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| Overview | What it does | Community | Technical Documentation |
|---|---|---|---|
Introducing Nirdizati - why it’s built and what it does |
How it works |
News, project management and contibuting |
Detailed technical documentation on Nirdizati |
Nirdizati is a dashboard-based predictive process monitoring engine for running business processes. The dashboard is updated periodically based on incoming streams of events. However, unlike classical monitoring dashboards, Nirdizati does not focus on showing the current state of business process executions, but also their future state (e.g. when will each case finish). On the backend. Nirdizati uses predictive models pre-trained using data about historical process execution.
Nirdizati is a joint effort by University of Tartu's and Queensland University of Technology's Business Process Management research groups. The original developer behind Nirdizati is Andrii Rozumnyi. Credits also go to Ilya Verenich, Marcello La Rosa, Marlon Dumas, Irene Teinemaa, Fabrizio Maggi, and Simon Raboczi, among others. The tool has also benefitted from joint work with Niek Tax (Eindhoven University of Technology) and Chiara di Francescomarino (FBK Trento).