To efficiently share data between pages within a case, which method is preferable?

Employing data transforms is the preferred method for efficiently sharing data between pages within a case due to their structured approach in mapping and transforming data. Data transforms allow you to define how data from one page or context should be transferred or modified in another, making it an effective tool for maintaining data integrity and consistency throughout the case lifecycle.

This method not only simplifies the process of data manipulation but also enhances maintainability, as data transforms offer a visual representation and can be easily modified or reused across different parts of the application. This aspect of reusability is significant in Pega applications, where similar data sharing may occur in various scenarios.

While data mappings also provide a means to relate different data structures, they are typically more focused on the association of data rather than the direct transfer and transformation process, which is better handled by data transforms. Activities are more code-centric and can introduce complexity and potential for errors due to manual coding; therefore, they are less preferred for straightforward data sharing tasks. Directly writing code is generally discouraged as it can lead to maintenance challenges and reduces the clarity and visual representation that Pega promotes for application development.