Data that fit into a defined schema, such as relational data.
Published in Chapter:
The Transformation of Auditing From Traditional to Continuous Auditing in the Era of Big Data
Adem Çabuk (Uludağ University, Turkey) and Alp Aytaç (Uludağ University, Turkey)
Copyright: © 2019
|Pages: 16
DOI: 10.4018/978-1-5225-7356-2.ch007
Abstract
Massive usage of internet and digital devices make it easier accessing the desired information. In the past, auditing was a periodic, reactive approach, but this must change. Today, volume, velocity, variety, veracity, and value of the information, which are the main criteria of big data, are crucial. Decision makers demand timely, true, and reliable information. This need has affected every sector including auditing. For this reason, the continuous auditing system comes to debate in the big data era. The main aim of this chapter is to shed light on how traditional auditing transformed into the continuous auditing and where big data stands in this transformation. It is concluded that even though many obstacles arise, continuous auditing systems and harvesting big data benefits are crucial to gain a competitive advantage. Also, using big data analytics and continuous auditing system together, management and shareholders gain detailed information about the company's present situation and future direction.