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currently in the memory and available to dashboards and analyses. Applicable only for in-memory models. Offline (for in-memory models): Model is currently

sampling. B-08446: QPR ProcessAnalyzer can be deployed as Snowflake application package to publish it as a native app. B-08418: QPR ProcessAnalyzer has been integrated

D-13491: QPR ProcessAnalyzer server crashed now and then when sorting was in progress and the query was cancelled. D-13380: Dimensioning integers in in-memory

the ScriptLauncher folder. (Note QPR ProcessAnalyzer 2022.5 and earlier releases use file Qpr.ProcessAnalyzer.ScriptLauncher.exe.config)). To configure the

invariant culture QPR ProcessAnalyzer models can be exported into .pacm files (QPR ProcessAnalyzer compressed model file format) in the Workspace.

cases/events are included and which are excluded from the resulting dataset. Filters are very powerful feature in QPR ProcessAnalyzer, because any filter can

once in a case (looping, repetition). Flow has a different meaning in the BPMN diagram than in the traditional process mining diagram. In the process mining

found in the QPR ProcessAnalyzer user management. Note that QPR ProcessAnalyzer groups and Snowflake roles are not connected, so QPR ProcessAnalyzer user

(either Table or View). QPR ProcessAnalyzer is able to create and modify database table, but view is not modified by QPR ProcessAnalyzer. If desired to use

Models API is used to create models, delete models and edit model properties. Data import is not done using the models API, but data is imported directly

starting and ending event attribute name and value matches. The Object and Flow measures can be configured in the Object measures and Flow measures tabs

contains script examples written in the QPR ProcessAnalyzer expression language. See how expression scripts can be created in the Workspace. For documentation