Certified Data Management Professional (CDMP)

Organisations today rely on trusted, well-managed data to drive analytics, regulatory compliance, digital transformation, and AI initiatives. Yet many still face challenges such as inconsistent definitions, poor data quality, unclear ownership, and fragmented systems. The CDMP certification provides a globally recognised, vendor-neutral framework for managing data as an enterprise asset, enabling professionals to address these challenges with confidence.

This course offers a practical, exam-aligned introduction to all 14 CDMP knowledge areas, including governance, quality, modelling, metadata, architecture, MDM, BI/DW, integration, security, and big data. Through structured explanations, hands-on workshops, and real-world examples, learners gain the skills to design and implement effective data management practices that support organisational goals.

Beyond exam preparation, this program helps participants build the capabilities needed to establish governance structures, improve data quality, manage metadata and lineage, design scalable architectures, and support data-driven decision-making. With focused coverage on the most heavily weighted exam topics, learners finish the course with both the knowledge and confidence required to succeed in the CDMP – Associate exam and contribute meaningful value to their organisations.

We bring senior data leaders as instructors-professionals who combine:

• Deep practical experience establishing data governance, quality, and architecture functions
  

• Cross-industry exposure (financial services, government, healthcare, telecom, retail, energy)
  

• Strong grounding in DMBoK® and enterprise best practices
  

• Clear, business-first communication that bridges executives, product, analytics, and IT

• Data Managers, Data Governance Leads, Data Stewards
  

• Business/Data Analysts, BI Developers, Data Engineers
  

• Solution/Enterprise Architects
  

• Data Product Managers and Analytics Leaders
  

• Anyone seeking a vendor-neutral foundation in data management and the CDMP - Associate credential

• Familiarity with organisational data/analytics initiatives
  

• Basic understanding of databases, metadata, and data lifecycle concepts
  

• (Helpful but not required) Exposure to governance, quality, or architecture practices

Upon completion, learners will be able to:

• Explain the DMBoK® functional areas and how they integrate into a cohesive data operating model
  

• Establish data governance structures (roles, councils, policies, stewardship, decision rights)
  

• Define and execute data quality controls (dimensions, rules, metrics, issues management)
  

• Model data using conceptual, logical, and physical techniques; align models with business glossaries
  

• Design foundational data architecture (domains, platforms, integration styles, lineage)
  

• Implement metadata management (technical, business, operational) and catalog usage patterns
  

• Plan MDM/Reference Data approaches (domains, matching/merging, mastering patterns)
  

• Address data security & privacy (classification, protection, access, compliance)
  

• Develop roadmaps, business cases, and KPIs for sustainable data management capabilities
  

• Prepare effectively for the CDMP – Associate exam using targeted practice and exam-style drills

Implementing disciplined data management drives measurable benefits across risk, compliance, and value delivery. This course enables teams to:

• Increase trust in data via governance, quality, and lineage
  

• Reduce risk and compliance exposure through controls and accountability
  

• Accelerate analytics & AI with standardized, reusable, welldefined data assets
  

• Optimize costs by reducing duplication and rework across data platforms and projects
  

• Improve timetoinsight with curated, cataloged, and productized datasets
  

• Align business & IT via shared definitions, stewardship, and decision rights
  

• Sustain capability with clear operating models, metrics, and continuous improvement

Ideal for:

Public enrolment

Corporate teams (customisable schedule and labs)

Industry-specific adaptations (finance, government, healthcare, retail)