Imagine constructing a skyscraper with no blueprint, determining easy methods to lay concrete, align support beams and wire electrical in an ad-hoc way because the constructing takes shape.
Well, this is precisely what’s happening in data organisations today…
Data modelling, the foundational blueprint of the information ecosystem, is being neglected in the frenzy to adopt the most recent technologies and deliver quick results. And we see a predictable mess of problems being addressed with short-term engineering fixes.
Based on Joe Reis (who’s writing a book on this topic now) a knowledge model is:
A structured representation that organizes and standardizes data to enable and guide human and machine behaviour, inform decision-making, and facilitate actions
Data modelling has been a cornerstone of information management for a long time, essential for firms to structure and understand their data. Nevertheless, lately, the practice has grow to be less popular, overshadowed by recent data tools and technologies. This shift reflects a short-term perspective in the information industry, where immediate results are sometimes prioritized over foundational principles.
The core issue is that data modelling requires a deep understanding of the…
