BAMN: a modeling method for business activity monitoring systems

Janiesch C, Matzner M (2019)


Publication Language: English

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2019

Journal

Publisher: Taylor and Francis Ltd.

Book Volume: 28

Pages Range: 185-223

Journal Issue: 3

DOI: 10.1080/12460125.2019.1631682

Abstract

Business Activity Monitoring (BAM) is a real-time process analytics concept, which provides low-latency insights into process performance. The development of BAM systems requires the specification of aggregated process metrics, instance measures to monitor process instances, and links to data producers as well as data consumers so that the origin of metrics can be traced as can its impact and potential reactions. Common process modeling methods, such as BPMN, do not cover monitoring aspects. This paper proposes a modeling method to specify BAM systems, the Business Activity Monitoring Notation (BAMN), as a vehicle for users to create shared representations of BAM requirements, BAM specifications, and BAM systems. The method covers insight-to-action feedback loops, which can enable BPM systems to react automatically on BAM observations or inferences rather than displaying information only. BAMN includes BPM-related constructs, a notation as well as a procedure model and guidance on serializing models into code.

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How to cite

APA:

Janiesch, C., & Matzner, M. (2019). BAMN: a modeling method for business activity monitoring systems. Journal of Decision Systems, 28(3), 185-223. https://doi.org/10.1080/12460125.2019.1631682

MLA:

Janiesch, Christian, and Martin Matzner. "BAMN: a modeling method for business activity monitoring systems." Journal of Decision Systems 28.3 (2019): 185-223.

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