Data Governance Fundamentals

Feb 2024
Feb 2024
20 February, 2024 to 21 February, 2024
09:00 to 17:00
2 days
Brussels element61 office
1.350 € (675€/day/participant)

Because of a lack of classroom training in the Belgian market, element61 has developed a training session on Data Governance. Details on the training objectives and target audience can be found below. The training is an ideal start for people looking to improve data management in their environment.

Course objective

In today's data-driven world, effective management of data is a cornerstone of success for any organization. To thrive in a constantly evolving landscape, businesses must not only collect and store data but also manage it efficiently, ensuring it is accurate, reliable, and used strategically to drive decision-making.

Welcome to our comprehensive training program, where we will delve deep into the critical pillars of data management: Data Governance, Data Quality, Master Data Management, and Metadata Management. This program is designed to equip you with the knowledge and concepts necessary to embark on a data governance journey.

Data Governance sets the rules and processes for data management within an organization, ensuring that data is used responsibly and in compliance with regulatory requirements. We will explore how to establish data policies, assign ownership, and create a framework for data-related decision-making that aligns with your organizational goals.

Data Quality is essential for making informed, accurate decisions. We will uncover strategies to assess, improve, and maintain data quality, helping you avoid costly errors and inefficiencies resulting from poor data.

Master Data Management is the practice of maintaining a single, consistent version of core business data. You will learn how to create and manage a master data repository, ensuring that your organization speaks with one voice and minimizing data silos.

Metadata Management plays a pivotal role in understanding, organizing, and retrieving data. We will explore how to capture, store, and utilize metadata to enhance data discovery and enable more efficient data utilization.

The training is based on DAMA’s Data Management Body of Knowledge (DMBOK), complemented by the practical experience of our consultants. Throughout this training, you will gain valuable insights and practical skills to implement these concepts within your organization. Whether you are an IT professional, a data steward, a business analyst, or a manager, this program is designed to cater to a wide range of backgrounds and roles.


The training is spread over 2-days, which can be followed independently from each other, depending on your readiness and entry-level. Day 1 consists of the more basic topics as an introduction to the base concepts of Data Governance. Day 2 has a more advanced scope to take your basic knowledge to the next level with also some practical exercises. We do recommend following day 1 to ensure you are across all topics discussed on day 2.

Learning outcomes

Day 1 – Introduction

  •  Data Governance 
    • Data Governance introduction
    • Data standards & processes
    • Data policies
    • Issue management
    • Data governance organization 
  •  Metadata Management 
    • Data Catalog
    • Business Glossary
    • Data lineage
    • Metadata management tools
  •  Data Profiling & Data Quality
    • Data profiling 
    • Data quality
    • Data quality dimensions
    • Data quality rules
    • Data quality solutions
    • Data quality roles
  •  Master Data Management
    • Master Data
    • Master Data Management (MDM)
    • MDM implementation Methods
    • MDM roles
    • MDM solutions

Day 1 – Key takeaways: 

After day 1, participants will be able to:

  • Define and distinguish between Data Governance, Data Quality, Master Data Management, and Metadata Management.
  • Understand the components of a Data Governance framework.
  • Know how to establish data policies and apply ownership.
  • Explain the various Data Governance-related roles and responsibilities in a Data Governance Framework.
  • Understand the definition of data quality and how to go about measuring and monitoring it.
  • Understand Master Data, its importance, and what an MDM solution will do to contribute to a single, consistent version of core business data.
  • Understand and use metadata to enhance data discovery and search.

Day 2 – Advanced

  • Data Governance 
    • Implementing data governance
  • Metadata Management 
    • Metadata common challenges & best practices
  • Data Profiling & Data Quality 
    • Data quality techniques 
    • Data quality processes
  • Master Data Management 
    • MDM techniques
    • MDM best practices
  • Practical Exercises 

Day 2 – Key takeaways: 

After day 2, participants will be able to:

  • Understand the steps needed to achieve a comprehensive Data Governance Framework.
  • Put into practice advanced concepts in Data Quality, Metadata Management and MDM, etc. 
  • Dive into best practices and techniques specific to each domain.
  • Make an informed choice between tools for Metadata Management, Data Quality, and MDM.
  • Gain practical experience and understanding through a comprehensive hands-on session.

Target audience

This course is intended for professionals with limited to intermediate knowledge of Data Governance who are looking to manage their data better. This includes but is not limited to data stewards, data quality analysts, IT managers, data architects, data modelers, business analysts, business intelligence designers, project managers, and DW/BI developers.


Suggested prerequisites: Some exposure in data management, which can range from maintaining data for an application to setting up a BI/Data Analytics environment. No technical skills are required, but some experience in handling data will definitely help the concepts to resonate quickly.


1.350 € per participant

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Training schedule can be found here.

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