How is a data transform used as a data source?

A data transform serves as a powerful tool for shaping and organizing data within Pega applications, and one of its primary usages is to populate a data page. This involves taking various input properties and transforming them into a format that can be efficiently utilized by the data page. When a data page is created, it often needs to gather or manipulate data from multiple sources, and a data transform can effectively organize that data into the proper structure.

While filtering data in a report definition and mapping case properties are valid activities in Pega, they do not directly involve using a data transform as a data source. Instead, data transforms focus specifically on the organization and preparation of data for use in data pages and other components within the application architecture. Obtaining configuration settings dynamically might involve different mechanisms, which are not the primary role of data transforms. Therefore, the most appropriate context for using a data transform is indeed to populate a data page.