Root-cause analysis of process-data quality problems
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86644449. Available under License Creative Commons Attribution Non-commercial 4.0. |
Description
Process mining provides analytical tools and methods which can distil insights about process behaviour from big process-related data. Yet challenges relating to the impact of poor quality data on event logs, the input to process mining analyses, remain. Despite researchers raising concerns about event log data quality, event log preparation is, in practice, generally handled mechanistically, focusing on fixing symptoms rather than on uncovering the root causes of event log data quality issues. To address this, we introduce the Odigos (Greek for “guide”) framework. Based on semiotics and Peircean abductive reasoning, the Odigos framework facilitates an informed way of dealing with data quality issues in event logs. Odigos supports both prognostic (foreshadowing potential quality issues) and diagnostic (identifying root causes of discovered quality issues) approaches. We examine in depth how the framework supports a detailed root-cause analysis of a well-known collection of event log imperfection patterns.
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ID Code: | 211255 | ||||||
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Item Type: | Contribution to Journal (Journal Article) | ||||||
Refereed: | Yes | ||||||
ORCID iD: |
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Measurements or Duration: | 25 pages | ||||||
Keywords: | process mining, Organisational context, Semiotics, Data quality, Root-cause analysis | ||||||
DOI: | 10.1080/2573234X.2021.1947751 | ||||||
ISSN: | 2573-2358 | ||||||
Pure ID: | 86644449 | ||||||
Divisions: | Current > Research Centres > Centre for Behavioural Economics, Society & Technology Current > QUT Faculties and Divisions > Faculty of Business & Law Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Information Systems |
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Copyright Owner: | © 2021 Operational Research Society | ||||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||
Deposited On: | 22 Jun 2021 23:21 | ||||||
Last Modified: | 03 Aug 2024 02:27 |
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