A CDMP credential is only worth having if you can actually run a data programme once you've got it. This Arab British Fellowship Training Academy course is built around that idea: it moves through the full CDMP syllabus—governance, architecture, modelling, integration, MDM, metadata, security and analytics—while keeping one eye on the exam and the other on what actually happens in a data team's daily work.

Attendees start with data governance and quality, the standards any organisation's data has to meet, before moving into the more structural side of the discipline: data architecture and modelling, where systems get designed to scale. From there the course covers how data moves and gets unified across an organisation—integration, interoperability, and Master Data Management—paired with metadata management as the discipline that keeps all of it organised and usable.

Data security and privacy get dedicated attention, including the regulatory landscape organisations now have to navigate, before the course closes with data analytics and business intelligence—how all of the above eventually turns into better decisions. By the end, attendees are ready to implement data management strategies in their own organisation.

Course Objectives

• Build strong knowledge of data management principles and practices, including governance, quality, architecture and security.
• Apply data integration, Master Data Management and metadata management effectively.
• Develop expertise in data analytics and business intelligence to support organisational decision-making.
• Cover all DMBoK areas—goals and principles, organisation and culture, activities, deliverables, practices, technology, and roles and responsibilities—and prepare for the CDMP Data Management Fundamentals examination.

Who Should Attend?

• Data professionals: data analysts, data scientists and data engineers.
• IT managers, business analysts and decision-makers looking to improve their data handling processes.
• Anyone seeking to build their qualifications in data management and related fields.
• Organisations wanting to train staff in modern data governance, analytics and security practices.

Module 1: Data as a Managed Asset: Foundations and Governance

• Why data management has become a formal discipline, and its role in modern organisations
• Key principles and frameworks in data management
• Data governance framework: ensuring accuracy, completeness and consistency, and implementing data-quality management systems

Module 2: Structuring Data: Architecture and Modeling

• Fundamentals of data architecture and designing scalable, effective data systems
• Tools and techniques for data architecture
• Data modeling: conceptual, logical and physical models, and best practices

Module 3: Connecting and Centralising Data

• Integrating different data sources, managing data flow across systems, and ensuring interoperability
• Master Data Management (MDM): centralised versus decentralised approaches, and implementing MDM strategies
• Metadata management: its importance, techniques, and using it to improve governance

Module 4: Protecting Data

• Protecting sensitive data and securing data assets
• Data security regulations and compliance (GDPR, CCPA)

Module 5: Turning Data into Decisions

• Leveraging data for strategic decision-making
• Tools for Business Intelligence (BI) and an introduction to data analytics in a business context

Module 6: Preparing for the CDMP Examination

• Reviewing the DMBoK areas: goals and principles, organisation and culture, activities, deliverables, practices and techniques, technology, roles and responsibilities
• Exam-focused review and preparation for the CDMP Data Management Fundamentals examination