| Abstract [eng] |
The benefits of big data analytics are already being used in many areas, while audit procedures are practically unchanged about 50-60 years [7]. Opinion that big data analytics is not as widespread in audit field as in other areas predominates in most of the sources exploring this topic [1, 6, 8, 9, 10]. Although data analytics are believed to improve audit effectiveness, understanding of using data analytics in audit engagements is still limited. Audit field representatives also faces many unanswered questions about the potential consequences of using big data analytics [10]. The purpose of the work is to theoretically justify what kind of big data analytics methods applied in financial statement audit stages and empirically apply the chosen methods to the case of Lithuanian closed joint-stock companies in order to improve the efficiency and quality of audit procedures. Years 2012-2017 investigation period was chosen for the study. Empirical research is based on two manufacturing companies. |
