Event Knowledge Graphs for Auditing: A Case Study

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

doi:10.1007/978-3-031-56107-8_7

Event Knowledge Graphs for Auditing: A Case Study

Eva L. Klijn
, Dennis Preuss
, Lulzim Imeri
, Florin Baumann
, Felix Mannhardt
, Dirk Fahland (Corresponding author)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

205 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Process Mining Workshops
Subtitle of host publication	ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers
Editors	Johannes De Smedt, Pnina Soffer
Place of Publication	Cham
Publisher	Springer
Pages	84-97
Number of pages	14
ISBN (Electronic)	978-3-031-56107-8
ISBN (Print)	978-3-031-56106-1
DOIs	https://doi.org/10.1007/978-3-031-56107-8_7
Publication status	Published - 13 Apr 2024
Event	International workshops which were held in conjunction with 5th International Conference on Process Mining, ICPM 2023 - Rome, Italy Duration: 23 Oct 2023 → 27 Oct 2023

Publication series

Name	Lecture Notes in Business Information Processing (LNBIP)
Volume	503
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	International workshops which were held in conjunction with 5th International Conference on Process Mining, ICPM 2023
Country/Territory	Italy
City	Rome
Period	23/10/23 → 27/10/23

Keywords

financial auditing
knowledge graph
multiple objects
querying

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10.1007/978-3-031-56107-8_7

pdfFinal published version, 1.98 MBLicence: TAVERNE

Cite this

Klijn, E. L., Preuss, D., Imeri, L., Baumann, F., Mannhardt, F., & Fahland, D. (2024). Event Knowledge Graphs for Auditing: A Case Study. In J. De Smedt, & P. Soffer (Eds.), Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers (pp. 84-97). (Lecture Notes in Business Information Processing (LNBIP); Vol. 503). Springer. https://doi.org/10.1007/978-3-031-56107-8_7

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abstract = "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.",

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Klijn, EL, Preuss, D, Imeri, L, Baumann, F, Mannhardt, F & Fahland, D 2024, Event Knowledge Graphs for Auditing: A Case Study. in J De Smedt & P Soffer (eds), Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. Lecture Notes in Business Information Processing (LNBIP), vol. 503, Springer, Cham, pp. 84-97, International workshops which were held in conjunction with 5th International Conference on Process Mining, ICPM 2023, Rome, Italy, 23/10/23. https://doi.org/10.1007/978-3-031-56107-8_7

Event Knowledge Graphs for Auditing: A Case Study. / Klijn, Eva L.; Preuss, Dennis; Imeri, Lulzim et al.
Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. ed. / Johannes De Smedt; Pnina Soffer. Cham: Springer, 2024. p. 84-97 (Lecture Notes in Business Information Processing (LNBIP); Vol. 503).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Preuss, Dennis

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AU - Mannhardt, Felix

AU - Fahland, Dirk

PY - 2024/4/13

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N2 - 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.

AB - 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.

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ER -

Klijn EL, Preuss D, Imeri L, Baumann F, Mannhardt F, Fahland D. Event Knowledge Graphs for Auditing: A Case Study. In De Smedt J, Soffer P, editors, Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. Cham: Springer. 2024. p. 84-97. (Lecture Notes in Business Information Processing (LNBIP)). doi: 10.1007/978-3-031-56107-8_7

Event Knowledge Graphs for Auditing: A Case Study

Abstract

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Conference

Keywords

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