Challenges for Business Process Intelligence: Discussions at the BPI Workshop 2007

  • Michael Genrich
  • Alex Kokkonen
  • Jürgen Moormann
  • Michael zur Muehlen
  • Roger Tregear
  • Jan Mendling
  • Barbara Weber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4928)


This paper summarizes the discussions at the 3rd Workshop on Business Process Intelligence (BPI 07) which was held at the 5th International Conference on Business Process Management (BPM 07) in Brisbane, Australia. We focus in particular on three cases that were referenced in the BPI roundtable and discuss some practical challenges. Finally, we identify future research directions for business process intelligence.


Data Envelopment Analysis Business Process Business Process Management Contact Centre Multiple Outage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.: Business Process Intelligence. Computers in Industry 53, 321–343 (2004)CrossRefGoogle Scholar
  2. 2.
    van der Aalst, W., Reijers, H., Weijters, A., van Dongen, B., Medeiros, A., Song, M., Verbeek, H.: Business process mining: An industrial application. Information Systems 32, 713–732 (2007)CrossRefGoogle Scholar
  3. 3.
    Sherman, H., Zhu, J.: Service Productivity Management - Improving Service Performance using Data Envelopment Analysis (DEA) (2006)Google Scholar
  4. 4.
    Rose, P., Hudgins, S.: Bank Management & Financial Services (2004)Google Scholar
  5. 5.
    Epstein, M., Henderson, J.: Data envelopment analysis for managerial control and diagnosis. Decision Sciences 20, 90–119 (1989)CrossRefGoogle Scholar
  6. 6.
    Cooper, W., Seiford, L., Zhu, J.: Data Envelopment Analysis: History, Models and Interpretations. In: Cooper, W., Seiford, L., Zhu, J. (eds.) Handbook on Data Envelopment Analysis, pp. 1–39. Kluwer Academic Publishers, Dordrecht (2004)CrossRefGoogle Scholar
  7. 7.
    Paradi, J., Vela, S., Yang, Z.: Assessing Bank and Bank Branch Performance: Modeling Considerations and Approaches. In: Cooper, W., Seiford, L., Zhu, J. (eds.) Handbook on Data Envelopment Analysis, pp. 349–400. Kluwer Academic Publishers, Dordrecht (2004)CrossRefGoogle Scholar
  8. 8.
    Burger, A.: Process performance analysis with dea - new opportunities for efficiency analysis in banking. In: Proceedings to the 5th International Symposium on DEA and Performance Management, Hyderabad, India, p. 1 (2007)Google Scholar
  9. 9.
    Corea, S., Watters, A.: Challenges in business performance measurement: The case of a corporate IT function. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 16–31. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Anderson, E., Oliver, R.: Perspectives on behavior-based versus outcome-based salesforce control systems. Journal of Marketing 51, 76–88 (1987)CrossRefGoogle Scholar
  11. 11.
    Ingvaldsen, J., Gulla, J.: Preprocessing support for large scale process mining of SAP transactions. In: Proceedings of the 3rd Workshop on Business Process Intelligence (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Michael Genrich
    • 1
  • Alex Kokkonen
    • 2
  • Jürgen Moormann
    • 3
  • Michael zur Muehlen
    • 4
  • Roger Tregear
    • 5
  • Jan Mendling
    • 6
  • Barbara Weber
    • 7
  1. 1.Fujitsu Consulting LimitedNewsteadAustralia
  2. 2.Johnson & JohnsonNorth Ryde SydneyAustralia
  3. 3.Frankfurt School of Finance & ManagementFrankfurt am MainGermany
  4. 4.Stevens Institute of TechnologyHobokenUSA
  5. 5.Leonardo ConsultingCanberra ACTAustralia
  6. 6.Queensland University of TechnologyBrisbaneAustralia
  7. 7.University of InnsbruckInnsbruckAustria

Personalised recommendations