Mike A. Marin

Data Centric BPM and the Emerging Case Management Standard: A Short Survey

Case Management, with its emphasis on the case folder as the anchor for managing business processes, is emerging as a way to provide rich flexibility for knowledge workers while retaining key advantages of BPM systems. This has introduced new challenges in connection with modeling case processes. This short survey traces the history of key modeling ideas and constructs that are being incorporated into the emerging “Case Management Model and Notation (CMMN)” response to the Object Management Group (OMG) request for proposals for a Case Management Process Modeling standard.

Case Management: An Evaluation of Existing Approaches for Knowledge-Intensive Processes

Process support for knowledge work is far from being mastered in existing information systems. Predominant workflow management solutions are too rigid and provide no means to deal with unpredictable situations. Various case management approaches have been proposed to support this flexibility for unstructured processes. Recently the Object Management Group published the Case Management Model and Notation (CMMN) as a standard notation for case management. In this paper we compare prominent definitions of case management over the last twenty-three years against characteristics of knowledge-intensive processes (KiPs). Our goal is to evaluate the applicability of case management and CMMN for KiPs. We provide requirements for execution environments implementing CMMN and delineate existing case management approaches to advance the understanding of this important domain. We concluded that CMMN seems to be a suitable approach to KiPs when combined with an appropriate execution environment.

Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution

Hybrid process models are considered an attractive approach for modeling knowledge-intensive processes. A hybrid process model combines both imperative and declarative modeling, which can handle both the structured and the flexible parts of a business process. However, it is difficult and time-consuming to create and refine a hybrid process model due to its structure complexity and case variability. This paper introduces the Case Analytics Workbench, an end-to-end system to accelerate hybrid process model creation and evolution by combining declarative and imperative process mining, event log clustering and human interaction in a cloud environment. We validated the effectiveness and applicability of our system by performing two case studies from insurance and health care industry respectively.