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Materiality Maps – Process Mining Data Visualization for Financial Audits

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Title:Materiality Maps – Process Mining Data Visualization for Financial Audits
Authors:Werner, Michael
Keywords:Big Data and Analytics: Pathways to Maturity
Decision Analytics, Mobile Services, and Service Science
Data Visiualization, Data Analytics, Financial Statement Audit, Materiality, Process Mining
Date Issued:08 Jan 2019
Abstract:Financial audits are a safeguard to prevent the distribution of false information which could detrimentally influence stakeholder decisions. The increasing integration of computer technology for the processing of business transactions create new challenges for auditors who have to deal with increasingly large and complex data. Process mining can be used as a novel Big Data analysis technique to support auditors in this context. A challenge for using this type of technique is the representation of analyzed data. Process mining algorithms usually discover large sets of mined process variants. This study introduces a new approach to visualize process mining results specifically for financial audits in an aggregate manner as materiality maps. Such maps provide an overview about the processes identified in an organization and indicate which business processes should be considered for audit purposes. They reduce an auditor’s information overload and help to improve decision making in the audit process.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/59544
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.129
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Big Data and Analytics: Pathways to Maturity


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