Data modelling is the process of developing an organized, logical structure for data within a system. It involves creating a blueprint that defines relationships between pieces of information and how it can be used to answer specific business questions. By following a set of principles when constructing data models, companies can ensure their solutions are efficient, scalable, and flexible enough to meet their evolving needs.
Data modelling principles include things such as maintaining an accurate representation of the real world by capturing objects, concepts, and their relationships; separating unrelated items into distinct components; applying integrity constraints to ensure data accuracy; and planning for future changes in use cases and data formats. By following these principles, organizations can build robust data systems which will enable them to make faster, more informed decisions.