1
Introduction
- Data strategy challenges for businesses.
- Defining the notions “Data” and “Information”.
- Different data categories for a company.
- Different data usage formats.
Storyboarding workshops
Discussions on the strategic role of data for a business.
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.
Storyboarding workshops
Ranking governance actions defined in DMBoK. Defining the data governance action plan based on a case study.
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.
Group discussion
Simulated workshop to analyze needs for each business line and define shared master data.
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.
Storyboarding workshops
Discussions on the "data strategy” for the company’s decision-making.
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.
Storyboarding workshops
Discussions of possible approach strategies based on context.
2d
- 14h00 
Download in PDF format
Share this course by email