Enriching a Model with DAX
In order to drive user adoption and to provide a foundation to support more advanced analytics, it's essential that the logic embedded in core or 'base' DAX measures accurately reflect business definitions. These fundamental measures deliver version control across the many reports built from a data model and avoid the need for additional logic to be applied at the report layer. Clear definitions for required business metrics should be documented and the corresponding DAX measures should be validated for accuracy prior to deploying any reports using these new measures to a production environment.
Performance, usability, and version control are all fundamental characteristics of effective data models, but it is often the additional analytical context that sets models apart. Once fundamental measures have been implemented, additional DAX measures can be developed to support common and high-priority business analysis. These measures can often...
