Cambridge Centre for Applied Process Mining for Management
Course introduction
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.
Programme
The course is structured into a 6-week outline comprising live online teaching and self-study online learning consisting of software training and academic training. A kick-off and final event together with Celonis will round off the course. The live online sessions will be recorded for participants with existing commitments who are unable to attend.
The following focus topics will be covered within the six weeks:
Week 1 - Monday 6 June 2022
- Live Kick-Off Event with guest speaker from Celonis
- Online Learning & Self-Study on Introduction to Process Mining
- Introduction to Individual Research on different fields of application
Week 2 - Monday 13 June 2022
- Live session with Academic Supervisor: Individual research on different fields of application and an academic paper discussion
- Online Learning & Self-Study on Versatile Applications of Process Mining
Week 3 - Monday 20 June 2022
- Introduction to 'Pizzeria Mamma Mia Business Case'
Week 4 - Monday 27 June 2022
- Break - An opportunity to catch-up or a break in the course
Week 5 - Monday 4 July 2022
- Live session with Academic Supervisor: Work on Business Case under mentorship of academic supervisor
- Online Learning & Self-Study on Optimizing Business Value with Process Mining
Week 6 - Monday 11 July 2022
- Live Final Workshop with Celonis covering recent developments in the field
- Online Learning & Self-Study on From Analytics to Operations - Predictive Process Mining & Automation
- Hand in Business Case
Live online sessions
Week 1, Monday 6 June 2022, 15:30 - 17:00 BST, Live Kick-off workshop:
In this first session, you will be welcomed by a guest speaker from Celonis. Key concepts will be introduced, to helpfully lead you into the online self-paced learning. There will be an opportunity to interact with the speaker and ask questions.
Week 2, Monday 13 June 2022, 15:30 - 17:00 BST, Academic Supervisor mentoring session:
Mini presentations of individual research on different fields of application, followed by an academic paper discussion.
Week 5, Monday 4 July 2022, 15:30 - 17:00 BST, Academic Supervisor mentoring session:
The course's Academic supervisor will lead a discussion involving the Business Case and an opportunity for Q&A. This workshop aligns with the Business Case section of the programme started in week 3.
Week 6, Monday 11 July 2022, 15:30 - 17:00 BST, Final workshop:
The last session will be held with Celonis. We will hear about recent developments in the field. There will be an opportunity to interact with the speaker and ask questions.
Academic supervision with Dr Jiayin Hong
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 Dr Jiayin Hong, Postdoctoral Research Fellow at the Cambridge Centre for Data-Driven Discovery and Department of Biochemistry, University of Cambridge.
In her research, Jiayin applies machine learning and data mining techniques to understand how transcriptional regulatory elements coordinate and dictate gene expression. She builds artificial neural networks to predict gene expression, for the ultimate purpose of deciphering the enigma underlying genetic codes. Jiayin also deploys machine learning models to segment and annotate brain MRI images outside her research. Before moving to Cambridge, Jiayin obtained her PhD in Integrated Life Sciences and Physics, from Peking University in China. During her PhD research, Jiayin developed mathematical models and applied theories of nonlinear dynamics to address cell fate determination and cellular decision making.
Registration fee
Early-bird registration
The fee for the whole course is £300, and these charges must be paid before your registration is confirmed. Early-bird registration and payment closes on Sunday 15 May 2022, 23:59 BST. This registration fee is subject to change for future editions of the course.
Register Here
Regular registration
The fee for the whole course is £500, and these charges must be paid before your registration is confirmed. Regular registration and payment will open on Monday 16 May 2022, 09:00 BST and closes on Monday 30 May 2022, 17:00 BST. This registration fee is subject to change for future editions of the course.
Register Here
Prerequisites
No prerequisites are required for this course. This course is best suited to new entrants to Process Mining or those just starting their Process Mining journey. An understanding of information systems and Business Process Model and Notation (BPMN) can provide a good basis, but this is not a requirement.
Target audience
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, and are new to Process Mining concepts and applications. 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.
Co-host Celonis
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.