Event Knowledge Graphs for Auditing: A Case Study.

Eva L. Klijn, Dennis Preuss, Lulzim Imeri, Florin Baumann, Felix Mannhardt, Dirk Fahland

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Due to its potential benefits, process mining has become more and more embedded in financial auditing as an analysis technique to support the auditor in their assessment of internal controls executed in financially relevant processes. However, standard process mining solutions for audit are developed under the pretense of a single case notion. As a result, an auditor is presented with models and data visualizations of the process that do not accurately reflect the underlying relationship between accounting and other relevant objects in the process, posing challenges for the auditor in obtaining a precise understanding of the process and related controls. In this case study together with EY, we aim to understand requirements for improving the application of process mining in audit. After first inventorizing the current limitations, we explore on a real-life audit use case provided by EY the benefits of graph-based event data representation using an event knowledge graph, especially considering accounting related objects and events. Discussing these results with auditing experts at EY revealed insights and requirements for a process mining analysis in the context of auditing not documented in the literature before.
Originele taal-2Engels
TitelProcess Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers
RedacteurenJohannes De Smedt, Pnina Soffer
Pagina's84-97
Aantal pagina's14
DOI's
StatusGepubliceerd - 2024

Publicatie series

NaamLecture Notes in Business Information Processing
Volume503 LNBIP
ISSN van geprinte versie1865-1348
ISSN van elektronische versie1865-1356

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