Within the Data Analysis Expressions (DAX) language, new data fields can be derived from existing data within a table, or even from data residing in a connected table. This allows for the creation of customized metrics, flags, or categorized values without altering the source data. For instance, a “Total Sales” column could be added to a “Products” table by summing related values from an “Orders” table. This dynamically updates whenever the underlying data changes.
This ability to create custom fields enriches data models and provides deeper analytical insights. It allows for the development of complex calculations and key performance indicators (KPIs) directly within the data model, enhancing report development speed and efficiency. Prior to this functionality, such computations often required preprocessing or complex queries, resulting in less flexible reporting. Integrating derived fields directly within the data model promotes data integrity and simplifies data manipulation for end-users.
