Building a Process Performance Model for Business Activity Monitoring

Costello, Claire; Molloy, Owen

doi:10.1007/978-0-387-68772-8_19

Cited by 16 publications

(18 citation statements)

References 7 publications

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“…One of the main goals of BAM is to minimize the latency [3] of decision making by providing support for immediate operational decisions and for taking adequate actions [2] based on real-time information [20]. While Gartner's approach to BAM is rather broad, we have a more focused understanding of BAM, which concentrates on business processes (instead of general activities).…”

Section: Business Activity Monitoringmentioning

confidence: 99%

“…Process events are automatically matched with monitoring contexts to calculate process metrics. Finally, COSTELLO and MOLLOY present an approach for incorporating event definitions, performance metrics and thresholds into (XML-based) process models to be used in a BAM setting [2], [3]. The authors take account of the need for a closer integration of process modeling and BAM.…”

Section: A Review Of Related Approachesmentioning

confidence: 99%

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Extending BPMN for Business Activity Monitoring

Friedenstab

Janiesch

Matzner

et al. 2012

2012 45th Hawaii International Conference on System Sciences

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Real-time access to key performance indicators is necessary to ensure timeliness and effectiveness of operational business processes. The concept of Business Activity Monitoring (BAM) refers to the observation, analysis, and presentation of real-time information about business activities across systems' and companies' borders. Designing and maintaining BAM applications is challenging, as the involved concepts (e.g., business processes, audit logs, performance measures) -though being strongly interrelated-are developed by different communities of practice. Also, they reside on different levels of abstraction, and are handled by different IT systems. Hence, we developed a conceptual modeling language which extends the widely accepted Business Process Modeling Notation (BPMN) by BAM-relevant concepts. The main results presented in this paper are: (1) a meta-model which formally describes the conceptual aspects of the developed BPMN extension (abstract syntax); (2) graphical symbols as an exemplary representation of this abstract syntax (concrete syntax); (3) a demo scenario that illustrates the application of the language in a fictitious scenario.

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Section: Business Activity Monitoringmentioning

confidence: 99%

Section: A Review Of Related Approachesmentioning

confidence: 99%

Extending BPMN for Business Activity Monitoring

Friedenstab

Janiesch

Matzner

et al. 2012

2012 45th Hawaii International Conference on System Sciences

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“…Costello and Molloy (2009) and González et al (2009) are some of the authors who have already identified this problem and have made some proposals to improve the comprehension of PPI definitions and bring them closer to non-technical stakeholders. Their proposals include a PPI visual model and ''a language for high-level monitoring, measurement data collection and control of business processes'', although On the other hand, Korherr and List (2007) have extended the BPMN and EPC metamodels in order to define business process goals and performance measures, including cost, quality, and cycle time measures, although only cycle time measures are explicitly connected to business process elements and visually modelled.…”

Section: Ppi Definition Approachesmentioning

confidence: 99%

“…Finally, from an academic perspective, a number of research proposals for the definition of PPIs have been presented (Castellanos et al 2005;Popova and Sharpanskykh 2010;Saldivar et al 2016;Pedrinaci et al 2008;Wetzstein et al 2008;Momm et al 2007;Costello and Molloy 2009;González et al 2009;Friedenstab et al 2012;Delgado et al 2014), but all of them fall short both of expressiveness to define most PPIs that can be found in real scenarios, and of visually representing the links between PPIs and business process models (see Sect. 9.1 for more details).…”

Section: Introductionmentioning

confidence: 99%

Visual ppinot: A Graphical Notation for Process Performance Indicators

et al. 2017

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Process performance indicators (PPIs) allow the quantitative evaluation of business processes, providing essential information for decision making. It is common practice today that business processes and PPIs are usually modelled separately using graphical notations for the former and natural language for the latter. This approach makes PPI definitions simple to read and write, but it hinders maintenance consistency between business processes and PPIs. It also requires their manual translation into lower-level implementation languages for their operationalisation, which is a time-consuming, error-prone task because of the ambiguities inherent to natural language definitions. In this article, VISUAL PPINOT, a graphical notation for defining PPIs together with business process models, is presented. Its underlying formal metamodel allows the automated processing of PPIs. Furthermore, it improves current state-of-the-art proposals in terms of expressiveness and in terms of providing an explicit visualisation of the link between PPIs and business processes, which avoids inconsistencies and promotes their co-evolution. The reference implementation, developed as a complete tool suite, has allowed its validation in a multiple-case study, in which five dimensions of VISUAL PPINOT were studied: expressiveness, precision, automation, understandability, and traceability.

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“…Finally, the supposed high level definitions support by means of a graphical notation is quite limited, only cycle time measures can be modelled. Costello and Molloy (2009) propose a model to include the definition of PPIs into process models. They define events associated to what they call process (business activity).…”

Section: S-3mentioning

confidence: 99%

Using templates and linguistic patterns to define process performance indicators

del–Río–Ortega

Resinas

Durán

et al. 2014

Enterprise Information Systems

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Process performance management (PPM) aims at measuring, monitoring and analysing the performance of business processes (BPs), in order to check the achievement of strategic and operational goals and to support decision making for their optimisation. PPM is based on process performance indicators (PPIs), so having an appropriate definition of them is crucial. One of the main problems of PPIs definition is to express them in an unambiguous, complete, understandable, traceable and verifiable manner. In practice, PPIs are defined informally -usually in ad-hoc, natural language, with its well-known problems-or they are defined from an implementation perspective, hardly understandable to nontechnical people. In order to solve this problem, in this article we propose a novel approach to improve the definition of PPIs using templates and linguistic patterns. This approach promotes reuse, reduces both ambiguities and missing information, is understandable to all stakeholders and maintains traceability with the process model. Furthermore, it enables the automated processing of PPI definitions by its straightforward translation into the PPINOT metamodel, allowing the gathering of the required information for their computation as well as the analysis of the relationships between them and with BP elements.

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Building a Process Performance Model for Business Activity Monitoring

Cited by 16 publications

References 7 publications

Extending BPMN for Business Activity Monitoring

Extending BPMN for Business Activity Monitoring

Visual ppinot: A Graphical Notation for Process Performance Indicators

Using templates and linguistic patterns to define process performance indicators

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