Concept Modelling with Normal People – Five Key Lessons From 45 Years of Modelling [Engelstalig]

Our speaker built his first concept model in 1979. It wasn’t very good. In fact, it looked like a hierarchical IMS physical database design. Eventually, over many modelling assignments around the globe, in every kind of organisation and culture, a small number of core principles emerged for effective modelling. All revolve around the idea we’re modelling for people, not machines. It turns out, even in the age of AI, virtual work, misinformation, and constantly changing technology, these lessons are proving to be just important as – or even more important than – ever. After all, we’re only human.

1. Data Modelling doesn’t matter (at first) – just start with a nice conversation.
2. Getting to the essence – “What” versus “Who, How, and other distractions.”
3. Good things come to those who wait – why patience is a virtue.
4. Be fearless, and play to your strengths – vulnerability and ignorance.
5. Every picture tells a story, except those that don’t – hire a graphic designer.
6. Bonus – your concept model is good for so much more than “data.”