Typing your entities could impose limitations on data customization and adaptation to local context

Typing your entities could impose limitations on data customization and adaptation to local context

This limitation stems from the standardized nature of entity types, which might not always accommodate the nuances of local or specific user needs. When entities are typed according to a universal schema, there's a risk that this one-size-fits-all approach may not fully capture the unique attributes or variations required by different regions, cultures, or specialized applications. As a result, users might find it challenging to tailor the data to reflect local peculiarities or to apply it in contexts where a more customized or granular categorization is needed. This could lead to a scenario where the data, while well-organized, becomes less flexible and less responsive to specific, localized demands, highlighting the need for a balance between standardization for coherence and flexibility for customization within the data management strategy.