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Big Data And Analytics In The Modern Audit Engagement: Research Needs, Deniz Appelbaum, Alexander Kogan, Miklos A. Vasarhelyi
Big Data And Analytics In The Modern Audit Engagement: Research Needs, Deniz Appelbaum, Alexander Kogan, Miklos A. Vasarhelyi
Department of Accounting and Finance Faculty Scholarship and Creative Works
Modern audit engagements often involve examination of clients that are using Big Data and analytics to remain competitive and relevant in today’s business environment. Client systems now are integrated with the cloud, the Internet of Things, and external data sources such as social media. Furthermore, many engagement clients are now integrating this Big Data with new and complex business analytical approaches to generate intelligence for decision making. This scenario provides almost limitless opportunities and the urgency for the external auditor to utilize advanced analytics. This paper first positions the need for the external audit profession to move toward Big Data …
Using Drones In Internal And External Audits: An Exploratory Framework, Deniz Appelbaum, Robert A. Nehmer
Using Drones In Internal And External Audits: An Exploratory Framework, Deniz Appelbaum, Robert A. Nehmer
Department of Accounting and Finance Faculty Scholarship and Creative Works
Recently the FAA relaxed restrictions on the use of drones or Unmanned Aircraft Systems (UASs) for commercial purposes. Markets for commercial drone use are in the technology trigger phase of the Gartner Group’s Hyper Cycle, with developments occurring rapidly in real estate, agriculture (farming), the film industry, insurance, and other areas. Examination and inspection applications of drones have been proposed in heavy industry and cell tower inspection. Previous research suggests an incremental structure for implementing technological innovations such as continuous auditing (CA). In this paper these proposals are expanded to include the additional requirements to add drone technologies. This structure …
Securing Big Data Provenance For Auditors The Big Data Provenance Black Box As Reliable Evidence, Deniz Appelbaum
Securing Big Data Provenance For Auditors The Big Data Provenance Black Box As Reliable Evidence, Deniz Appelbaum
Department of Accounting and Finance Faculty Scholarship and Creative Works
The purpose of this article is to highlight a main issue regarding reliable audit evidence derived from Big Data—that of secure data provenance. Traditionally, audit evidence external to the client has been regarded as superior to other forms of evidence. However, regarding external “messy” Big Data sources that may be material to aspects of the audit, these sources may lack provenance and verifiability. That is, the origins of the data may be unclear and its log files incomplete. According to the standards, such evidence should be considered as less reliable for audit evidence. External auditors, as outsiders of the client, …