Data model: definition, importance and examples

What is a data model?

A data model is an abstract, structured representation that defines how information is organized, stored, and manipulated in a computer system. It describes document types, attribute sets, SKUs, media, and data relationships, providing a solid foundation for product information management.

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Data modeling allows you to:

• Formalize management rules and relationships between pieces of information.
• Ensure data quality and integrity throughout its lifecycle.
• Secure data and ensure confidentiality.
• Facilitate integration with systems such as PIM Product Information Management) or DAM (Digital Asset Management), thereby optimizing the distribution of information across all sales channels.

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There are several models available to suit different needs:

• Relational model: uses tables to represent data and their relationships.
• Entity-association model: conceptualizes entities and their relationships.
• Object model: represents data in the form of objects, similar to object-oriented programming.
• Document model: ideal for semi-structured data such as JSON or XML.
• Hierarchical model: organizes data in a tree structure.
• Network model: allows complex relationships between data to be represented.

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A PIM Quable relies on a robust data model to organize, manage, and distribute product information in a consistent manner tailored to the needs of each company. This model must be both flexible, to adapt to specific business requirements, and structured, to ensure data quality.