• Process mining and Bonita

    Process mining can be used with BPM technology to uncover inefficient processes in the organization. These processes can be improved, redesigned, and automated with Bonita.

    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.


  • Process mining and Bonita
  • Process performance mining in BPM
  • Process performance mining in BPM

    Unlike classic process mining techniques that focus on process discovery, our use of an innovative process mining extension allows learning on any business process model already automated in the BPM platform.

    • Offers goal-oriented predictions
    • No need to know data in advance
    • Provides easy-to-interpret results
    • Makes recommendations
    • Detects outliers, loops, latencies, and bottlenecks in a live process application
    • Analyzes at the level of processes, paths, and tasks
    • Considers both actual and predicted durations and occurrences
  • File:RWTH Logo 3.svg

    Process mining is much more than process discovery…I see a trend toward predictive process mining. It is not enough to diagnose problems; tools should also be able to predict delays and deviations before they happen.

    Prof.dr.ir. Wil van der Aalst, Process and Data Science, RWTH Aachen University
  • Process and performance mining in the digital era

    As enterprises’ view of business processes evolve from static, rote sequences of tasks to a dynamic, customer-focused context, so too do the business process management (BPM) platforms that help such organizations manage and automate those processes.


  • Process and performance mining in the digital era
  • Enhancing human intelligence with process performance mining: better information for better decisions

  • Bonita ICI

    Behind-the-scenes AI process mining algorithms analyze archived data to detect patterns, and then apply them to ongoing process executions to predict issues and inefficiencies.

    Users gets real-time information on how processes are currently performing and where they can take action if needed.

    Human decision-making intelligence is boosted with machine learning to avoid bottlenecks, improve efficiency, and highlight possible process improvements.

  • Process analytics and Bonitasoft

    • Process analytics technologies focus not only on how processes are performing, but also on what businesses can do to make them perform better.
    • Combine process analytics with BPM, process mining and other process-related technologies to provide visibility, analysis and understanding to users on how they are currently performing, and find opportunities for improvement.
    • Bonitasoft supports an open source Process Analytics Project with a mission to help developers vizualise and monitor process execution data using BPMN2 standard notation.
    • The Process Analytics project has published a set of libraries that can be easily integrated into existing applications and tools.
    • These libraries are fully integrated in the Bonita platform to provide visualization, monitoring and improvement capabilities of your process automation projects.


  • Process analytics