CDMP based on DAMA DMBoK

In this two-day training, you will explore the key concepts, processes and best practices from the Data Management Body of Knowledge (DMBoK). You gain a clear understanding of how data management is structured and how the different knowledge areas work together to make data reliable, accessible and usable. The training combines theory with practical examples and interactive exercises, so you see how organisations actually apply data management in practice.

What you learn

• The structure and organisation of the DAMA DMBoK.

• An overview of all data management knowledge areas.

• Best practices for data governance and organisation-wide data processes.

• The practical meaning of good data architecture, data quality and metadata management.

• How data management contributes to compliance, efficiency and business value.

• Typical roles, responsibilities and processes in a data management organisation.

• How to prepare for the CDMP Fundamentals exam.

After this course you will be able to:

• Explain the main concepts and knowledge areas of the DAMA DMBoK.

• Position data management within your organisation and governance structures.

• Recognise and describe key processes for data governance, data quality and metadata.

• Understand how data architecture, security and lifecycle management fit together.

• Identify roles and responsibilities needed for an effective data management function.

• Prepare yourself in a structured way for the CDMP Fundamentals exam.

For whom

• Data managers and data stewards.

• Data governance and compliance professionals.

• BI and analytics leaders.

• Enterprise and data architects.

• Project and program managers involved in data initiatives.

• Anyone who wants a solid, structured overview of professional data management.

Prerequisites

• General understanding of how data is used in organisations.

• Experience in a data-related, IT or business role is helpful, but not required.

• No prior DMBoK or CDMP knowledge is assumed.

Content (global program)

Day 1

• Introduction to DAMA, DMBoK and the CDMP framework.

• Structure of the DMBoK and the central role of data governance.

• Overview of core knowledge areas: data governance, data architecture, data modelling and design.

• Data quality management and metadata management in practice.

• Interactive exercises and examples from real organisations.

Day 2

• Additional knowledge areas: data security, data integration, master and reference data, data warehousing and BI, documents and content.

• Data management organisation: roles, responsibilities, processes and operating models.

• Data management and compliance: privacy, risk, regulation and policy.

• Translating DMBoK concepts to your own organisation.

• Exam preparation for CDMP Fundamentals and discussion of example questions.

• Wrap-up, Q&A and personal action points.