DAMA DMBoK Reference and Master Data Management Specialist Training in New Zealand

This 1-day DAMA DMBOK Data Management Specialist course addresses all required disciplines required for the Reference and Master Data (RMD) specialist exam by the international standard, DAMA Body of Knowledge (DMBOK2) and is aimed at individuals interested in developing concrete professionalism in the field of Data Management with a specialization in Reference and Master Data.

This course provides a solid foundation of the different information disciplines across the complete Reference and Master Data spectrum.

The RMD specialist course explores the essential concepts and techniques for managing reference and master data within organizations. This includes understanding the distinctions between reference data and master data. You'll delve into strategies for identifying, defining, and governing reference and master data elements to ensure consistency and integrity across systems and processes.

CDMP-DMF, DAMA DMBoK Data Management Fundamentals

Recommended prerequisites:

• CDMP-DMF - DAMA DMBoK Data Management Fundamentals

• Grasping the core concepts and importance of reference and master data within organizational data management strategies.
• Learning the distinctions between reference data and master data.
• Developing skills in identifying, defining, and categorizing reference and master data elements within organizational datasets.
• Understanding the role of data governance in managing reference and master data, including defining roles, responsibilities, and processes.
• Implementing processes and best practices to ensure data quality and consistency across reference and master data elements, systems, and processes.

Course Content

• Overview of reference and master data concepts, their significance in data management, and their impact on organizational processes.
• Understanding the differences between reference data and master data.
• Implementing processes and best practices to ensure data quality and consistency across reference and master data elements, systems, and processes.
• Leveraging metadata management practices to facilitate understanding, discovery, and governance of reference and master data.
• Techniques for integrating reference and master data across systems and processes to ensure data consistency and integrity.
• Tips and strategies for successfully completing DAMA certification exams in reference and master data.

Agenda of the Course

The course includes training, practice, and downloadable materials for the facilitation of learners. The main sections of the training are:

• Introduction
  Relations with other DAMA topics, drivers, goals, and principles.
• Essential concepts
  Differences between reference and master data, reference data, master data, and data sharing architecture.
• Activities
  Define drivers and requirements, assess data sources, define architectural approach, model data sets, define stewardship and maintenance processes, and establish data governance policies.
• Tools & Techniques
  Master data management tools, Reference data management tools.
• Implementation
  Monitor data movement, manage changes, data sharing agreements, and organization and cultural change.
• Governance
  Process controls, documentation, and metrics.

Benefits

There are several benefits of participating in the Reference and Master Data Specialist course. Some of them include:

• Learners get a solid foundation on reference and master data.
• Learners become certified reference and master data Specialists.
• Learners learn to understand the principal concepts and terminology.

This course is designed to facilitate the learning and understanding of learners about metadata management and its related concepts.