Course Outline
Introduction
Overview of Process Mining types • Analysis examples • Notation types used in Process Mining • XES data standard
Advanced tools for Process Mining
• ProM, Apromore • Advanced Process Discovery • Compliance Study • Bottlenecks • Time Analysis • Process Drift • Root Cause Investigation • Process Perspective
Implementation of Process Mining
Process Mining Lifecycle • Process Mining Best Practices • Process Mining Project Roles • Event Logs Maturity
Exercises
Summary and Conclusions
Requirements
Requirements
• Basic knowledge of Process Mining (Basic experience with at least one Process Mining tool) • Knowledge of process notation (BPMN, process maps)
Audience • Managers of teams Data Science and teams dealing with Process monitoring/improvement • Managers responsible for Process automation • Process analysts interested in expanding practical knowledge in the field of Process Mining
Testimonials (5)
Professional knowledge from the market provided by an expert
Bartlomiej Srednicki - GP Strategies Poland sp. z o.o.
Course - Fintech: A Practical Introduction for Managers
Poruszenie wszystkich punktów zawartych w programie szkolenia oraz elastyczność prowadzącego na formę prowadzenia zajęć i tematy, które w danym momencie uczestnik szkolenia chciał rozwinąć
Mateusz Gaweł
Course - Podstawy inżynierii wymagań i analizy
Open discussion about various issues and examples of events we may encounter when creating requirements.
Piotr - Nippon Seiki Europe
Course - IREB CPRE Foundation - przygotowanie do egzaminu
Machine Translated
Forma przekazania wiedzy poprzez dokładne wyjaśnienie zagadnienia.
Katarzyna Stańczak - Mowi Poland SA
Course - Data Mining and Analysis
The content, as I found it very interesting and think it would help me in my final year at University.