What is one recommended strategy to mitigate the impact of data-only processes on performance during business hours?

One recommended strategy to mitigate the impact of data-only processes on performance during business hours is to delete process instances after completion. This approach is effective because, in many cases, data-heavy processes can accumulate a large number of instances that may not be needed after they have completed their execution. By regularly deleting these instances, you can free up system resources, reduce database size, and improve overall performance during peak business hours.

When large numbers of process instances remain in the system, they can consume memory and processing power, which can lead to slower response times for users and decreased application performance. Therefore, implementing a strategy to delete completed instances helps maintain system efficiency and allows other critical operations to run more smoothly, especially when demand is high.

The other options do not directly address the performance issues associated with data-only processes during business hours. Storing data in process variables, for example, can actually exacerbate memory usage and performance concerns, while running heavy operations in the afternoon could simply shift the load without resolving underlying performance challenges. Making process variables visible for reporting does not impact the performance of the system but focuses on visibility rather than resource management.