Master Data Management (MDM) Training in Cape Town, South Africa by EduCore Global Skills

Module 1: Introduction to Master Data Management

Core competencies for Introduction to Master Data Management.

• What master data is, and how it differs from transactional and reference data
• Business drivers and the cost of poor data quality
• Core MDM domains: customer, product, supplier, location, and employee
• Key benefits: the “single source of truth” and the 360-degree view
• MDM vs. related disciplines: data warehousing, data lakes, and data governance

Module 2: MDM Strategy and Business Case

Core competencies for MDM Strategy and Business Case.

• Aligning MDM with business objectives and digital transformation goals
• Building a business case: ROI, cost-benefit analysis, and value drivers
• Assessing organizational readiness and data maturity
• Stakeholder identification, sponsorship, and change management
• Developing an MDM roadmap and phased implementation plan

Module 3: MDM Architecture and Implementation Styles

Core competencies for MDM Architecture and Implementation Styles.

• Registry, consolidation, coexistence, and centralized (transactional) styles
• Reference architecture components: hub, integration layer, and data stores
• On-premise, cloud, and hybrid deployment models
• Multi-domain vs. single-domain MDM approaches
• Integration patterns: batch, real-time, APIs, and event-driven messaging

Module 4: Data Governance for MDM

Core competencies for Data Governance for MDM.

• Governance frameworks and operating models
• Roles and responsibilities: data owners, stewards, and custodians
• Policies, standards, and decision rights
• Governance councils, workflows, and escalation processes
• Regulatory and compliance considerations: GDPR, CCPA, and industry-specific rules

Module 5: Data Modeling and Metadata Management

Core competencies for Data Modeling and Metadata Management.

• Conceptual, logical, and physical models for master data
• Designing entity hierarchies and relationships
• Golden record attributes and survivorship rules
• Business, technical, and operational metadata
• Data catalogs, glossaries, and lineage tracking

Module 6: Data Quality Management

Core competencies for Data Quality Management.

• Data quality dimensions: accuracy, completeness, consistency, timeliness, and uniqueness
• Data profiling and assessment techniques
• Cleansing, standardization, and enrichment
• Defining data quality rules, metrics, and scorecards
• Continuous monitoring and remediation workflows

Module 7: Data Integration, Matching, and Merging

Core competencies for Data Integration, Matching, and Merging.

• ETL/ELT processes and data ingestion from source systems
• Deterministic vs. probabilistic (fuzzy) matching techniques
• Duplicate detection, match thresholds, and tuning
• Merge rules, survivorship, and golden record creation
• Handling exceptions through manual review and data stewardship queues

Module 8: MDM Tools and Technology Landscape

Core competencies for MDM Tools and Technology Landscape.

• Overview of leading MDM platforms (Informatica, Reltio, Profisee, Stibo, SAP, and others)
• Evaluation criteria and vendor selection process
• Build vs. buy considerations and open-source options
• AI, machine learning, and automation in modern MDM
• Graph databases and knowledge graphs for relationship management

Module 9: Implementation, Operations, and Change Management

Core competencies for Implementation, Operations, and Change Management.

• Project methodology: agile, waterfall, and hybrid approaches
• Data migration, testing, and validation strategies
• Go-live planning, cutover, and hypercare support
• Operating model, support structures, and ongoing maintenance
• Training, user adoption, and communication planning

Module 10: Measuring Success, Trends, and Capstone

Core competencies for Measuring Success, Trends, and Capstone.

• KPIs and metrics for MDM performance and business value
• Security, privacy, access control, and consent management
• Emerging trends: MDM-as-a-service, data fabric, data mesh, and generative AI
• Case studies and lessons learned from real-world implementations
• Capstone project: designing an end-to-end MDM solution for a sample organization

How is Master Data Management (MDM) Training delivered?

Master Data Management (MDM) Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.

What are the fees for Master Data Management (MDM) Training?

The published course investment is KES 80,000 and USD 4,100. Location-specific fees are shown where configured.

How long is Master Data Management (MDM) Training?

Master Data Management (MDM) Training runs for 5 Days unless a customized corporate schedule is agreed.

Do participants receive a certificate for Master Data Management (MDM) Training?

Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.

Where can I take Master Data Management (MDM) Training?

Master Data Management (MDM) Training is available in Cape Town, South Africa. Current dates are shown only where real sessions have been configured.

Who should attend Master Data Management (MDM) Training?

Master Data Management (MDM) Training is designed for Data Analysts, Reporting Officers, M&E Officers, Finance Analysts, Operations Managers, Professionals and organizations that need practical capability in Data Science, AI, and Advanced Analytics.

What are the prerequisites for Master Data Management (MDM) Training?

No mandatory prerequisite is required unless stated in the course outline. Practical workplace experience in the subject area is helpful.