Applied Process Mining for Management
Process Mining has revolutionized the way we analyze and optimize processes in business. Performance Problems traditionally caused long-winded manual investigations into the underlying business process looking at interview data, observations or deciphering process documentations. All of these traditional methods are time and cost consuming and only provide fractional insights. Process Mining uses a data-science approach to process science making analyses more objective, detailed and faster to obtain.
This course is designed to provide an applied introduction to Process Mining, its industry use cases and the theoretical concepts behind it. The course furthermore delivers advanced software skills in the Celonis Execution Management Software.
The course is structured into a 5-week outline comprising online teaching, self-study consisting of software training and academic training, group work and discussion mentored by an academic supervisor. A kick-off and final event together with Celonis will round off the course.
The following focus topics will be covered within the five weeks:
Week 1: Introduction to Process Mining
- Official Kick-Off Event with guest speaker from Celonis
- Online Learning & Self-Study on fundamental concepts behind Process Mining
Week 2: Versatile Applications of Process Mining
- Mentored Group Research on different application fields
- Online Learning & Self-Study on Process Mining in Finance, Healthcare, Marketing Analytics and Supply Chain
Week 3: Process Mining & Robotic Process Automation (RPA)
- Online Learning & Self-Study on the intersection of Process Mining & RPA
- Introduction of Business Case
Week 4: Optimizing Business Value with Process Mining
- Work on Business Case under mentorship of academic supervisor
- Online Learning & Self-Study on calculating the business value behind process optimization
Week 5: From Analytics to Operations
- Hand in Business Case
- Final Workshop with Celonis covering recent developments in the field
- Online Learning & Self-Study on Enhancement, Predictive Process Mining and Organisational Mining
The course runs from 31 August to 27 September. Early expressions of interest for this course are now being collected!
Academic supervision with Edward Elson Kosasih
An academic supervisor will be guiding participants through the course, supporting learning and on hand to answer any queries.
For this course, the academic supervisor will be Edward Elson Kosasih, PhD researcher at the Cambridge Centre for Data-Driven Discovery and Institute for Manufacturing, University of Cambridge.
His research focuses on using machine learning and graph theory to model supply chain risks. He’s also involved in the Supply Chain Digital Twin project, a Pitch-in collaboration between Cambridge and Oxford. Before pursuing his doctoral degree, Edward worked as a data scientist in Keysight Technologies, an S&P 500 electronics test and measurement equipment and software design company. He has built and deployed machine learning models to manufacturing customers across the globe from different industries such as semiconductor, automotive, communications, energy and defense.
Expression of interest
We are now accepting expressions of interest to participate in the August/September course. Please submit your interest, and you will be first to receive notification that registrations are open. Submitting an expression of interest will also assist planning and whether we need to consider additional courses soon.
£300 for the whole course, for all participants. These charges must be paid before your registration is confirmed. This registration fee is subject to change for future editions of the course.
Open to everyone in industry, government, and third sector interested in data science and its impact on business. Suitable for early career employees through to executive-level, and anyone in between. The course will be particularly suited to those in decision making and project management positions or those have management aspirations. We will look into how Process Mining software as tool can assist Management decisions. Process Mining has developed from a purely data analytics tool towards an operational tool actively assisting everyday decision making in management. If you are not sure whether this course is right for you, please get in touch, we are happy to help you.
No prerequisites are required for this course. An understanding of information systems and Business Process Model and Notation (BPMN) can provide a good basis, but this is not a requirement.
International unicorn and market leader for Enterprise Performance Acceleration Software Celonis is the co-host the course. Celonis has turned from a 3-man student startup into an international software company with 1000 employees and office locations across Germany, the US, the UK, Japan, the Netherlands, Spain, France and Norway.