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An Interactive 5-Day Training Course

Data Management Professional Certification

Establish trusted, governed, and value-driven enterprise data capabilities.

The Data Management Professional Certification training course develops structured capability in managing data as a strategic asset through governance, quality, security, and lifecycle controls that support informed decision-making and organisational performance.

Core Competencies:

Data Governance
Information Architecture
Data Quality Control
Security & Integrity

Course Schedule

02 - 06 Feb 2026

London

| $5950

04 - 08 May 2026

Amsterdam

| $5950

06 - 10 Jul 2026

Dubai

| $5950

17 - 21 Aug 2026

London

| $5950

19 - 23 Oct 2026

Dubai

| $5950

16 - 20 Nov 2026

Barcelona

| $5950

06 - 10 Jul 2026

Online

| $3950

16 - 20 Nov 2026

Online

| $3950

On this Page

Introduction Key Learning Outcomes Training Methodology Who Should Attend? Outline

Introduction

In today’s digital economy, data is a critical organisational asset that directly influences strategic decisions, operational efficiency, and competitive advantage. When data is accurate, consistent, and well-governed, it enables organisations to optimise performance and reduce risk. Conversely, poorly managed data exposes organisations to operational errors, regulatory issues, and flawed decision-making that can undermine value and trust.

The Data Management Professional Certification training course provides a comprehensive understanding of enterprise data management principles aligned with recognised industry frameworks. Participants explore how data governance, architecture, quality, security, and integration work together to support reliable information flows across the organisation. The course emphasises professionalism, accountability, and practical controls that enable organisations to manage data responsibly while supporting business growth, regulatory expectations, and long-term sustainability.

Key focus areas include:

Enterprise data management frameworks and processes
Data governance, ethics, and accountability
Data quality, modelling, and metadata management
Data security, integration, and lifecycle management

Key Learning Outcomes

At the end of this Data Management Professional Certification training course, participants will be able to:

Analyse enterprise data management frameworks and their business value
Evaluate data governance structures and ethical responsibilities
Apply data quality and data modelling principles across organisational systems
Strengthen data security and lifecycle management controls
Integrate master, reference, and enterprise data effectively
Improve organisational decision-making through reliable and governed data

Training Methodology

This Data Management Professional Certification training course adopts a practical and application-focused learning approach built around real-world data management challenges. Participants work with recognised frameworks, applied scenarios, and structured discussions to translate theory into effective enterprise practices. Emphasis is placed on professional judgement, governance alignment, and actionable data controls.

Who Should Attend?

This Data Management Professional Certification training course is ideal for:

Data and information management professionals
Data governance and data quality managers
Information architects and business analysts
Technology and digital transformation leaders
Risk, compliance, and assurance professionals
Professionals involved in enterprise data and analytics initiatives

Course Outline

Day 1

The Data Management Process, and Overview of the Certification

Overview of the certificate and its exam
Data management as a discipline
The purpose and scope of the DAMA International Data Management
Data Management drivers, benefits, and potential pitfalls
Enterprise Data Management Framework
Data Management Function

Day 2

Data Governance & Data Quality Management

The role of the Data Governance in successful Data Management
Key topic of Data Ethics & Compliance.
Understand the various Data Quality areas
Explore Data Quality policies and procedures
Linking Data Quality with other data disciplines
The major components to leverage reference and master data

Day 3

Data Warehouse, BI, Modeling & Metadata Management

Concept of Data warehousing & Business Intelligence (BI) management
Types of data warehouse and BI platforms
The fundamentals of Big Data
Features of Data Modeling
The differences between data and metadata usage, and implementation of metadata

Day 4

Data Architecture and Lifecycle Management, Data Security Management

The important types of architectures and proactive planning
The data value chain
Differences between lifecycles and systems development
The key goals of Data Security Management
Risk assessment & monitoring, of Data Security Management
Effective Document and Content Management

Day 5

Data Storage and Operations Management & Data Integration and Interoperability

The effective Data Storage’s components and Operations Management
Data Technology Management
Roles and responsibilities
Data, I&I practices, and the best solutions
Data interchange & data replication
Aligning within Data Governance and expanded Data Management activities

International Standards & Professional Alignment

Our training courses are aligned with internationally recognised professional standards and frameworks across leadership, strategy, finance, governance, risk, compliance, and audit. By integrating globally trusted models, we ensure learners develop practical, relevant, and industry-recognised capabilities.

Our trainings draw on leading international standards and professional frameworks, including ISO, ISACA, COSO, OECD, IIA, FATF, Basel, IFRS/ISSB, GRI, NIST, CPD, ILM and the OECD AI Principles. This alignment ensures consistency with global best practices across financial management, risk oversight, digital governance, sustainability, and strategic decision-making..

Designed in alignment with globally recognised professional bodies, our courses support continuous professional development, strengthen organisational capability, and provide clear pathways toward professional certifications valued worldwide.