DocumentCode
3298324
Title
Business Process Mining and Reconstruction for Financial Audits
Author
Werner, Michael ; Gehrke, Nick ; Nüttgens, Markus
Author_Institution
Nordakad., Univ. of Appl. Sci., Germany
fYear
2012
fDate
4-7 Jan. 2012
Firstpage
5350
Lastpage
5359
Abstract
In modern companies business processes and information systems are highly integrated and transactions are executed system based and automated. The data generated in the course of processing transactions commonly provides the basis for internal and external financial reporting. The financial statements are subject to audits due to regulatory requirements. Contemporary audit approaches take into account internal control frameworks over relevant business processes and underlying information systems, but they lack adequate audit procedures needed to handle voluminous data flows when business processes are highly integrated and automated. We face a discrepancy between an integrated and automated transaction processing on the one side and manual audit procedures on the other. Financial audits would be more effective and efficient if an audit approach with system based and automated procedures would be applied. This article describes how business process mining and reconstruction of mined processes can be used to overcome this discrepancy.
Keywords
auditing; business data processing; data mining; financial management; information systems; transaction processing; automated transaction processing; business process mining; business process reconstruction; financial audits; financial reporting; information systems; manual audit procedures; Companies; Data mining; Information systems; Manuals; Process control; Standards; application control; automated analysis; automated audit; automated processing; financial audit; internal control; process flow; process mining; process reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science (HICSS), 2012 45th Hawaii International Conference on
Conference_Location
Maui, HI
ISSN
1530-1605
Print_ISBN
978-1-4577-1925-7
Electronic_ISBN
1530-1605
Type
conf
DOI
10.1109/HICSS.2012.141
Filename
6149542
Link To Document