Model Generation Application

#bpmn #discovery #generation #analytics

In our May news, we announced 📣 our upcoming demonstration tool: “Model Generation Application”.

Built with Process Analytics components, it is a shiny R application that generates a process from event logs (in XES format), using 2 representations that can be used for comparison, with execution data (frequency):

a basic Process Discovery view
a BPMN diagram

For both representations, it lets the user filter out noise that can be generated by the event log, depending on its quality.

With the BPMN view, you can enrich the process semantics by doing gateway and task detection.
And once the BPMN diagram is generated, you can use it in a BPM platform.

⏩ Go to the Model Generation Application page to learn more and try it out 🧪. We’re interested in your feedback!

While waiting for the online version, if you want to stay up to date with the latest news and releases from the Process Analytics project, follow us :

Website: https://process-analytics.dev
Twitter: @ProcessAnalyti1
GitHub: https://github.com/process-analytics

Speedy emails, satisfied customers

Are delayed transactional emails costing you user satisfaction? Postmark delivers your emails almost instantly, keeping your customers happy and connected.