Big Data in Auditing for the Future of Data Driven Fraud Detection
Bambang Leo Handoko1, Archie Nathanael Mulyawan2, Jonathan Tanuwijaya3, Fransiska Tanciady4
1Bambang Leo Handoko*, Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
2Archie Nathanael Mulyawan, Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
3Jonathan Tanuwijaya, Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
4Fransiska Tanciady, Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
Manuscript received on December 12, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 2902-2907 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7568129219/2020©BEIESP | DOI: 10.35940/ijitee.B7568.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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
Keywords: Big Data, Auditing, Future, Data, Analytics, Technology
Scope of the Article: Big Data Analytics