Need to analyze and optimize your business processes? Then you need an overview of the execution data: process, data, actors (human and robots) and systems (forms, apps, 3rd party software).
The Process Analytics project ultimately supports the creation of tools that can be used to:
- give an visual overview of process execution and business data,
- help process understanding through analysis of its data, and
- make good choices for process optimization.
You can create and build applications to visualize:
- Monitoring an individual process instance execution
- Monitoring of all process instances for a selected process
- Prediction of a process instance execution
- Other process data
- Drill down through process execution flow
- Related resource data
- And more…
The Process Analytics project provides a set of libraries that can be integrated into automation tools, process mining, Business Intelligence tools, RPA, services orchestration, and others.
These libraries will make it easy to render processes, human tasks, automatic and robotic (RPA) talks, and system-related execution data.
Process mining algorithms (process performance mining) can be used in Bonita to provide visibility, analysis and better understanding of business operating models - through real-time information on current performance and indicators for potential improvements.