What is the main purpose of using data transforms in integration processes?

The primary purpose of using data transforms in integration processes is to map data to the application data structure. Data transforms are designed to facilitate the conversion and alignment of data from various sources so that it can be appropriately handled within the application. They allow you to take data received from an external system, which may be in a different format or structure, and transform it into the structure expected by your application. This task is crucial for ensuring that data is consistently organized and accessible for further processing within the application's business logic.

The other options represent different tasks or functions that may take place in integration scenarios but do not encapsulate the primary role of data transforms. For example, setting authentication data is focused on security protocols, mapping response formats relates to parsing external data interactions, and invoking parse rules involves different mechanisms for processing responses. Each of these processes might occur in integration, but they do not specifically highlight the mapping function of data transforms.