Process Mining using BPMN Training in Copenhagen, Denmark

This training will introduce participants to the fundamentals and advanced concepts of process mining using BPMN (Business Process Model and Notation). Participants will learn how to apply BPMN to model business processes, analyze process data, and mine valuable insights for process optimization and performance improvement. Hands-on exercises will guide learners through the steps of process discovery, conformance checking, and enhancement using BPMN tools. By the end of this course, attendees will be equipped to apply BPMN techniques to real-world process mining challenges.

Introduction to Process Mining and BPMN Basics

• Overview of Process Mining

• What is process mining and its importance?

• Types of process mining: Discovery, Conformance, Enhancement.

• Applications and use cases of process mining in various industries.

• Introduction to BPMN (Business Process Model and Notation)

• Overview of BPMN symbols and notation.

• Key BPMN elements: tasks, events, gateways, pools, and lanes.

• BPMN process diagram construction and layout.

• Process Discovery using BPMN

• Understanding event logs and process data sources.

• Introduction to process discovery algorithms.

• Converting event logs into BPMN process models.

• Hands-On Exercise

Advanced BPMN Modeling and Conformance Checking

• Advanced BPMN Techniques

• Modeling complex business processes with BPMN.

• Use of subprocesses, events, and parallel flows in BPMN diagrams.

• Handling exceptions, interruptions, and error events in BPMN.

• Conformance Checking

• Introduction to conformance checking and its role in process mining.

• Comparing actual process data against reference BPMN models.

• Analyzing deviations and identifying non-compliance in processes.

• Tools and Techniques for Process Mining

• Overview of popular process mining tools (e.g., Celonis, Disco, ProM).

• Data extraction, pre-processing, and integration with process mining tools.

• Hands-On Exercise

Process Enhancement and Case Studies

• Process Enhancement with BPMN

• Identifying bottlenecks and inefficiencies in process flows.

• Using insights from process mining to optimize workflows.

• How to redesign processes for continuous improvement.

• Analyzing and Interpreting Process Mining Results

• Visualizing process metrics and performance indicators.

• Deriving actionable insights from process mining data.

• Case studies of process mining in action.

• Real-World Applications and Use Cases

• How companies are applying process mining to improve business operations.

• Lessons learned and success stories in various industries.

• Hands-On Exercise