| Title |
Financial anomalies detection method example / |
| Authors |
Veitaitė, Ilona ; Lopata, Audrius |
| Full Text |
|
| Is Part of |
CEUR workshop proceedings: IVUS 2024: Information society and university studies 2024: proceedings of the 29th international conference on information society and university studies (IVUS 2023) Kaunas, Lithuania, May 17, 2024 / edited by: I. Veitaitė, A. Lopata, T. Krilavičius, M. Woźniak.. Aachen : CEUR-WS. 2024, vol. 3885, p. 175-184.. ISSN 1613-0073 |
| Keywords [eng] |
process mining ; data dimensions ; finance analytics ; financial anomalies |
| Abstract [eng] |
The aim of this paper is to provide continuous results on research in financial data analysis. Financial processes involve complex procedures concerning the recording and analysis of financial data. Many companies encounter difficulties when handling large amounts of financial data for assessing the current state of the company, planning future strategies, and other purposes. This paper proceeds with the analysis and usage of financial data space dimensions using General Ledger information from specific companies in the Netherlands, also introduces a method for identifying financial anomalies. |
| Published |
Aachen : CEUR-WS |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
