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:

Key Learning Outcomes

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

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.

Data Management Professional Certification

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

Ready to Take the Next Step?

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FAQs

The course focuses on managing data as a strategic enterprise asset through governance, quality, security, and lifecycle controls. 

Yes. Data governance structures, accountability, and ethical data management are core components of the course. 

Yes. The course is designed for both technical and non-technical professionals involved in data oversight and decision-making. 

Yes. Data security, risk assessment, and protection of information assets are key focus areas. 

Absolutely. The data management principles covered are applicable across sectors and organisational environments. 

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