Process prophet is a backend server that combines the power of the RMTPP model and process mining techniques. In particular, a process twin is created for an existing process that is able to:
- simulate existing behavior.
- make predictions for ongoing process cases.
This can provide important insights for project managers while improving decision making and resource allocation.
This model can be implemented in a variety of fields, as long as you have a timestamp, case id and an event name in your data. Therefore, Process Prophet also has a wide variety of possible areas of application.
We also provide an API to agilize integration with other frontend interfaces.
A CLI in the form of a terminal user interface is also provided for endusers that just want to use our provided functionalities.
This documentation is intended to be used by frontend developers and data scientists that wish to integrate process prophet's backend functinality into their projects; or want to understand how we implement our models.
If you are an enduser of the CLI, check out the user's guide!
Intended for a frontend developer: allows quick integration of our backend functionality by providing API endpoints that permit quick requests to our backend.
The core of Process Prophet: we support:
- Preprocessing
- RMTPP model training
- Prediction generation
- Process Mining
- Conformance checking
The RNN model we are using to generate our process twin.
We provide a CLI, here in the form of a terminal user interface, as one possible frontend for our backend. This was also done to agilize the testing of the backend. However, Process Prophet's potential can definitely stand out when implemented in your case specific software. We provide functionality and highly integrable software, so that endusers can incorporate our models to their own projects!