• DocumentCode
    2001793
  • Title

    Business process monitoring & measurement in a large bank: challenges and selected approaches

  • Author

    Küng, Peter ; Hagen, Claus ; Rodel, Marisa ; Seifert, Sandra

  • Author_Institution
    Credit Suisse, Zurich, Switzerland
  • fYear
    2005
  • fDate
    22-26 Aug. 2005
  • Firstpage
    955
  • Lastpage
    961
  • Abstract
    In order to gain competitive advantage, many companies are engaging in the reorganization of their business processes and in implementing automated or semi-automated process execution based on workflow and process engines. In order to improve business processes continuously, closed-loop systems are required. This paper describes how a combination of process modeling, process execution, and process measurement has been applied at Credit Suisse, a large Swiss bank operating internationally. The paper shows that explicit process models are a vital requirement for process measurement. Moreover, it illustrates the strengths and limitations of a particular performance management tool that has been in place for about a year. Based on practical experience with different process engines and a process performance management software, alternative architectures are suggested to support process monitoring, process measurement, and business activity monitoring (BAM).
  • Keywords
    bank data processing; business data processing; workflow management software; Credit Suisse; Swiss bank; automated process execution; business activity monitoring; business process monitoring; competitive advantage; performance management tool; process engine; process measurement; process modeling; workflow management; Business process re-engineering; Companies; Computer architecture; Computerized monitoring; Engines; Gain measurement; Magnesium compounds; Outsourcing; Software measurement; Software performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2424-9
  • Type

    conf

  • DOI
    10.1109/DEXA.2005.60
  • Filename
    1508397