DAMA DMBoK Data Governance Specialist Training

Data is one of the most valuable assets within modern organizations. However, in order to unlock the full value of data, organizations must manage, protect, and govern their data effectively.

The DAMA DMBoK Data Governance Specialist course is based on the internationally recognized DAMA Body of Knowledge (DMBOK2) framework. It is designed for professionals who want to develop expertise in data governance and strengthen their understanding of modern data management practices.

During the course participants will:

• understand the principles of data governance

• explore core data management disciplines

• learn how to define policies and standards for data assets

• understand data quality, integrity, and security principles

This program provides a strong foundation for professionals pursuing careers in data governance.

Participants are recommended to have knowledge in the following areas before attending the course.

Required prerequisite

• CDMP-DMF – DAMA DMBoK Data Management Fundamentals

Recommended prerequisites

• data management fundamentals

• data governance concepts

• enterprise data management practices

Having this background helps participants gain the maximum benefit from the course.

By the end of the course participants will be able to:

• understand the key concepts of data governance

• define and implement data governance frameworks

• identify roles and responsibilities within governance structures

• understand data quality and metadata management processes

• evaluate regulatory requirements related to data governance

• measure and improve the effectiveness of governance programs

Introduction to Data Governance

This section introduces the fundamental concepts and benefits of data governance.

Topics include:

• core data governance principles

• benefits of governance programs

• relationship between data management and governance

Data Governance and Organizational Goals

This module explains how data governance supports business strategy.

Topics include:

• governance strategies

• aligning data governance with business goals

• governance principles

Roles and Responsibilities

Successful governance programs require clearly defined organizational roles.

Topics include:

• data owners

• data stewards

• governance committees

• governance responsibilities

Data Management Processes

This module explores key processes that support data governance.

Topics include:

• data quality management

• metadata management

• data access control

• data lifecycle management

Data Governance Tools and Technologies

This section introduces technologies used to support governance initiatives.

Examples include:

• data catalogs

• business glossaries

• workflow tools

• governance platforms

Compliance and Risk Management

Data governance programs must also address regulatory requirements.

Topics include:

• regulatory compliance

• risk mitigation strategies

• governance compliance processes

Data Stewardship

Data stewardship plays a central role in successful governance programs.

Topics include:

• stewardship roles

• stewardship responsibilities

• monitoring data quality

DAMA Certification Preparation

This section provides guidance for participants preparing for DAMA data governance certification.

Topics include:

• exam preparation strategies

• DAMA terminology

• reinforcing data governance concepts