Tackling Complexity: Process Reconstruction and Graph Transformation for Financial Audits

Michael  Werner; Martin Schultz; Niels Müller-Wickop; Nick Gehrke; Markus Nüttgens

Tackling Complexity: Process Reconstruction and Graph Transformation for Financial Audits

Michael Werner, Martin Schultz, Niels Müller-Wickop, Nick Gehrke, Markus Nüttgens

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

A key objective of implementing business intelligence tools and methods is to analyze voluminous data and to derive information that would otherwise not be available. Although the overall significance of business intelligence has increased with the general growth of processed and available data it is almost absent in the auditing industry. Public accountants face the challenge to provide an opinion on financial statements that are based on the data produced by the automated processing of countless business transactions in ERP systems. Methods for mining and reconstructing financially relevant process instances can be used as a data analysis tool in the specific context of auditing. In this article we introduce and evaluate an algorithm that effectively reduces the complexity of mined process instances. The presented methods provide a part of the foundation for implementing automated analysis and audit procedures that can assist auditors to perform more efficient and effective audits.

Original language	English
Title of host publication	Proceedings of the 33rd International Conference on Information Systems
Editors	F. George Joey
Number of pages	12
Place of Publication	Atlanta, GA
Publisher	Association for Information Systems. AIS Electronic Library (AISeL)
Publication date	2012
ISBN (Print)	9780615718439
Publication status	Published - 2012
Externally published	Yes
Event	The 33rd International Conference on Information Systems. ICIS 2012 : Digital Innovation in the Service Economy - Orlando, Florida, United States Duration: 16 Dec 2012 → 19 Dec 2012 http://icis2012.aisnet.org/

Conference

Conference	The 33rd International Conference on Information Systems. ICIS 2012
Country/Territory	United States
City	Orlando, Florida
Period	16/12/2012 → 19/12/2012
Other	ICIS is the major annual meeting of the Association for Information Systems (AIS).
Internet address	http://icis2012.aisnet.org/

Series	Proceedings of the International Conference on Information Systems
ISSN	0000-0033

Keywords

Business process modeling
Data mining
Process mining
Business intelligence
Data analysis
Enterprise resource planning systems
Financial audits

Access to Document

https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1230&context=icis2012 Licence: Unspecified
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Werner, M., Schultz, M., Müller-Wickop, N., Gehrke, N., & Nüttgens, M. (2012). Tackling Complexity: Process Reconstruction and Graph Transformation for Financial Audits. In F. G. Joey (Ed.), Proceedings of the 33rd International Conference on Information Systems Association for Information Systems. AIS Electronic Library (AISeL). https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1230&context=icis2012

Werner, Michael ; Schultz, Martin ; Müller-Wickop, Niels et al. / Tackling Complexity : Process Reconstruction and Graph Transformation for Financial Audits. Proceedings of the 33rd International Conference on Information Systems. editor / F. George Joey. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2012. (Proceedings of the International Conference on Information Systems).

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title = "Tackling Complexity: Process Reconstruction and Graph Transformation for Financial Audits",

abstract = "A key objective of implementing business intelligence tools and methods is to analyze voluminous data and to derive information that would otherwise not be available. Although the overall significance of business intelligence has increased with the general growth of processed and available data it is almost absent in the auditing industry. Public accountants face the challenge to provide an opinion on financial statements that are based on the data produced by the automated processing of countless business transactions in ERP systems. Methods for mining and reconstructing financially relevant process instances can be used as a data analysis tool in the specific context of auditing. In this article we introduce and evaluate an algorithm that effectively reduces the complexity of mined process instances. The presented methods provide a part of the foundation for implementing automated analysis and audit procedures that can assist auditors to perform more efficient and effective audits. ",

keywords = "Business process modeling, Data mining, Process mining, Business intelligence, Data analysis, Enterprise resource planning systems, Financial audits, Business process modeling, Data mining, Process mining, Business intelligence, Data analysis, Enterprise resource planning systems, Financial audits",

author = "Michael Werner and Martin Schultz and Niels M{\"u}ller-Wickop and Nick Gehrke and Markus N{\"u}ttgens",

year = "2012",

language = "English",

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series = "Proceedings of the International Conference on Information Systems",

editor = "Joey, {F. George}",

booktitle = "Proceedings of the 33rd International Conference on Information Systems",

publisher = "Association for Information Systems. AIS Electronic Library (AISeL)",

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Werner, M, Schultz, M, Müller-Wickop, N, Gehrke, N & Nüttgens, M 2012, Tackling Complexity: Process Reconstruction and Graph Transformation for Financial Audits. in FG Joey (ed.), Proceedings of the 33rd International Conference on Information Systems. Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the International Conference on Information Systems, The 33rd International Conference on Information Systems. ICIS 2012 , Orlando, Florida, United States, 16/12/2012. <https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1230&context=icis2012 >

Tackling Complexity: Process Reconstruction and Graph Transformation for Financial Audits. / Werner, Michael ; Schultz, Martin; Müller-Wickop, Niels et al.
Proceedings of the 33rd International Conference on Information Systems. ed. / F. George Joey. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL), 2012. (Proceedings of the International Conference on Information Systems).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - A key objective of implementing business intelligence tools and methods is to analyze voluminous data and to derive information that would otherwise not be available. Although the overall significance of business intelligence has increased with the general growth of processed and available data it is almost absent in the auditing industry. Public accountants face the challenge to provide an opinion on financial statements that are based on the data produced by the automated processing of countless business transactions in ERP systems. Methods for mining and reconstructing financially relevant process instances can be used as a data analysis tool in the specific context of auditing. In this article we introduce and evaluate an algorithm that effectively reduces the complexity of mined process instances. The presented methods provide a part of the foundation for implementing automated analysis and audit procedures that can assist auditors to perform more efficient and effective audits.

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KW - Process mining

KW - Business intelligence

KW - Data analysis

KW - Enterprise resource planning systems

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Werner M, Schultz M, Müller-Wickop N, Gehrke N, Nüttgens M. Tackling Complexity: Process Reconstruction and Graph Transformation for Financial Audits. In Joey FG, editor, Proceedings of the 33rd International Conference on Information Systems. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2012. (Proceedings of the International Conference on Information Systems).