What does the Data Management strategy for a Process Model determine?

The Data Management strategy for a Process Model primarily determines the length of time after process completion for which process data remains available. This aspect is crucial in managing how data persists after a process has ended, allowing users to access and utilize historical data for reporting, auditing, or further operations.

In practice, this strategy influences how data can be retained or disposed of based on the needs for visibility into past processes. By determining the retention period, organizations can strike a balance between data governance requirements and system performance, ensuring that necessary data is available without overburdening storage capacities.

Other aspects such as execution time, the number of iterations, or the types of data collected, while relevant in their own contexts, do not directly relate to the Data Management strategy. Therefore, the focus on the retention of process data after completion highlights the strategic importance of data management in process modeling.