Short course

Business Process Mining

Fees

  • $2,200 per person
  • Price is GST inclusive
  • A 25% discount is currently available
  • Fees include course material, catering, additional readings and comprehensive feedback.

Dates

  • 21-23 August 2019 - (2.5 days)

View workshop agenda

Location

University of Melbourne, Parkville

Find out more

Phone: +61 3 8344 0149

Register for updates

Data abounds in modern organisations, but data without meaning is useless. This short course provides a hands-on introduction to the fascinating area of business process mining.

Overview

Process mining is an innovative approach to extract business process insights from transactional data commonly recorded by IT systems. The idea is to use this data to analyse and improve organisational productivity along performance dimensions such as efficiency, quality, compliance and risk. By using data rather than perceptions gained from interviews and workshops, process mining shifts the way of thinking from “confidence-based” to “evidence-based” business process management.

This course will illustrate the main techniques and tools for process mining, discuss what analytics can be extracted, and how these can be visualised and interpreted to gain better insights on how an organisation actually works. Concepts and techniques are put into practice through a range of examples, compelling case studies and supervised exercises deriving from various industry domains. Armed with this knowledge, you will be able to run your first process mining project and gain the required buy-in to put up a case for process improvement based on your process mining results.

Who should apply

Please note: University of Melbourne staff must book via the University's TrainME portal

This course addresses the needs of professionals involved in organisational improvement and operational excellence projects, such as business analysts and process analysts, as well as IT staff such as solution architects. The course is particularly suitable for those who have an analytical mindset to understand, interpret and gain insights from data analytics.

Academic and teaching team

  • Professor Marcello La Rosa
    Professor of Information Systems, School of Computing and Information Systems

    Professor Marcello La Rosa is Deputy Head of School (Engagement) and leads the Information Systems group within the School of Computing and Information Systems at the University of Melbourne. He published over 100 papers in different topics related to BPM. Marcello has taught BPM and provided consultancy services, executive training and strategic advice to numerous organisations, both nationally and overseas, for over 10-years. Based on this experience, Marcello co-authored “Fundamentals of Business Process Management” (Springer, 2nd edition), which has been adopted by over 200 universities in the world. Using this textbook, he co-developed a series of MOOCs on the subject, attracting over 25,000 participants to date.

This course is presented in partnership with the Melbourne School of Engineering and the School of Computing and Information Systems.