The utmost importance of data for process-aware software systems has led to the emergence of data-centric process support paradigms, e.g., artifact-centric, object-aware, and data-driven approaches to BPM. By tightly integrating process and data, these approaches differ significantly from the widely used activity-centric process paradigm, aiming at the support of data-intensive business processes and offering by far the highest flexibility. In particular, the progress of a data-centric process depends on the availability of data rather than on the completion of activities. Moreover, the focus has shifted from large, monolithic activity-centric processes towards rather small data-driven processes (e.g., object lifecyces), which need to collaborate in order to reach a particular business goal. The keynote speech will provide profound insights into fundamental concepts, features and enabling technologies of data-centric approaches to BPM. Moreover, it will discuss how this process support paradigm opens up new avenues with respect to the engineering, automation, and monitoring of large-scale business processes in the era of digitization and Industry 4.0.
Data-centric, Large-scale Process Management Software: Engineering, Technologies, Application
Universität Ulm Universität UlmInvited Keynote Presentation
10th Int'l Symposium on Business Modeling and Software Design, Potsdam, 6-8 July 2020