Data Management Fundamentals


This course addresses ALL the Information Management disciplines as defined in the International Industry standard, DAMA body of knowledge (DMBoK) v2. Taught by an industry recognized DAMA DMBoK (2.0) author and CDMP (Fellow) this course provides a solid foundation of the different information disciplines across the complete Information Management spectrum.

This course provides you with the knowledge, methods and techniques required to analyse, mature and implement information management solutions within your organisation. It affords a solid grounding in all the different disciplines of Data Management. Students will understand and revise the major syllabus points, attempt practice questions in preparation for sitting examinations. In addition, students will gain familiarity with the CDMP examination format, the types of questions and the most appropriate way of answering them.

The course will conclude with taking the live Data Management Fundamentals examination, enabling students to leave this course having attained their CDMP (Associate) professional certification.

What you will learn

Level set understanding & terminology:

  • Learn about the need for and the application of Information Management disciplines for different categories of challenges
  • Explore an Information Management framework and understand how it aligns with other architecture frameworks
  • Explore concepts such as lifecycle management, normalisation, dimensional modelling and data virtualisation and appreciate why they are important
  • Understand the critical roles of Master Data Management and Data Governance and how to effectively apply them

Pragmatic Learning

  • Learn the different MDM architectures, their suitability for different needs and how best to implement Master Data Management approaches
  • Understand the different facets (dimensions) of Data Quality and explore a workable Data Quality framework
  • Discover the major considerations for successful Data Governance and how it can be introduced in bite-sized pieces
  • Develop a set of usable techniques that can be applied to a range of information management challenges
  • Learn the best practices for managing Enterprise Information needs
  • Through practical examples, learn how to apply techniques in information architecture planning

Main Topics

  • Data Governance
  • Data Quality Management
  • Master and Reference Data Management
  • Data Warehousing & Business Intelligence Management
  • Data Modelling
  • Metadata Management
  • Data Integration & Interoperability
  • Data Architecture & Data Lifecycle Management
  • Data Risk Management, Security, Privacy & Regulatory compliance
  • Data Operations Management
  • Records & Content Management
  • Data Management Tools & Repository


03 - 05 May 2023




Online event
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