Business Process Analytics: From Insights to Predictions

8月25日9:10-10:10

Prof. MarlonDumas

Business process analytics is a body of methods for analyzing data generated by the execution of business processes in order to extract insights about weaknesses and improvement opportunities, both at the tactical and operational levels. Tactical process analytics methods (also known as process mining) allow us to understand how a given business process is actually executed, if and how its execution deviates with respect to expected or normative pathways, and what factors contribute to poor process performance or undesirable outcomes. Meantime, operational process analytics methods allow us to monitor ongoing executions of a business process in order to predict future states and undesirable outcomes at runtime (predictive process monitoring). Existing methods in this space allow us to predict for example, which task will be executed next in a case, when, and who will perform it? When will an ongoing case complete? What will be its outcome and how can negative outcomes be avoided. This keynote will present a framework for conceptualizing business process analytics methods and applications. The talk will provide an overview of state-of-art methods and tools in the field and will outline open challenges and research opportunities.

Marlon Dumas is Professor of Information Systems at University of Tartu, Estonia. His research interests span across the fields of software engineering, information systems and Business Process Management (BPM). His ongoing research focuses on combining data mining techniques and formal verification methods to analyze and monitor business processes. He has published over 200 papers in conferences and journals and he is one of the top-5 most cited researchers in the field of BPM. His research has received 10 best paper awards at international conferences and two test-of-time awards. He is co-inventor of seven granted patents and co-author of the textbook "Fundamentals of Business Process Management", which is used in more than 200 universities worldwide.