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Semantic PDM: Using a Graph Data Model at Schleich

Blog post from Neo4j

Post Details
Company
Date Published
Author
Andreas Weber
Word Count
2,592
Company Posts That Month
14
Language
English
Hacker News Points
-
Post removed?
No
Summary

In a German toy manufacturer, Schleich, data management was a challenge due to product conformity and chemical safety concerns. The company implemented a semantic product data management (PDM) system to address these issues. The system uses graph databases, such as Neo4j, to manage complex relationships between products, materials, and regulations. It allows for cross-company data collection and provides a transparent system with high data quality. The system is scalable, accessible, and collaborative, making it suitable for global supply chains. It eliminates the need for separate document management systems and provides context-based access to relevant data. The system also enables easy tracking of product launches, approvals, and regulatory compliance. By using this concept, companies can improve their data management and reduce the risk of non-compliance with regulations.

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