What is the main purpose of using data transforming in case management?

The primary purpose of using data transformation in case management is to copy values automatically between cases. This process allows for efficient data handling, enabling the system to automatically pass relevant information from one case to another without requiring manual input. This is particularly useful in complex case management scenarios where multiple cases may share similar data or when outcomes of one case may influence related cases.

By automating the copying of values, data transformation enhances accuracy and reduces the potential for human error while improving the overall efficiency of case management. It ensures that all relevant data is consistently and readily available across connected cases, facilitating smoother workflows and better decision-making processes.

In contrast, ensuring the security of data, managing routing of cases, and visualizing case statistics relate to other aspects of case management but do not directly pertain to the function of data transformation. Security focuses on protecting information, routing involves directing cases through various stages or to appropriate stakeholders, and visualization centers on presenting data for analysis and performance monitoring. Each serves a distinct purpose but does not encompass the main role of data transformation in the context described.