Process Sphere version 0.8 (2023-10-11)

Process Sphere's new user journey enables you to create a target model by mining a selection of "healthy" variants from the as-is behaviors shown in your data, and editing them into a to-be model that describes how your process should behave. You can then explore how the actual behaviors in your data deviate from the desired behavior in your target model. Process Sphere calculates what the impact of each deviation is - especially on the throughput time - and how often it occurs.

You can filter your data at the mining, modeling, and exploration stages to limit the scope if you want to. We've enhanced Process Sphere's performance so the number of object types and event log entries is no longer limited, though the row limit for the underlying data still applies.

For instructions and all the details, see the Process Sphere documentation.