Data Models
Reusable Neo4j data models that power industry use cases across financial services, insurance, and other domains. These standardised models provide the foundation for solving complex business challenges with graph technology.
Overview
Data models are the backbone of effective graph database implementations. The models documented here represent battle-tested patterns that have emerged from real-world industry deployments. Each model is designed to be:
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Reusable - Can be adapted across multiple use cases and industries
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Scalable - Tested with enterprise-grade data volumes
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Standards-compliant - Follows Neo4j best practices and industry conventions
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Production-ready - Includes constraints, indices, and performance optimisations
These models serve as technical specifications for building robust graph solutions, whether you’re implementing fraud detection, entity resolution, transaction monitoring, or other graph-powered applications.