Process Mining Live: Unveiling Workflow Dynamics from Event…

What Process Mining Live Is

Process Mining Live is a powerful tool that converts raw event-log data into a visual representation of the underlying business processes. By analyzing sequences of events, it identifies patterns and workflows that occur in real-time within an organization.

This live visualization allows users to interact with the process model dynamically, adjusting parameters such as dependency thresholds and noise levels to refine the discovered workflow.

How It Works

The tool uses a 2D directly-follows graph to map out workflows. Each node represents an event or activity, while edges indicate the sequence in which these events occur. The Heuristics-Miner algorithm is employed to discover the most likely workflow based on the event-log data.

As you adjust the dependency threshold and noise level sliders, the model updates in real time, reflecting changes in the discovered workflow and its fitness score.

live demo · related simulation● LIVE

Why It Matters

Understanding business processes through process mining can significantly enhance operational efficiency by identifying bottlenecks, optimizing workflows, and improving overall performance.

Real-time updates allow for immediate insights into process deviations, enabling quick corrective actions and continuous improvement.

Applications in Business

Process Mining Live is particularly useful in industries where complex business processes are critical, such as healthcare, finance, and manufacturing. It helps organizations to streamline operations, reduce costs, and improve customer satisfaction.

By providing a clear visual representation of workflows, it aids in training new employees, identifying areas for automation, and ensuring compliance with regulatory standards.

Frequently asked questions

How does the Heuristics-Miner algorithm work?

The Heuristics-Miner algorithm identifies frequent patterns of events from event logs by considering both the sequence and frequency of activities, allowing it to discover the most likely workflow.

What is a fitness score in process mining?

A fitness score measures how well the discovered model fits the actual event data. A higher score indicates that the model accurately represents the observed processes.

Can Process Mining Live handle large datasets?

Yes, modern process mining tools are designed to handle large volumes of event-log data efficiently, making it suitable for organizations with extensive business processes.

What is the significance of adjusting noise levels in the model?

Adjusting the noise level helps filter out less significant events that do not contribute to the overall workflow pattern, ensuring a more accurate and meaningful process model.

Try it live

Everything above runs in your browser — open Process Mining Live — Discovering a Workflow from an Event Log (2D) and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Process Mining Live — Discovering a Workflow from an Event Log (2D) simulation

Process Mining Live: Unveiling Workflow Dynamics from Event Logs