Snowflake versus In-memory Features: Difference between revisions

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||Planned in PA 2023.4
||Planned in PA 2023.4
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||Presets for process compliance analysis (+other advanced presets)
||Presets for process compliance analysis (+other new presets)
|style="text-align:center;"|X
|style="text-align:center;"|X
||Planned in PA 2023.4
||Planned in PA 2023.4
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|style="text-align:center;"|X
|style="text-align:center;"|X
||Planned in PA 2023.5
||Planned in PA 2023.5
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||Clustering analysis
|style="text-align:center;"|X
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||Notifications and alerts to initiate corrective actions
||Notifications and alerts to initiate corrective actions
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||Planned in PA 2023.7
||Planned in PA 2023.7
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||Machine learning functionality (e.g., prediction, clustering)
||Advanced machine learning functionality (e.g., prediction)
|style="text-align:center;"|X
|style="text-align:center;"|X
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Revision as of 14:53, 6 June 2023

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

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
Show violation reasons in conformance analysis X Planned in PA 2023.4
Presets for process compliance analysis (+other new presets) X Planned in PA 2023.4
Path analysis (parts of process variations) X Planned in PA 2023.4
Queue analysis to identify bottlenecks X Planned in PA 2023.5
Clustering analysis X
Notifications and alerts to initiate corrective actions X Planned in PA 2023.5
Calculated attributes to create reusable measures X Planned in PA 2023.6
Case level permissions for granular access control X Planned in PA 2023.7
Dynamic dropdown list selector to select model items X Planned in PA 2023.7
Advanced machine learning functionality (e.g., prediction) X
Define custom aggregations using expressions X
Loops and advanced programming logic in custom expressions X