Fact-Oriented Information Modeling

Data modelers interview business experts, study piles of requirements, talk extensively, and then – hocus pocus – present a diagram with boxes, crows feet, arrows, etc. Such data models can be quite abstract, misunderstood, and perceived unnecessary.

Fact-oriented information modeling is the very opposite of abstract, using natural language to express facts that are intelligible to both business and IT. It does not require an understanding of the magical language of boxes and arrows. Although fact-oriented models can be presented in several diagramming notations, the information can always be expressed in natural language. This gives data modelers, technically skilled people, and business people the benefit of having a fully documented and easily validated model.

Learn Fact-Oriented Modeling:

              • Incorporate concrete examples

              • Integrate business jargon 

Visualize model as:

              • FOM

              • UML

              • Logical

Keep your model valuable:

              • Verbalizing and validating a data model

              • Keeping data models current

              • Generating technical artifacts (SQL, XSD, OWL, JSON Schema)

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Marco Wobben

Information Architect 
BCP Software

Considered an expert in the fact-oriented modeling community, Marco Wobben has been consulting and contributing to IT projects for nearly 30 years. He is active in a wide range of industries, such as medical, banking, logistics, tourism, manufacturing, and governmental. The fact-oriented modeling method was originally developed in the Netherlands in the 1990s and continues to be taught in educational institutions across the globe.