What is common about calculated tables in a data model?

Calculated tables play a crucial role in a data model, particularly within the context of tools like Kinaxis. One key characteristic of calculated tables is their ability to include multiple calculated reference fields. This allows for greater flexibility and specificity in data analysis, as users can derive various metrics and values based on the underlying data.

Having multiple calculated reference fields means that users can perform complex calculations that take into account various aspects of the data, facilitating deeper insights and more robust analysis. This feature is vital for those needing to perform detailed modeling or analysis that relies on intricate relationships within the dataset.

While other options might suggest attributes of calculated tables, the defining aspect remains their ability to integrate various calculated references, enhancing their utility in the data model context. This capability is essential for users aiming to leverage the full potential of the data they are working with.