Abstract
Business Process Management systems (BPMS) are a rich source of events that document the execution of processes and activities within these systems. Business Process Management analytics is the family of methods and tools that can be applied to these event streams in order to support decision making in organizations. The analysis of process events can focus on the behavior of completed processes, evaluate currently running process instances, or focus on predicting the behavior of process instances in the future. This chapter provides an overview of the different methods and technologies that can be employed in each of these three areas of process analytics. We discuss the underlying format and types of process events as the common source of analytics information, present techniques for the aggregation and composition of these events, and outline methods that support backward- and forward-looking process analytics.
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Notes
- 1.
For a thorough discussion of common pitfalls of process simulation models we point the interested reader to van der Aalst et al. (2010).
References
Burmistrov I, Leonova A (1996) Effects of interruptions on the computerised clerical task performance. Human-computer interaction: human aspects of business computing. Proc EWHCI 96:21–29
Golfarelli M, Rizzi S, Cella I (2004) Beyond data warehousing: what’s next in business intelligence? In: Proceedings of the 7th ACM international workshop on Data warehousing and OLAP, pp 1–6
Grigori D et al. (2004) Business process intelligence. Comput Ind 53:321–343
Hackathorn R (2002) Minimizing action distance. DM Rev 12:22–23
Heckl D, Moormann J (2010) Process performance management. In: vom Brocke J, Rosemann M (eds) Handbook on business process management, vol 2. Springer Heidelberg
List B et al. (2001) Multidimensional business process analysis with the process warehouse. Kluwer International series in engineering and computer science, pp 211–228
McCoy D (2002) Business activity monitoring: Calm before the storm. Gartner Research Note LE-15-9727
McLellan M (1996) Workflow metrics – one of the great benefits of workflow management. In: Oesterle H, Vogler P (eds) Praxis des workflow-management. Vieweg, Braunschweig, pp 301–318
OASIS (2008a) Web services – Human task (WS-HumanTask) specification. 1.1 working draft, organization for the advancement of structured information standards
OASIS (2008b) WS-BPEL extension for people (BPEL4People) specification version 1.1. 1.1 working draft, organization for the advancement of structured information standards
Pau KC, Si YW, Dumas M (2007) Data Warehouse Model for Audit Trail Analysis in Workflows. In: Proceedings of the Student Workshop of 2007 IEEE International Conference on e-Business Engineering, (ICEBE)
Rosemann M, Denecke T, Puettmann M (1996) PISA – process information system with access. Design and realisation of an information system for process monitoring and controlling (German). Arbeitsberichte des Instituts fuer Wirtschaftsinformatik. Universitaet Münster, Germany
Sayal M et al. (2002) Business process cockpit. In: Proceedings of the 28th international conference on very large data bases. pp 880–883
Schiefer J, Jeng JJ, Bruckner RM (2003) Real-time workflow audit data integration into data warehouse systems. In: 11th European conference on information systems
van der WMP Aalst et al. (2007) Business process mining: an industrial application. Inf Syst 32:713–732
van der Aalst WMP, Nakatumba J, Rozinat A, Russell N (2010) Business process simulation. In: vom Brocke J, Rosemann M (eds) Handbook on business process management, vol 1. Springer, Heidelberg
van Dongen BF, van der Aalst WMP (2005) A meta model for process mining data. In: J. Casto, E. Teniente (Eds.), Proceedings of the CAiSE'05 Workshops (EMOI-INTEROP Workshop), FEUP, Porto, Portugal, vol. 2, pp 309–320
WfMC (1999) Audit data specification. Version 2. document number WFMC-TC-1015, available at www.wfmc.org
WfMC (2009) Business process analytics format – Draft specification. 1.0, Document number WFMC-TC-1015 available at www.wfmc.org
WfMC (2004) Wf-XML 2.0 – XML-based protocol for run-time integration of process engines. WfMC, Nov, WfMC-TC-1023, available at www.wfmc.org
zur Muehlen M (2004) Workflow-based process controlling. foundation, design, and implementation of workflow-driven process information systems. Logos, Berlin
zur Muehlen M, Klein F (2000) AFRICA: Workflow interoperability based on XML-messages. CAiSE 2000 International workshop on infrastructures for dynamic business-to-business service outsourcing
zur Muehlen M, Rosemann M (2000) Workflow-based process monitoring and controlling – technical and organizational issues. Proceedings of the 33rd Hawai’i International Conference on System Sciences, IEEE, Waikoloa, HI
zur Muehlen M, Ho DT (2008) Service Process Innovation: A Case Study of BPMN in Practice, Ralph Sprague, Jr., Proceedings of the 41st Hawai’i International Conference on System Sciences, IEEE, Waikoloa, HI
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zur Mühlen, M., Shapiro, R. (2010). Business Process Analytics. In: vom Brocke, J., Rosemann, M. (eds) Handbook on Business Process Management 2. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01982-1_7
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DOI: https://doi.org/10.1007/978-3-642-01982-1_7
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