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Business Process Performance Measurement

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Encyclopedia of Big Data Technologies

Definitions

Business process performance measurement, commonly shortened to process performance measurement (PPM), aims at checking the achievement of strategic and operational goals and supporting decision-making for the continuous optimization of business processes. It involves the definition, gathering, visualization, and analysis of a set of indicators that evaluate performance-relevant data of one or several business processes. These indicators, usually known as process performance indicators (PPIs), are quantifiable metrics that allow an evaluation of the efficiency and effectiveness of business processes and can be measured directly by data generated within the process flow. For instance, one could have a PPI for an order-to-cash process that specifies that its cycle time should be less than 20 working days in order to keep customer satisfaction.

Overview

Traditionally, process performance measurement (PPM) focused on the strategic and tactical level most frequently taking into...

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References

  • Aalst WMPvd (2013) Process cubes: slicing, dicing, rolling up and drilling down event data for process mining. In: Asia Pacific business process management (AP-BPM), pp 1–22

    Google Scholar 

  • Adams C, Neely A (2002) Prism reform. Financ Manag 5:28–31

    Google Scholar 

  • Brand N, Kolk H (1995) Workflow analysis and design. Bedrijfswetenschappen: Kluwer, Deventer

    Google Scholar 

  • Brignall T, Fitzgerald L, Johnston R, Silvestro R (1991) Performance measurement in service businesses. Manag Account 69(10):34–36

    Google Scholar 

  • Castellanos M, Casati F, Shan MC, Dayal U (2005) ibom: a platform for intelligent business operation management. In: Proceeding of the 21st international conference on data engineering, pp 1084–1095

    Google Scholar 

  • Claes J, Vanderfeesten I, Pinggera J, Reijers HA, Weber B, Poels G (2015) A visual analysis of the process of process modeling. ISeB 13(1):147–190

    Article  Google Scholar 

  • del Río-Ortega A, García F, Resinas M, Weber E, Ruiz F, Ruiz-Cortés A (2017a) Enriching decision making with data-based thresholds of process-related kpis. In: Proceedings of 29th the international conference on advanced information systems engineering (CAiSE), pp 193–209

    Google Scholar 

  • del Río-Ortega A, Resinas M, Cabanillas C, Ruiz-Cortés A (2013) On the definition and design-time analysis of process performance indicators. Inf Syst 38(4): 470–490

    Article  Google Scholar 

  • del Río-Ortega A, Resinas M, Durán A, Bernárdez B, Ruiz-Cortés A, Toro M (2017b) Visual PPINOT: a graphical notation for process performance indicators. Bus Inf Syst Eng. https://link.springer.com/article/10.1007/s12599-017-0483-3

  • del Río-Ortega A, Resinas M, Durán A, Ruiz-Cortés A (2016) Using templates and linguistic patterns to define process performance indicators. Enterp Inf Syst 10(2):159–192

    Article  Google Scholar 

  • Dumas M, La Rosa M, Mendling J, Reijers HA (2013) Fundamentals of business process management. Springer, Berlin/Heidelberg

    Book  Google Scholar 

  • EFQM (2010) Efqm excellence model. Available from: http://www.efqm.org/the-efqm-excellence-model

  • Few S (2006) Information dashboard design: the effective visual communication of data. O’Reilly Media, Inc., Beijing

    Google Scholar 

  • Friedenstab JP, Janiesch C, Matzner M (2012) Extending BPMN for business activity monitoring. In: Proceeding of the 45th Hawaii international conference on system science (HICSS), pp 4158–4167

    Google Scholar 

  • Hompes BFA, Maaradji A, Rosa ML, Dumas M, Buijs JCAM, Aalst WMPvd (2017) Discovering causal factors explaining business process performance variation. In: Advanced information systems engineering (CAiSE), pp 177–192

    Google Scholar 

  • Jansen-Vullers MH, Kleingeld PAM, Netjes M (2008) Quantifying the performance of workflows. Inf Syst Manag 25(4):332–343

    Article  Google Scholar 

  • Kaplan RS, Norton DP (1996) The balanced scorecard: translating strategy into action. Harvard Business School Press, Boston

    Google Scholar 

  • Keagan D, Eiler R, Jones C (1989) Are your performance measures obsolete? Manag Account 70(12): 45–50

    Google Scholar 

  • Korherr B, List B (2007) Extending the EPC and the BPMN with business process goals and performance measures. In: Proceeding of the 9th international conference on enterprise information systems (ICEIS), vol 3, pp 287–294

    Google Scholar 

  • Kueng P (2000) Process performance measurement system: a tool to support process-based organizations. Total Qual Manag 11(1):67–85

    Article  Google Scholar 

  • Low WZ, van der Aalst WMP, ter Hofstede AHM, Wynn MT, De Weerdt J (2017) Change visualisation: analysing the resource and timing differences between two event logs. Inf Syst 65:106–123

    Article  Google Scholar 

  • Lynch R, Cross K (1991) Measure up!: the essential guide to measuring business performance. Mandarin, London

    Google Scholar 

  • McChesney C, Covey S, Huling J (2012) The 4 disciplines of execution: achieving your wildly important goals. Simon and Schuster, London

    Google Scholar 

  • Popova V, Sharpanskykh A (2010) Modeling organizational performance indicators. Inf Syst 35(4):505–527

    Article  Google Scholar 

  • Richter F, Seidl T (2017) TESSERACT: time-drifts in event streams using series of evolving rolling averages of completion times. In: Business process management (BPM), pp 289–305

    Google Scholar 

  • Saldivar J, Vairetti C, Rodríguez c, Daniel F, Casati F, Alarcón R (2016) Analysis and improvement of business process models using spreadsheets. Inf Syst 57: 1–19

    Article  Google Scholar 

  • Soffer P, Wand Y (2005) On the notion of soft-goals in business process modeling. Bus Process Manag J 11:663–679

    Article  Google Scholar 

  • van der Aa H, Leopold H, del-Río-Ortega A, Resinas M, Reijers HA (2017) Transforming unstructured natural language descriptions into measurable process performance indicators using hidden markov models. Inf Syst 71:27–39

    Google Scholar 

  • Van Looy A, Shafagatova A (2016) Business process performance measurement: a structured literature review of indicators, measures and metrics. SpringerPlus 5(1797):1–24

    Google Scholar 

  • Wetzstein B, Ma Z, Leymann F (2008) Towards measuring key performance indicators of semantic business processes. Bus Inf Syst 7:227–238

    Article  Google Scholar 

  • Wynn MT, Poppe E, Xu J, ter Hofstede AHM, Brown R, Pini A, van der Aalst WMP (2017) ProcessProfiler3d: a visualisation framework for log-based process performance comparison. Decis Support Syst 100:93–108

    Article  Google Scholar 

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Correspondence to Adela del-Río-Ortega .

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del-Río-Ortega, A., Resinas, M., Ruiz-Cortés, A. (2019). Business Process Performance Measurement. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_99

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