1

Introduction

• Data strategy challenges for businesses.
• Defining the notions “Data” and “Information”.
• Different data categories for a company.
• Different data usage formats.

2

Data governance

• Definition of data governance. Tactical and strategic challenges.
• Overview of the DAMA "Body of Knowledge".
• Players and new professions in data management.
• Measurement tools for evaluating the maturity of a company's data.
• The main principles of the data governance approach.
• State-of-the-art reference tools.

3

Master data management

• Positioning of master data management in the company's information system.
• The essential steps of the master data management approach.
• Overview of master data management architecture types.
• Designing and administering master data.
• Summary of best practices.
• The role of users in the MDM system.
• Overview of the deployment of an MDM solution.

4

Forms of data

• From relational to big data.
• Concept of a data lake. Coexistence of traditional technologies and Hadoop.
• Denormalization of data.
• Data for descriptive and predictive analysis.

5

To go further

• The data-driven approach.
• Software on the market.
• Taking the plunge so that the data architecture supports the business strategy.
• Data quality management: Assessment, control, and maintenance. Tools.
• Legislative context: Personal data protection, obligations, retention.