Align business and IT through shared understanding. Eliminate costly misalignment with validated business terminology and clear communication.
The business case for Fact Oriented Modeling
"The biggest risk in IT projects isn't technology failure—it's misunderstanding. Different definitions, unclear processes, and hidden assumptions cause costly mistakes before a project even begins."
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Reduce Rework Catch misunderstandings early, when they're cheap to fix. Validated models ensure IT builds what the business actually needs. |
One Vocabulary Publish a business glossary that everyone uses. No more "what did you mean by customer?" |
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Faster Delivery Clear specifications mean fewer iterations. Development teams can build with confidence. |
Knowledge Retention Business knowledge captured in models, not just in people's heads. Protect against turnover. |
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Governance with DMBOK
The DAMA organization has created an enormous body of knowledge called the Data Management Body of Knowkledge ( DMBOK ). In version 2 they introduced Fact Oriented Modeling for the first time. Both ORM and FCO-IM are condensely described. To illustrate how governance is central in the huge field of data management is shown by the DMBOK Wheel.
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Advantages of Fact Based Modeling
In the realm of data modeling, the FCO-IM (Fully Communication Oriented Information Modeling) method has emerged as a powerful successor to the well-established NIAM (Natural Information Analysis Method). Both approaches rely on the use of natural language to construct data models. FCO-IM, however, takes this methodology a step further, offering numerous advantages that make it an ideal choice for creating elegant and highly adaptable models, all the while ensuring ease of validation by both business experts and users.
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Why Communication Matters
Fully Communication Oriented Information Modeling (FCO-IM) emphasizes modeling the communication aspect of data. Employees constantly exchange facts through communication, such as "Invoice 1238 has an invoice date 1-1-1999". FCO-IM models such communication and facts in natural language. This article highlights the importance of communication in developing a fact-based data model.
