Forensic analytics using cluster analysis: Detecting anomalies in data
Cluster analysis is a data analytics technique that can help forensic accountants effectively detect anomalies in complex financial datasets. This article provides a description of clustering analysis, discusses how it can be implemented to detect anomalies in data, and illustrates its use through a...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/soa_research/1896 https://ink.library.smu.edu.sg/context/soa_research/article/2923/viewcontent/Forensic_Analytics_using_Clustering.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | Cluster analysis is a data analytics technique that can help forensic accountants effectively detect anomalies in complex financial datasets. This article provides a description of clustering analysis, discusses how it can be implemented to detect anomalies in data, and illustrates its use through a worked example using the Tableau software. |
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