This app is for dashboard designers who want to visualize process data on a dashboard panel
The app generates a Direct-Follows-Graph (DFG) representation of the input data. This is done by computing how often which tasks follow directly after another and representing it accordingly. On top, it calculates summary statistics on the time spent in a task.
Example dashboards provided with the app for usage reference. Generally, the modular visualization expects the process data to be supplied in the following format: |table corrID fromStep toStep fromStep Duration. This means that the process data needs to be transformed into this edge representation where each row in the results represents a transition instance. Transition instances that belong to the same process instance are grouped by corrID.
This app is intended to be installed on the search tier of your deployment only. Please refer to the Splunk Documentation for details.
Please review the "Format" menu for all available configuration options.
The source code is available on Github. Please refer to the contribution guidelines found in the repository.
Fix for multiple visualizations on a single dashboard
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