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 proceedingArticle in proceedingsResearchpeer-review


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 languageEnglish
Title of host publicationProceedings of the 33rd International Conference on Information Systems
EditorsF. George Joey
Number of pages12
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2012
ISBN (Print)9780615718439
Publication statusPublished - 2012
Externally publishedYes
EventThe 33rd International Conference on Information Systems. ICIS 2012 : Digital Innovation in the Service Economy - Orlando, Florida, United States
Duration: 16 Dec 201219 Dec 2012


ConferenceThe 33rd International Conference on Information Systems. ICIS 2012
CountryUnited States
CityOrlando, Florida
OtherICIS is the major annual meeting of the Association for Information Systems (AIS).
Internet address
SeriesProceedings of the International Conference on Information Systems


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

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