Normalization is not always fun, and even in 1989 someone by the name of Marc Rettig tried to make it more fun and easy to absorb. He must have thought, "everybody loves puppies", let's make everybody love normalization by using puppies as an example. Naturally he was right, everybody loves puppies. :-P

Abstract Models are a technical choice to save effort in managing code and modeling effort. There's an advantage in re-use of elements, but also a disadvantage in the need for more rules, potentially more code, and harder to understand. The latter seems counter intuitive, but let this article explain using a simplified example of names.

Why Fact Oriented Modeling?

Fact Oriented Modeling is a data modeling approach which is more business oriented than other more technical oriented ways of working. Fact Oriented Modeling helps you close the gap between business and IT.

Modern data architectures work with the four quadrants of Ronald Damhof, in which one quarter is almost completely defined by Fact Models. It has been applied in the Dutch National Bank, the Tax Department, and now the Department of Justice and Safety in the Netherlands. It supports the vertical data architecture, being the data at rest, from law, regulations, procedures, down to the definitions and implementations in databases.

In general, the path to growth is to realize the business IT gap is real. Once this realization sets it, it is no longer just a new tool which will fix the problem.

CaseTalk partners with HvA, HR and HU building the centre for Responsible Applied AI

The Amsterdam, Rotterdam and Utrecht Universities of Applied Sciences have received a SPRONG grant from Regieorgaan-SIA, with which they - together with 24 partners from the field - can build an infrastructure for a powerful research group. A group that is regionally and nationally recognised as the centre for practice-based research in the field of Responsible Applied AI.

Casetalk is part of the curriculum at several universities, high schools and in secondary education. Students learn the basics of FCO-IM using CaseTalk and often the final assignment is to make a model of an existing organization of their choice.

Ever wondered where your entities came from? Entities may exist in your source code, databases, business glossaries, and in your data models themselves?

The Ensemble Logical Model (ELM) is an enterprise-wide business model which, in an agile way, maps the business concepts within a given organization into an agile and adaptable model. ... The Ensemble Logical model is a backbone model containing the Core Business Concepts and the way these are related. The high level modeling of concepts in this approach is in need for a trickle down approach which further integrates the communication and their examples. FCO-IM is an excellent candidate for that. Previously we showed the icons which depict concept types such as Person, Location, Event, etc.