Data Governance and Management Training

Introduction to Data Management 

• Issues around data and data management in the company 
• Introduction to DMBOK v2: structure, definition, and objectives of each Data Management domain 

Data Governance - Part 1 

• Purpose and definition of data governance 
• Description and link with other concepts (data management, IS management, data quality management, metadata management) 
• Guiding principles and policies 
• Operational model 

Metadata Management 

• Fundamental concepts
• Glossary and dictionary
• Lineage and cataloging solutions
• Deployment approach 

Red thread - Practical case 1: how to structure a business glossary and develop a common language? 

Data Quality Management 

• Issues and objectives 
• Data quality dimensions 
• Quality improvement deployment approach 
• Tooling 

Red thread - Practical case 2: conducting a data quality management audit. 

Data Governance - Part 2 

• Roles model and committee structure 
• Deployment approach 
• Indicators 

Red thread - Practical case 3: how to operationalize data governance ? 

The next dates for the "Data Governance and Management" training are: 

• December 3 and 4, 2024.

All training sessions are adaptable to your needs. They can therefore be either in-person or remote according to your request. However, we do not conduct hybrid training sessions, so in-person inter-company training at our premises is not accessible remotely. 

The DMBOK is the Data Management Book Of Knowledge, one of the reference works on data management topics. It is published by the Data Management Association, DAMA, an international association of business and technical professionals aimed at promoting the understanding, development, and use of best practices in data management.