Big data as complementary audit evidence
In this paper we argue for the use of Big Data as complementary audit evidence. We evaluate the applicability of Big Data using the audit evidence criteria framework and provide cost-benefit analysis for sufficiency, reliability, and relevance considerations. Critical challenges, including integration with traditional audit evidence, information transfer issues, and information privacy protection, are discussed and possible solutions are provided.
Yoon, Kyunghee; Hoogduin, Lucas; and Zhang, Li, "Big data as complementary audit evidence" (2015). School of Management. 186.