À la découverte du sens-métier des modèles de données

Keys to understanding the industrial world and implementing digital transformation

Discovering the hidden meaning of data models is the first step in an original approach to methodically ensuring that industrial IT systems take real-world conditions into account.

This book follows a series of questions that need to be asked in order to obtain data models that can be understood and shared during a project, which promotes the development, updating, and acceptance of systems by users. Each explanation is accompanied by a real-world example. Each example illustrates different aspects of this complex industrial world; breaking them down into simple examples allows readers to understand them.

This comprehensive manual provides the keys to understanding and implementing digital transformation while maintaining business sense: the complex reality of the industrial field; business ecosystems; the issue of languages, designations, and codifications.

The value and originality of Anne Dourgnon's book lies in its cutting-edge approach to the subject, offering a method based on practical questions and anchoring this method in reality rather than in examples created from scratch.

SUMMARY

• 1. Data and data models
• 2. What representations (sketches, diagrams, plans, etc.) do you use?
• 3. What will your data model be used for?
• 4. Did you say class? And ontology?
• 5. How do you organize knowledge?
• 6. A few questions about Porphyry's trees
• 7. How do you find the right words to name reality?
• 8. Sort, classify, or categorize?
• 9. How will you do this in practice?
• 10. How can you play with names, and how do names play with us?
• 11. Do you prefer linguistic models or conceptual models?
• 12. How can you find your way around reference systems?
• 13. What can hinder mutual understanding?
• 14. What are the risks of digitization?
• 15. From data models to knowledge models