof data lineage tracking across patient records
- Lead Integration Engineers who reduced reconciliation errors by 94% using the conflict resolution frameworks covered in Module 5
This course is built on real deployment patterns - not idealised scenarios. It works because it’s engineered for the messy reality of enterprise data.
Module 1: Foundations of Enterprise MDM and Data Governance - Understanding the business imperative for MDM in complex organisations
- Defining key MDM components: hub, match, merge, survivorship, stewardship
- Overview of Informatica MDM architecture and deployment models
- Core principles of data governance aligned with MDM strategy
- Identifying critical data domains: customer, product, supplier, location
- Building a business case for MDM investment and stakeholder alignment
- Precision vs. recall in entity resolution: trade-offs and business impact
- Data quality KPIs and their integration with MDM workflows
- Role of metadata management in sustainable governance
- Common MDM implementation failure patterns and how to avoid them
Module 2: Informatica MDM Platform Deep Dive - MDM Hub architecture: physical and logical layer breakdown
- Understanding landing, staging, base, and cleansed object layers
- Navigating the Informatica Administrator Console with expert precision
- Configuring data models for custom entity types and attributes
- Working with hierarchy management and parent-child relationships
- Setting up data stewards and role-based access control (RBAC)
- Utilising query templates and reconciliation views for efficient discovery
- Process configuration: workflows, events, actions, and timers
- Customising dashboards for real-time stewardship oversight
- Implementing data versioning and change tracking protocols
Module 3: Advanced Data Modelling and Schema Design - Designing scalable, future-proof data models in Informatica MDM
- Best practices for attribute naming, data typing, and null handling
- Implementing extensible schema patterns using dynamic attributes
- Mastering cross-reference (XREF) tables for integration traceability
- Creating custom hierarchies for organisational and product taxonomies
- Designing multi-domain models with clean separation of concerns
- Schema versioning and backward compatibility strategies
- Validating model integrity with built-in diagnostics and reports
- Using metadata documentation to ensure model clarity and auditability
- Optimising model performance for high-volume transaction environments
Module 4: Match and Merge Logic Mastery - Fundamentals of fuzzy matching: algorithms, thresholds, and weights
- Configuring match rules for customer, product, and supplier domains
- Designing multi-pass matching strategies for incremental accuracy
- Advanced use of match tokens: phonetic, substring, and date logic
- Building custom match parsers for legacy system data inputs
- Testing match rules with controlled data sets and edge cases
- Analysing match results using reconciliation reports and decision logs
- Survivorship rule design: business-driven vs. system-driven logic
- Configuring merge workflows with manual and automated approval paths
- Handling merged record rollbacks and data recovery scenarios
Module 5: Data Stewardship and Operational Governance - Designing effective data stewardship roles and responsibilities
- Configuring stewardship queues and priority-based workflows
- Building exception handling rules for invalid, duplicate, and incomplete records
- Implementing data quality dashboards for steward oversight
- Creating guided resolution paths for common data issues
- Integrating stewardship with IT service management (ITSM) tools
- Documenting governance decisions for audit and compliance reporting
- Automating stewardship escalations based on SLA thresholds
- Measuring steward productivity and resolution accuracy
- Linking steward actions to data lineage and change impact analysis
Module 6: Data Integration and ETL Design Patterns - Overview of integration touchpoints: source systems, MDM hub, consumers
- Designing idempotent, fault-tolerant ETL jobs for MDM ingestion
- Using Informatica PowerCenter for seamless data pipeline orchestration
- Batch vs real-time integration: use case selection and trade-offs
- Change data capture (CDC) strategies for source system synchronisation
- Data transformation rules within ETL for cleansing and standardisation
- Handling high-latency sources with staging and retry mechanisms
- Designing recovery paths for failed integration batches
- Implementing data validation gates before ingestion into the hub
- Using checksums and hash keys for data integrity verification
Module 7: Real-Time Data Synchronisation and APIs - Exposing MDM data via REST and SOAP APIs for downstream consumers
- Designing consumer-specific data views and filtered responses
- Securing APIs using OAuth, API keys, and role-based access
- Implementing rate limiting and throttling for production stability
- Caching strategies for high-frequency query optimisation
- Event-driven MDM: publishing change notifications via messaging
- Integrating with Kafka and JMS for real-time data propagation
- Designing webhook endpoints for upstream system updates
- Monitoring API performance and error rates with logging systems
- Versioning APIs to support evolving consumer requirements
Module 8: Data Quality and Profiling for MDM Readiness - Assessing source system data quality before MDM onboarding
- Using Informatica Data Quality (IDQ) for profiling and cleansing
- Defining data quality rules: format, completeness, consistency, validity
- Creating standardisation rules for names, addresses, and codes
- Linking DQ rules to MDM ingestion gateways
- Generating data quality scorecards for executive reporting
- Automating DQ checks within integration pipelines
- Tracking DQ trend analysis over time for improvement initiatives
- Integrating DQ with match logic to improve golden record accuracy
- Using DQ insights to prioritise data cleansing initiatives
Module 9: Governance Frameworks and Policy Design - Developing a formal data governance charter aligned with MDM
- Establishing data governance committees and decision rights
- Creating data policies for ownership, stewardship, and usage
- Defining escalation paths for policy violations and disputes
- Documentation standards for policies, procedures, and decisions
- Integrating policies into MDM workflows as enforceable rules
- Conducting governance audits and compliance assessments
- Linking governance outcomes to business KPIs and risk reduction
- Using policy change management for continuous improvement
- Measuring governance maturity using industry benchmarks
Module 10: Security, Compliance, and Auditability - Implementing role-based access control (RBAC) in MDM
- Configuring data masking for sensitive fields like PII and PCI
- Enforcing segregation of duties across data operations
- Meeting compliance requirements: GDPR, CCPA, HIPAA, SOX
- Generating audit trails for record creation, modification, and deletion
- Exporting audit logs for SIEM and GRC tool integration
- Designing data retention and archival policies
- Handling right-to-be-forgotten (RTBF) requests through MDM workflows
- Securing deployment environments: firewalls, encryption, and access logs
- Conducting third-party security assessments and penetration tests
Module 11: Performance Tuning and Scalability - Analysing MDM system performance bottlenecks
- Tuning database indexes for match, search, and retrieval operations
- Optimising match process execution time with parallel processing
- Scaling MDM hubs for high-volume transaction loads
- Monitoring system health with built-in performance views
- Configuring caching layers for frequently accessed records
- Load testing strategies for pre-production environments
- Right-sizing hardware and cloud resources for cost-performance balance
- Using partitioning and sharding for large data sets
- Planning for peak load scenarios and business cycle demands
Module 12: Master Data Distribution and Consumption - Designing downstream consumption patterns from the MDM hub
- Building golden record distribution pipelines via batch and API
- Versioning distributed data for traceability and rollback
- Handling consumer feedback loops and reconciliation discrepancies
- Creating data subscriptions for real-time push models
- Validating data consistency across consuming applications
- Implementing data drift detection and alerting mechanisms
- Managing data version conflicts during system upgrades
- Monitoring consumption SLAs and delivery success rates
- Documenting data lineage from source to consumer application
Module 13: Industry-Specific MDM Use Cases - Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Understanding the business imperative for MDM in complex organisations
- Defining key MDM components: hub, match, merge, survivorship, stewardship
- Overview of Informatica MDM architecture and deployment models
- Core principles of data governance aligned with MDM strategy
- Identifying critical data domains: customer, product, supplier, location
- Building a business case for MDM investment and stakeholder alignment
- Precision vs. recall in entity resolution: trade-offs and business impact
- Data quality KPIs and their integration with MDM workflows
- Role of metadata management in sustainable governance
- Common MDM implementation failure patterns and how to avoid them
Module 2: Informatica MDM Platform Deep Dive - MDM Hub architecture: physical and logical layer breakdown
- Understanding landing, staging, base, and cleansed object layers
- Navigating the Informatica Administrator Console with expert precision
- Configuring data models for custom entity types and attributes
- Working with hierarchy management and parent-child relationships
- Setting up data stewards and role-based access control (RBAC)
- Utilising query templates and reconciliation views for efficient discovery
- Process configuration: workflows, events, actions, and timers
- Customising dashboards for real-time stewardship oversight
- Implementing data versioning and change tracking protocols
Module 3: Advanced Data Modelling and Schema Design - Designing scalable, future-proof data models in Informatica MDM
- Best practices for attribute naming, data typing, and null handling
- Implementing extensible schema patterns using dynamic attributes
- Mastering cross-reference (XREF) tables for integration traceability
- Creating custom hierarchies for organisational and product taxonomies
- Designing multi-domain models with clean separation of concerns
- Schema versioning and backward compatibility strategies
- Validating model integrity with built-in diagnostics and reports
- Using metadata documentation to ensure model clarity and auditability
- Optimising model performance for high-volume transaction environments
Module 4: Match and Merge Logic Mastery - Fundamentals of fuzzy matching: algorithms, thresholds, and weights
- Configuring match rules for customer, product, and supplier domains
- Designing multi-pass matching strategies for incremental accuracy
- Advanced use of match tokens: phonetic, substring, and date logic
- Building custom match parsers for legacy system data inputs
- Testing match rules with controlled data sets and edge cases
- Analysing match results using reconciliation reports and decision logs
- Survivorship rule design: business-driven vs. system-driven logic
- Configuring merge workflows with manual and automated approval paths
- Handling merged record rollbacks and data recovery scenarios
Module 5: Data Stewardship and Operational Governance - Designing effective data stewardship roles and responsibilities
- Configuring stewardship queues and priority-based workflows
- Building exception handling rules for invalid, duplicate, and incomplete records
- Implementing data quality dashboards for steward oversight
- Creating guided resolution paths for common data issues
- Integrating stewardship with IT service management (ITSM) tools
- Documenting governance decisions for audit and compliance reporting
- Automating stewardship escalations based on SLA thresholds
- Measuring steward productivity and resolution accuracy
- Linking steward actions to data lineage and change impact analysis
Module 6: Data Integration and ETL Design Patterns - Overview of integration touchpoints: source systems, MDM hub, consumers
- Designing idempotent, fault-tolerant ETL jobs for MDM ingestion
- Using Informatica PowerCenter for seamless data pipeline orchestration
- Batch vs real-time integration: use case selection and trade-offs
- Change data capture (CDC) strategies for source system synchronisation
- Data transformation rules within ETL for cleansing and standardisation
- Handling high-latency sources with staging and retry mechanisms
- Designing recovery paths for failed integration batches
- Implementing data validation gates before ingestion into the hub
- Using checksums and hash keys for data integrity verification
Module 7: Real-Time Data Synchronisation and APIs - Exposing MDM data via REST and SOAP APIs for downstream consumers
- Designing consumer-specific data views and filtered responses
- Securing APIs using OAuth, API keys, and role-based access
- Implementing rate limiting and throttling for production stability
- Caching strategies for high-frequency query optimisation
- Event-driven MDM: publishing change notifications via messaging
- Integrating with Kafka and JMS for real-time data propagation
- Designing webhook endpoints for upstream system updates
- Monitoring API performance and error rates with logging systems
- Versioning APIs to support evolving consumer requirements
Module 8: Data Quality and Profiling for MDM Readiness - Assessing source system data quality before MDM onboarding
- Using Informatica Data Quality (IDQ) for profiling and cleansing
- Defining data quality rules: format, completeness, consistency, validity
- Creating standardisation rules for names, addresses, and codes
- Linking DQ rules to MDM ingestion gateways
- Generating data quality scorecards for executive reporting
- Automating DQ checks within integration pipelines
- Tracking DQ trend analysis over time for improvement initiatives
- Integrating DQ with match logic to improve golden record accuracy
- Using DQ insights to prioritise data cleansing initiatives
Module 9: Governance Frameworks and Policy Design - Developing a formal data governance charter aligned with MDM
- Establishing data governance committees and decision rights
- Creating data policies for ownership, stewardship, and usage
- Defining escalation paths for policy violations and disputes
- Documentation standards for policies, procedures, and decisions
- Integrating policies into MDM workflows as enforceable rules
- Conducting governance audits and compliance assessments
- Linking governance outcomes to business KPIs and risk reduction
- Using policy change management for continuous improvement
- Measuring governance maturity using industry benchmarks
Module 10: Security, Compliance, and Auditability - Implementing role-based access control (RBAC) in MDM
- Configuring data masking for sensitive fields like PII and PCI
- Enforcing segregation of duties across data operations
- Meeting compliance requirements: GDPR, CCPA, HIPAA, SOX
- Generating audit trails for record creation, modification, and deletion
- Exporting audit logs for SIEM and GRC tool integration
- Designing data retention and archival policies
- Handling right-to-be-forgotten (RTBF) requests through MDM workflows
- Securing deployment environments: firewalls, encryption, and access logs
- Conducting third-party security assessments and penetration tests
Module 11: Performance Tuning and Scalability - Analysing MDM system performance bottlenecks
- Tuning database indexes for match, search, and retrieval operations
- Optimising match process execution time with parallel processing
- Scaling MDM hubs for high-volume transaction loads
- Monitoring system health with built-in performance views
- Configuring caching layers for frequently accessed records
- Load testing strategies for pre-production environments
- Right-sizing hardware and cloud resources for cost-performance balance
- Using partitioning and sharding for large data sets
- Planning for peak load scenarios and business cycle demands
Module 12: Master Data Distribution and Consumption - Designing downstream consumption patterns from the MDM hub
- Building golden record distribution pipelines via batch and API
- Versioning distributed data for traceability and rollback
- Handling consumer feedback loops and reconciliation discrepancies
- Creating data subscriptions for real-time push models
- Validating data consistency across consuming applications
- Implementing data drift detection and alerting mechanisms
- Managing data version conflicts during system upgrades
- Monitoring consumption SLAs and delivery success rates
- Documenting data lineage from source to consumer application
Module 13: Industry-Specific MDM Use Cases - Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Designing scalable, future-proof data models in Informatica MDM
- Best practices for attribute naming, data typing, and null handling
- Implementing extensible schema patterns using dynamic attributes
- Mastering cross-reference (XREF) tables for integration traceability
- Creating custom hierarchies for organisational and product taxonomies
- Designing multi-domain models with clean separation of concerns
- Schema versioning and backward compatibility strategies
- Validating model integrity with built-in diagnostics and reports
- Using metadata documentation to ensure model clarity and auditability
- Optimising model performance for high-volume transaction environments
Module 4: Match and Merge Logic Mastery - Fundamentals of fuzzy matching: algorithms, thresholds, and weights
- Configuring match rules for customer, product, and supplier domains
- Designing multi-pass matching strategies for incremental accuracy
- Advanced use of match tokens: phonetic, substring, and date logic
- Building custom match parsers for legacy system data inputs
- Testing match rules with controlled data sets and edge cases
- Analysing match results using reconciliation reports and decision logs
- Survivorship rule design: business-driven vs. system-driven logic
- Configuring merge workflows with manual and automated approval paths
- Handling merged record rollbacks and data recovery scenarios
Module 5: Data Stewardship and Operational Governance - Designing effective data stewardship roles and responsibilities
- Configuring stewardship queues and priority-based workflows
- Building exception handling rules for invalid, duplicate, and incomplete records
- Implementing data quality dashboards for steward oversight
- Creating guided resolution paths for common data issues
- Integrating stewardship with IT service management (ITSM) tools
- Documenting governance decisions for audit and compliance reporting
- Automating stewardship escalations based on SLA thresholds
- Measuring steward productivity and resolution accuracy
- Linking steward actions to data lineage and change impact analysis
Module 6: Data Integration and ETL Design Patterns - Overview of integration touchpoints: source systems, MDM hub, consumers
- Designing idempotent, fault-tolerant ETL jobs for MDM ingestion
- Using Informatica PowerCenter for seamless data pipeline orchestration
- Batch vs real-time integration: use case selection and trade-offs
- Change data capture (CDC) strategies for source system synchronisation
- Data transformation rules within ETL for cleansing and standardisation
- Handling high-latency sources with staging and retry mechanisms
- Designing recovery paths for failed integration batches
- Implementing data validation gates before ingestion into the hub
- Using checksums and hash keys for data integrity verification
Module 7: Real-Time Data Synchronisation and APIs - Exposing MDM data via REST and SOAP APIs for downstream consumers
- Designing consumer-specific data views and filtered responses
- Securing APIs using OAuth, API keys, and role-based access
- Implementing rate limiting and throttling for production stability
- Caching strategies for high-frequency query optimisation
- Event-driven MDM: publishing change notifications via messaging
- Integrating with Kafka and JMS for real-time data propagation
- Designing webhook endpoints for upstream system updates
- Monitoring API performance and error rates with logging systems
- Versioning APIs to support evolving consumer requirements
Module 8: Data Quality and Profiling for MDM Readiness - Assessing source system data quality before MDM onboarding
- Using Informatica Data Quality (IDQ) for profiling and cleansing
- Defining data quality rules: format, completeness, consistency, validity
- Creating standardisation rules for names, addresses, and codes
- Linking DQ rules to MDM ingestion gateways
- Generating data quality scorecards for executive reporting
- Automating DQ checks within integration pipelines
- Tracking DQ trend analysis over time for improvement initiatives
- Integrating DQ with match logic to improve golden record accuracy
- Using DQ insights to prioritise data cleansing initiatives
Module 9: Governance Frameworks and Policy Design - Developing a formal data governance charter aligned with MDM
- Establishing data governance committees and decision rights
- Creating data policies for ownership, stewardship, and usage
- Defining escalation paths for policy violations and disputes
- Documentation standards for policies, procedures, and decisions
- Integrating policies into MDM workflows as enforceable rules
- Conducting governance audits and compliance assessments
- Linking governance outcomes to business KPIs and risk reduction
- Using policy change management for continuous improvement
- Measuring governance maturity using industry benchmarks
Module 10: Security, Compliance, and Auditability - Implementing role-based access control (RBAC) in MDM
- Configuring data masking for sensitive fields like PII and PCI
- Enforcing segregation of duties across data operations
- Meeting compliance requirements: GDPR, CCPA, HIPAA, SOX
- Generating audit trails for record creation, modification, and deletion
- Exporting audit logs for SIEM and GRC tool integration
- Designing data retention and archival policies
- Handling right-to-be-forgotten (RTBF) requests through MDM workflows
- Securing deployment environments: firewalls, encryption, and access logs
- Conducting third-party security assessments and penetration tests
Module 11: Performance Tuning and Scalability - Analysing MDM system performance bottlenecks
- Tuning database indexes for match, search, and retrieval operations
- Optimising match process execution time with parallel processing
- Scaling MDM hubs for high-volume transaction loads
- Monitoring system health with built-in performance views
- Configuring caching layers for frequently accessed records
- Load testing strategies for pre-production environments
- Right-sizing hardware and cloud resources for cost-performance balance
- Using partitioning and sharding for large data sets
- Planning for peak load scenarios and business cycle demands
Module 12: Master Data Distribution and Consumption - Designing downstream consumption patterns from the MDM hub
- Building golden record distribution pipelines via batch and API
- Versioning distributed data for traceability and rollback
- Handling consumer feedback loops and reconciliation discrepancies
- Creating data subscriptions for real-time push models
- Validating data consistency across consuming applications
- Implementing data drift detection and alerting mechanisms
- Managing data version conflicts during system upgrades
- Monitoring consumption SLAs and delivery success rates
- Documenting data lineage from source to consumer application
Module 13: Industry-Specific MDM Use Cases - Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Designing effective data stewardship roles and responsibilities
- Configuring stewardship queues and priority-based workflows
- Building exception handling rules for invalid, duplicate, and incomplete records
- Implementing data quality dashboards for steward oversight
- Creating guided resolution paths for common data issues
- Integrating stewardship with IT service management (ITSM) tools
- Documenting governance decisions for audit and compliance reporting
- Automating stewardship escalations based on SLA thresholds
- Measuring steward productivity and resolution accuracy
- Linking steward actions to data lineage and change impact analysis
Module 6: Data Integration and ETL Design Patterns - Overview of integration touchpoints: source systems, MDM hub, consumers
- Designing idempotent, fault-tolerant ETL jobs for MDM ingestion
- Using Informatica PowerCenter for seamless data pipeline orchestration
- Batch vs real-time integration: use case selection and trade-offs
- Change data capture (CDC) strategies for source system synchronisation
- Data transformation rules within ETL for cleansing and standardisation
- Handling high-latency sources with staging and retry mechanisms
- Designing recovery paths for failed integration batches
- Implementing data validation gates before ingestion into the hub
- Using checksums and hash keys for data integrity verification
Module 7: Real-Time Data Synchronisation and APIs - Exposing MDM data via REST and SOAP APIs for downstream consumers
- Designing consumer-specific data views and filtered responses
- Securing APIs using OAuth, API keys, and role-based access
- Implementing rate limiting and throttling for production stability
- Caching strategies for high-frequency query optimisation
- Event-driven MDM: publishing change notifications via messaging
- Integrating with Kafka and JMS for real-time data propagation
- Designing webhook endpoints for upstream system updates
- Monitoring API performance and error rates with logging systems
- Versioning APIs to support evolving consumer requirements
Module 8: Data Quality and Profiling for MDM Readiness - Assessing source system data quality before MDM onboarding
- Using Informatica Data Quality (IDQ) for profiling and cleansing
- Defining data quality rules: format, completeness, consistency, validity
- Creating standardisation rules for names, addresses, and codes
- Linking DQ rules to MDM ingestion gateways
- Generating data quality scorecards for executive reporting
- Automating DQ checks within integration pipelines
- Tracking DQ trend analysis over time for improvement initiatives
- Integrating DQ with match logic to improve golden record accuracy
- Using DQ insights to prioritise data cleansing initiatives
Module 9: Governance Frameworks and Policy Design - Developing a formal data governance charter aligned with MDM
- Establishing data governance committees and decision rights
- Creating data policies for ownership, stewardship, and usage
- Defining escalation paths for policy violations and disputes
- Documentation standards for policies, procedures, and decisions
- Integrating policies into MDM workflows as enforceable rules
- Conducting governance audits and compliance assessments
- Linking governance outcomes to business KPIs and risk reduction
- Using policy change management for continuous improvement
- Measuring governance maturity using industry benchmarks
Module 10: Security, Compliance, and Auditability - Implementing role-based access control (RBAC) in MDM
- Configuring data masking for sensitive fields like PII and PCI
- Enforcing segregation of duties across data operations
- Meeting compliance requirements: GDPR, CCPA, HIPAA, SOX
- Generating audit trails for record creation, modification, and deletion
- Exporting audit logs for SIEM and GRC tool integration
- Designing data retention and archival policies
- Handling right-to-be-forgotten (RTBF) requests through MDM workflows
- Securing deployment environments: firewalls, encryption, and access logs
- Conducting third-party security assessments and penetration tests
Module 11: Performance Tuning and Scalability - Analysing MDM system performance bottlenecks
- Tuning database indexes for match, search, and retrieval operations
- Optimising match process execution time with parallel processing
- Scaling MDM hubs for high-volume transaction loads
- Monitoring system health with built-in performance views
- Configuring caching layers for frequently accessed records
- Load testing strategies for pre-production environments
- Right-sizing hardware and cloud resources for cost-performance balance
- Using partitioning and sharding for large data sets
- Planning for peak load scenarios and business cycle demands
Module 12: Master Data Distribution and Consumption - Designing downstream consumption patterns from the MDM hub
- Building golden record distribution pipelines via batch and API
- Versioning distributed data for traceability and rollback
- Handling consumer feedback loops and reconciliation discrepancies
- Creating data subscriptions for real-time push models
- Validating data consistency across consuming applications
- Implementing data drift detection and alerting mechanisms
- Managing data version conflicts during system upgrades
- Monitoring consumption SLAs and delivery success rates
- Documenting data lineage from source to consumer application
Module 13: Industry-Specific MDM Use Cases - Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Exposing MDM data via REST and SOAP APIs for downstream consumers
- Designing consumer-specific data views and filtered responses
- Securing APIs using OAuth, API keys, and role-based access
- Implementing rate limiting and throttling for production stability
- Caching strategies for high-frequency query optimisation
- Event-driven MDM: publishing change notifications via messaging
- Integrating with Kafka and JMS for real-time data propagation
- Designing webhook endpoints for upstream system updates
- Monitoring API performance and error rates with logging systems
- Versioning APIs to support evolving consumer requirements
Module 8: Data Quality and Profiling for MDM Readiness - Assessing source system data quality before MDM onboarding
- Using Informatica Data Quality (IDQ) for profiling and cleansing
- Defining data quality rules: format, completeness, consistency, validity
- Creating standardisation rules for names, addresses, and codes
- Linking DQ rules to MDM ingestion gateways
- Generating data quality scorecards for executive reporting
- Automating DQ checks within integration pipelines
- Tracking DQ trend analysis over time for improvement initiatives
- Integrating DQ with match logic to improve golden record accuracy
- Using DQ insights to prioritise data cleansing initiatives
Module 9: Governance Frameworks and Policy Design - Developing a formal data governance charter aligned with MDM
- Establishing data governance committees and decision rights
- Creating data policies for ownership, stewardship, and usage
- Defining escalation paths for policy violations and disputes
- Documentation standards for policies, procedures, and decisions
- Integrating policies into MDM workflows as enforceable rules
- Conducting governance audits and compliance assessments
- Linking governance outcomes to business KPIs and risk reduction
- Using policy change management for continuous improvement
- Measuring governance maturity using industry benchmarks
Module 10: Security, Compliance, and Auditability - Implementing role-based access control (RBAC) in MDM
- Configuring data masking for sensitive fields like PII and PCI
- Enforcing segregation of duties across data operations
- Meeting compliance requirements: GDPR, CCPA, HIPAA, SOX
- Generating audit trails for record creation, modification, and deletion
- Exporting audit logs for SIEM and GRC tool integration
- Designing data retention and archival policies
- Handling right-to-be-forgotten (RTBF) requests through MDM workflows
- Securing deployment environments: firewalls, encryption, and access logs
- Conducting third-party security assessments and penetration tests
Module 11: Performance Tuning and Scalability - Analysing MDM system performance bottlenecks
- Tuning database indexes for match, search, and retrieval operations
- Optimising match process execution time with parallel processing
- Scaling MDM hubs for high-volume transaction loads
- Monitoring system health with built-in performance views
- Configuring caching layers for frequently accessed records
- Load testing strategies for pre-production environments
- Right-sizing hardware and cloud resources for cost-performance balance
- Using partitioning and sharding for large data sets
- Planning for peak load scenarios and business cycle demands
Module 12: Master Data Distribution and Consumption - Designing downstream consumption patterns from the MDM hub
- Building golden record distribution pipelines via batch and API
- Versioning distributed data for traceability and rollback
- Handling consumer feedback loops and reconciliation discrepancies
- Creating data subscriptions for real-time push models
- Validating data consistency across consuming applications
- Implementing data drift detection and alerting mechanisms
- Managing data version conflicts during system upgrades
- Monitoring consumption SLAs and delivery success rates
- Documenting data lineage from source to consumer application
Module 13: Industry-Specific MDM Use Cases - Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Developing a formal data governance charter aligned with MDM
- Establishing data governance committees and decision rights
- Creating data policies for ownership, stewardship, and usage
- Defining escalation paths for policy violations and disputes
- Documentation standards for policies, procedures, and decisions
- Integrating policies into MDM workflows as enforceable rules
- Conducting governance audits and compliance assessments
- Linking governance outcomes to business KPIs and risk reduction
- Using policy change management for continuous improvement
- Measuring governance maturity using industry benchmarks
Module 10: Security, Compliance, and Auditability - Implementing role-based access control (RBAC) in MDM
- Configuring data masking for sensitive fields like PII and PCI
- Enforcing segregation of duties across data operations
- Meeting compliance requirements: GDPR, CCPA, HIPAA, SOX
- Generating audit trails for record creation, modification, and deletion
- Exporting audit logs for SIEM and GRC tool integration
- Designing data retention and archival policies
- Handling right-to-be-forgotten (RTBF) requests through MDM workflows
- Securing deployment environments: firewalls, encryption, and access logs
- Conducting third-party security assessments and penetration tests
Module 11: Performance Tuning and Scalability - Analysing MDM system performance bottlenecks
- Tuning database indexes for match, search, and retrieval operations
- Optimising match process execution time with parallel processing
- Scaling MDM hubs for high-volume transaction loads
- Monitoring system health with built-in performance views
- Configuring caching layers for frequently accessed records
- Load testing strategies for pre-production environments
- Right-sizing hardware and cloud resources for cost-performance balance
- Using partitioning and sharding for large data sets
- Planning for peak load scenarios and business cycle demands
Module 12: Master Data Distribution and Consumption - Designing downstream consumption patterns from the MDM hub
- Building golden record distribution pipelines via batch and API
- Versioning distributed data for traceability and rollback
- Handling consumer feedback loops and reconciliation discrepancies
- Creating data subscriptions for real-time push models
- Validating data consistency across consuming applications
- Implementing data drift detection and alerting mechanisms
- Managing data version conflicts during system upgrades
- Monitoring consumption SLAs and delivery success rates
- Documenting data lineage from source to consumer application
Module 13: Industry-Specific MDM Use Cases - Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Analysing MDM system performance bottlenecks
- Tuning database indexes for match, search, and retrieval operations
- Optimising match process execution time with parallel processing
- Scaling MDM hubs for high-volume transaction loads
- Monitoring system health with built-in performance views
- Configuring caching layers for frequently accessed records
- Load testing strategies for pre-production environments
- Right-sizing hardware and cloud resources for cost-performance balance
- Using partitioning and sharding for large data sets
- Planning for peak load scenarios and business cycle demands
Module 12: Master Data Distribution and Consumption - Designing downstream consumption patterns from the MDM hub
- Building golden record distribution pipelines via batch and API
- Versioning distributed data for traceability and rollback
- Handling consumer feedback loops and reconciliation discrepancies
- Creating data subscriptions for real-time push models
- Validating data consistency across consuming applications
- Implementing data drift detection and alerting mechanisms
- Managing data version conflicts during system upgrades
- Monitoring consumption SLAs and delivery success rates
- Documenting data lineage from source to consumer application
Module 13: Industry-Specific MDM Use Cases - Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Customer MDM in banking: KYC, AML, and relationship hierarchies
- Product MDM in retail: SKU harmonisation, category trees, and pricing
- Supplier MDM in manufacturing: vendor compliance and risk scoring
- Patient MDM in healthcare: longitudinal records and care coordination
- Location MDM in logistics: geocoding, regions, and service zones
- Asset MDM in energy: equipment tracking and maintenance planning
- Financial instrument MDM in capital markets: ISINs, tickers, and pricing
- Part MDM in aerospace: serial tracking and regulatory traceability
- Employee MDM in HR systems: single source of truth for workforce data
- Cross-industry patterns: multi-domain MDM and shared services models
Module 14: Change Management and Organisational Adoption - Assessing organisational readiness for MDM transformation
- Developing a change communication plan for stakeholders
- Conducting training sessions for data stewards and business users
- Building executive sponsorship and visible leadership support
- Creating user feedback mechanisms and adoption metrics
- Addressing resistance through targeted education and pilot wins
- Measuring and reporting MDM adoption rates across departments
- Integrating MDM into standard operating procedures (SOPs)
- Recognising and rewarding early adopters and champions
- Establishing continuous improvement cycles for ongoing adoption
Module 15: Business Value Measurement and ROI Framework - Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Defining KPIs for MDM success: data accuracy, time-to-insight, cost
- Calculating cost of poor data and ROI of MDM initiatives
- Tracking duplicate record reduction and storage savings
- Measuring improvements in regulatory compliance and audit readiness
- Quantifying time saved in data reconciliation and reporting cycles
- Assessing customer experience impact from consistent data usage
- Reporting MDM value to CFOs, CDOs, and board members
- Linking MDM outcomes to strategic business objectives
- Creating executive dashboards for value visibility
- Building a business case for MDM expansion and phase 2 funding
Module 16: Advanced Integration Scenarios and Hybrid Architectures - Integrating MDM with SAP, Salesforce, Oracle, and Workday
- Designing hybrid MDM models: on-premise, cloud, and multi-cloud
- Using Informatica Cloud (IICS) for secure cross-environment sync
- Handling data sovereignty and residency requirements
- Implementing multi-MDM hub architectures for global enterprises
- Orchestrating data flow across regional and central hubs
- Managing time zone and language variations in master data
- Reconciling currency, tax, and legal entity differences
- Designing failover and disaster recovery for MDM environments
- Ensuring continuity during system migrations and upgrades
Module 17: Project Planning and Implementation Roadmap - Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics
Module 18: Certification Exam Preparation and Next Steps - Review of core concepts and advanced topics for mastery assessment
- Practice exercises for match rule configuration and governance design
- Simulated real-world scenarios for integration and conflict resolution
- Common pitfalls and how to avoid them during implementation
- Final checklist for project launch and go-live readiness
- Post-course career advancement strategies
- Adding your Certificate of Completion to LinkedIn and resumes
- Leveraging the credential in performance reviews and job interviews
- Joining the alumni network for ongoing peer support and insights
- Next steps: Informatica certification exams and advanced specialisations
- Phased rollout strategy: pilot, expansion, enterprise-wide
- Defining scope, timelines, and resource allocation for MDM projects
- Conducting stakeholder workshops for requirement gathering
- Creating a detailed project plan with milestones and dependencies
- Managing third-party vendors and consulting partners
- Setting up project governance and steering committee meetings
- Using Agile and hybrid methodologies for MDM delivery
- Conducting regular status reviews and risk assessments
- Documenting lessons learned and best practices
- Publishing project closure reports and success metrics