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DESIGNING APPLICATION TO SUPPORT PROCESS AUDIT USING PROCESS MINING
Process audit is a mechanism that is frequently used by organizations to ensure the quality of their implemented processes. In auditing, auditors often conduct testing based on sample data taken randomly. The auditors can use computerized data sources, such as event logs which are automatically reco...
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Published in: | Journal of Theoretical and Applied Information Technology 2015-10, Vol.80 (3), p.473-473 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Process audit is a mechanism that is frequently used by organizations to ensure the quality of their implemented processes. In auditing, auditors often conduct testing based on sample data taken randomly. The auditors can use computerized data sources, such as event logs which are automatically recorded in the information system. Event logs illustrates how business processes run in real process in the organization. This paper suggests the use of process mining in auditing business processes based on data from event logs stored in information systems. We propose the complete guide to use process mining in business process audit, from planning to the evaluation. We also design an application which implements process mining to support business process audit. This is expected to improve the quality of audit recommendations, because they are based on the overall data in the event logs. |
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ISSN: | 1817-3195 |