Brisbane - Viewing the World through a Process Lens
Processes today are complex, and they are supported by digital technologies which keep detailed records of, when tasks are completed, and who completed them. These records can then be analysed to show how processes really performed in the past. Concrete evidence from such analysis can guide organisations to increase operational efficiencies in terms of time and cost.
Process Mining is a research discipline that combines data mining, process management and visualisation techniques, to extract valuable insights from event data such as when and how the activities are carried out or where delays occurred in process executions. Process mining techniques have been applied to many different organisations – for example, over 150 organisations worldwide and in Australia.
Prof. Moe Thandar Wynn
Prof Wynn has over ten years of experience in engaging with Australian industry partners to improve business practices through data-driven methods. She has worked with Australian stakeholders, in a range of sectors including healthcare, insurance, utility, logistics, government and education to pinpoint inefficiencies and derive process improvements. During the presentation, she will share her views on how BPM principles in general and process mining techniques, in particular, can be used by organisations to gain insights into the real behaviour of their processes.
Dr. Kanika Goel
Kanika is an academic at Queensland University of Technology, Brisbane, Australia. She has completed her Ph.D. in the area of Business Process Management and is a strong advocate of process improvement for enhanced business performance. Kanika operates both in the technical and managerial side of Business Process Management and has applied those skills to industry projects.
Kanika’s current research interests include process management, process mining, NoSQL databases, and data quality. She has received QUT Vice-Chancellor’s Excellence Award (in a team) in 2019 for innovation and creative practice excellence in the area of Business Process Management.