The British Academy for Training and Development offers this training program in Certified Data Management Professional (CDMP) to develop a structured and reliable understanding of modern data management practices. This course addresses the increasing demand for well-defined governance models, controlled data quality, and disciplined handling of information assets within organizations.

Participants are introduced to recognized concepts that support consistency, compliance, and accountability in managing data across its full lifecycle. The program focuses on building clarity around data roles, standards, and processes that contribute to effective decision-making and organizational performance. Emphasis is placed on aligning data management activities with business objectives while maintaining accuracy, security, and transparency. Through a comprehensive and professionally designed structure, the course prepares participants to operate confidently within data-driven environments and to support sustainable data management initiatives across various sectors.

Who Should Attend?

• Data professionals responsible for managing, governing, or maintaining organizational data assets.

• IT specialists involved in data architecture, integration, or information systems management.

• Business analysts and data stewards supporting reporting and data quality functions.

• Managers and team leaders overseeing data-related activities and strategies.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Define the fundamental concepts and standards of professional data management.

• Recognize governance structures and assigned data roles within organizations.

• Apply data quality principles to support accuracy and reliability.

• Explain data lifecycle stages and their organizational impact.

• Align data management practices with strategic business requirements.

• Overview of Data Management

  • Definition and scope of data management.

  • Value of data as a strategic resource.

  • Relationship between data and organizational performance.

• Data Management Standards and Models

  • Introduction to international data standards.

  • Core components of data management models.

  • Consistency and control in data practices.

• Data Governance Principles

  • Purpose and objectives of data governance.

  • Policy development and authority structures.

  • Accountability and decision rights for data.

• Roles and Responsibilities

  • Data ownership and stewardship concepts.

  • Coordination between business and technical roles.

  • Role alignment within governance frameworks.

• Managing Data Quality

  • Key dimensions of data quality.

  • Monitoring and control mechanisms.

  • Organizational risks related to poor data quality.

• Metadata Management Concepts

  • Business and technical metadata types.

  • Documentation and classification practices.

  • Supporting clarity and data understanding.

• Data Architecture Foundations

  • Logical and physical data structures.

  • Alignment with business processes.

  • Managing complexity across systems.

• Data Integration Approaches

  • Data flow and interoperability concepts.

  • Consistency across integrated data sources.

  • Supporting enterprise-wide data access.

• Data Security and Privacy Management

  • Access control and data protection principles.

  • Regulatory and compliance considerations.

  • Managing data-related risks.

• Data Lifecycle Management

  • Creation, usage, and maintenance stages.

  • Retention and archival requirements.

  • Controlled disposal of data assets.