August 3, 2017

Visualize performance predictions via dashboard

Authors: Simon Raboczi, Andrii Rozumnyi, Ilya Verenich, Marlon Dumas, Marcello La Rosa

Once the predictive models have been created, they can be deployed to the Runtime predictive monitoring environment of Apromore, to make predictions on ongoing cases. The Runtime plugin bundle can be used to stream an event log from the repository, or hook into an external stream. Either way, the input stream is transformed into a stream of predictions which is visualized in a Web-based dashboard.

The dashboard provides a list of currently ongoing as well as completed cases. For each case, it is also possible to visualize a range of summary statistics including the number of events in the case, its starting time and the time when the latest event in the case has occurred. For the ongoing cases, the Runtime plugin bundle provides the predicted values of the performance indicators the user wants to predict. For completed cases, instead, it shows the actual values of the indicators. Color-coding is applied to help users quickly nail down potentially problematic cases.

A screencast of this plugin can be found here.