• DocumentCode
    3439201
  • Title

    Business Process Insight: An Approach and Platform for the Discovery and Analysis of End-to-End Business Processes

  • Author

    Rozsnyai, Szabolcs ; Lakshmanan, Geetika T. ; Muthusamy, Vinod ; Khalaf, Rania ; Duftler, Matthew J.

  • Author_Institution
    T.J. Watson Res. Center, IBM, Hawthorne, NY, USA
  • fYear
    2012
  • fDate
    24-27 July 2012
  • Firstpage
    80
  • Lastpage
    89
  • Abstract
    Tracking and analyzing the execution of semi-structured processes is essential for understanding process behavior and its evolution, increasing the effectiveness of business operations, and managing operational risk. A semi structured process is a single process from the perspective of the business but is executed across loosely coupled, heterogeneous, distributed systems and may be cross-organizational and contain human interactions and human decision making. Our goal is to enable the management of semi-structured processes by providing improved semi-automated visibility into their behavior and improved runtime management of their execution by leveraging process intelligence and process-aware analytics. In this paper we present a methodology, system architecture and implementation of a platform for end to end process insight and analytics for the full life-cycle of semi-structured processes: from discovery through execution and evolution. We describe the algorithms employed and how they interact together to create a collaborative platform for business users to analyze and extract insight from such processes.
  • Keywords
    business data processing; groupware; business operations; business process insight; business users; collaborative platform; distributed systems; end-to-end business processes; heterogeneous systems; human decision making; human interactions; improved runtime management; process intelligence; process-aware analytics; semi-structured processes; Business; Computational modeling; Correlation; Data mining; Data structures; Engines; Predictive models; Process intelligence toolset; insight; process-aware analytics; runtime management; semi-structured processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SRII Global Conference (SRII), 2012 Annual
  • Conference_Location
    San Jose, CA
  • ISSN
    2166-0778
  • Print_ISBN
    978-1-4673-2318-5
  • Electronic_ISBN
    2166-0778
  • Type

    conf

  • DOI
    10.1109/SRII.2012.20
  • Filename
    6310984