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
Link To Document