Open AccessBig Data in Auditing for the Future of Data Driven Fraud Detection
Author(s) -
Bambang Leo Handoko,
Archie Nathanael Mulyawan,
Jonathan Tanuwijaya,
Fransiska Tanciady
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7568.019320
Subject(s) - audit , big data , business , accounting , data collection , external auditor , internal audit , information technology audit , disadvantage , audit plan , analytics , joint audit , data science , computer science , data mining , sociology , social science , artificial intelligence
Industry revolution 4.0 makes people face change, the auditor profession is no exception. Auditors no longer conduct audits using the manual method but use computerized systems such as big data analytics. Our research aims to find out how auditors must change, when facing new technology approach audit. Very complicated and various data kinds that was too large to be audited manually. The research method in this research is descriptive qualitative, the method of data collection uses interviews with informants. The informant is the auditor partner of the public accounting firm. Big data has advantage and disadvantage to audit and fraud detection profession. The results of this study state that audit firm must be aware of the obstacles that come from internal and external for the implementation of big data analytics audit. Obstacles will hinder the adoption of technology for the auditor, while the auditor must change rapidly following the demands of technological development