This question is subjective, but certain simple assessment points can be used to assess the accuracy of a data model. They are as follows:
A well-designed model should offer good predictability. This correlates to the ability to be easily able to predict future insights when needed.
A rounded model adapts easily to any change made to the data or the pipeline if need be.
The model should have the ability to cope in case there is an immediate requirement to large-scale the data.
The model’s working should be easy and it should be easily understood among clients to help them derive the required results.