Process Mining Training in Copenhagen, Denmark

This course will cover:

• Introduction to Process Mining and its Business Value

• Understanding Event Logs and Data Extraction

• Process Discovery Techniques and Models

• Performance Analysis and Bottleneck Identification

• Conformance Checking and Compliance Analysis

• Enhancing Automation with AI and RPA (Robotic Process Automation)

• Hands-on Implementation with Process Mining Tools

Introduction to Process Mining

• What is process mining?

• Differences between Process Mining, Business Process Management (BPM), and Data Mining

• Use cases and industries benefiting from process mining

Event Logs and Data Preparation

• Understanding event logs (cases, activities, timestamps)

• Data extraction and preprocessing

• Handling missing or incomplete data

Process Discovery and Visualization

• Process models and flow analysis

• Algorithm-based process discovery (Alpha, Heuristic, Inductive)

• Hands-on process discovery with tools

Performance Analysis and Bottleneck Detection

• Identifying bottlenecks and inefficiencies

• Measuring process performance and KPIs

• Real-world case studies

Conformance Checking and Compliance Analysis

• Comparing actual vs. expected process behavior

• Detecting violations and compliance risks

• Automating audits with process mining

Advanced Process Mining and AI Integration

• Integrating AI and Machine Learning with process mining

• Using RPA for process automation

• Best practices for scalability and implementation