What is a common use of data transforms in Pega?

Mapping data between different formats is a common use of data transforms in Pega. Data transforms are powerful tools that allow developers to manipulate and transform data from one structure to another. This is particularly useful when data needs to be transformed to comply with different data models or formats used across various systems or components.

For instance, when integrating with external systems or services, data may need to be presented in a different structure or schema than how it is stored within Pega. Data transforms provide a way to define these conversion rules efficiently, ensuring that the right data is being captured and passed along to the appropriate parts of the system or external applications.

In contrast, creating user roles is more related to security governance and user management rather than data manipulation. Logging error messages is about tracking issues in the application rather than transforming data. Lastly, establishing system performance benchmarks involves performance monitoring and tuning, which does not directly relate to data format mapping. Thus, the focus on transforming data in a way that suits different needs is the primary strength of data transforms in Pega.