Paper Info
Title
Enterprise Operational Analysis Using DEMO and the Enterprise Operating System
Abstract
Monitoring and analyzing the operation of enterprises is a key capability of Governance, Risk, and Compliance (GRC) solutions and is relevant for high-risk organizations, such as financial services. The potential of state-of-the-art process mining (data-driven process analysis) is limited by quality issues with transactional data registration and extraction. A novel approach is proposed to address these challenges: the Enterprise Operational Analysis (EOA) founded in DEMO and the Enterprise Operating System (EOS). The EOS is a software system based on enterprise engineering, and stores, interprets, and executes DEMO models as native source code. The EOS provides workflow-like capabilities and supports EOA. Combining the EOS with state-of-the-art process mining offers the following advantages: guaranteed completeness of analysis, elimination of 'mining' for events, facilitating process conformance checking, analysis on various levels of granularity from various perspectives. It enables enterprises to systematically analyze, improve and deploy business procedures. A professional business case is analyzed.
Year
DOI
Venue
2015
10.1007/978-3-319-19297-0_1
ADVANCES IN ENTERPRISE ENGINEERING IX
Keywords
Field
DocType
Process mining,Enterprise operational analysis,Demo methodology,Enterprise operating system,Governance risk compliance
Systems engineering,Enterprise software,Computer science,Knowledge management,Software system,Conformance checking,Process mining,Enterprise engineering,Software engineering,Enterprise information system,Enterprise integration,Enterprise life cycle,Operating system
Conference
Volume
ISSN
Citations 
211
1865-1348
3
PageRank 
References 
Authors
0.63
16
5
Name
Order
Citations
PageRank
Emmy Dudok130.97
Sérgio Guerreiro2539.93
Eduard Babkin35714.91
Robert Pergl4195.54
Steven J. H. van Kervel5174.66