Snowflake versus In-memory Features: Difference between revisions

From QPR ProcessAnalyzer Wiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 10: Line 10:
|style="text-align:center;"|X
|style="text-align:center;"|X
|-
|-
||Measure and dimension specific filters
||Filter rules can be defined for measures and dimensions
||
||
|style="text-align:center;"|X
|style="text-align:center;"|X

Revision as of 20:10, 7 February 2023

This page describes differences in available features between dashboards using Snowflake and in-memory models.

Feature In-memory Snowflake
Event filtering based on event attributes and expressions (by any criteria) Only by event types X
Filter rules can be defined for measures and dimensions X
Dynamic event type mapping (allows to set event type for each chart/flowchart) X
Business calendar for duration calculation X Planned in PA 2023.2
Define measures as variables to build combined measures X Planned in PA 2023.2
Statistical aggregations (median, standard deviation, variance, percentile) X Planned in PA 2023.2
Conformance analysis using BPMN design models X Planned in PA 2023.3
Calculated attributes to create reusable measures X Planned in PA 2023.3
Case level permissions for granular access control X Planned in PA 2023.4
Notifications and alerts for improvement actions X Planned in PA 2023.4
Root causes analysis for flowchart and some advanced chart presets X Planned in PA 2023.4
Loops and advanced programming logic in custom expressions X
Define custom aggregations using expressions X