Snowflake versus In-memory Features

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Revision as of 20:10, 7 February 2023 by Ollvihe (talk | contribs)
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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
Measure and dimension specific filters 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