Data Model, Data Modelling

A data model is a structured, logical representation of information that defines how data is organised, stored, interpreted, and exchanged between systems. It acts as a framework for understanding complex data relationships and for managing information in a consistent, accessible, and machine-readable format.

Data models play a central role in fields such as construction, engineering, industrial design, and digital twin technology. They define both geometric (shape, dimensions, position) and semantic (meaning, classification, relationships) aspects of digital objects. A robust data model enables software and users to interact with data consistently and precisely, forming the backbone for advanced solutions such as:

  • BIM (Building Information Modelling)
  • Digital twins of industrial assets
  • 3D design systems
  • Simulation and visualisation platforms

Data models can be static (capturing the current state of an object) or dynamic (updated with real-time input), supporting various phases of an asset’s lifecycle—from planning and design to operation and maintenance.

Applications

  • Facilitating cross-disciplinary collaboration through shared data structures
  • Supporting decision-making by enabling simulation, analysis, and performance optimisation
  • Reducing redundancy in data collection and documentation
  • Integrating systems such as GIS, IoT sensors, and automation platforms
  • Enabling compliance with industry standards (e.g. IFC, ISO 19650)

Well-designed data models are critical for achieving efficiency, accuracy, and traceability in modern industrial and infrastructure projects.

See also: BIM, ReCap

Company

Integrating physical asset management with dynamic true-to-life 3D facility visualisation.

Your tursted companion in industrial planning and for the whole life cycle of your industrial facility.