What is the purpose of model enrichment?

The purpose of model enrichment is to enhance a model's representation of real-world problems by utilizing insights gained from experience with the model. This process involves identifying areas where the model can be improved, often by adding relevant details or refining existing components to better reflect the complexities of the actual situation it aims to represent. By doing so, the model becomes a more effective tool for decision-making, as it can capture more nuances and lead to more accurate predictions and analyses.

In business research and decision-making contexts, model enrichment is vital because it allows practitioners to adapt their models based on new data, changing conditions, or additional knowledge. This dynamic approach ensures that the model continues to be relevant and useful over time, improving its overall effectiveness.