Process Mining with Celonis

Learn and practice how to combine data science and process mapping techniques to visualize processes with real data

Created by: Dennis Arrindell
Data-driven Health Economist

What Will I Learn?

• Process mining
• The role of process mining in the broader context of business process management
• Applied process mining with Celonis Free Plan (Formely Celonis Snap)
• Hands-on practical experience with process mining use cases of various degrees of complexity

Requirements

• Students will need a computer with access to the internet not only to follow the course, but also because Celonis Free Plan (Formely Celonis Snap) is a cloud-based application. Some familiarity with working with structured data is required, as process mining often requires a degree of data transformation before ingesting the data into the process mining application.

Target audience

• This course is most valuable for people that work in an organization in which products and services are the result of processes that leave a digital footprint. Examples are supervisors responsible for: Assembly line industrial manufacturing; Coordinating patient journeys through a hospital; The flow of loan applications at a bank; Logistic coordination and supply chain management. This course will radically transform the ability of students to discover, monitor and enhance these processes. People that work with systems such as Scientific management (Taylorism), Kanban, Lean Six Sigma, Theory of Constraints, Bottleneck Identification and Just-In-Time (JIT) will greatly benefit from this course, because process mining unlocks a data-driven factor into these approaches to production process management. Other types of students that will benefit from this course are: Individuals with a background in process mapping, flowcharting and business process modelling (BPM). Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations. Individuals curious about process mining.