Open AccessBarriers for big data integration to the financial statement audit procedures
Author(s) -
Daiva Raziūnienė,
Karolis Čirba
Publication year - 2021
Publication title -
buhalterinės apskaitos teorija ir praktika/buhalterinės apskaitos teorija ir praktika
Language(s) - English
Resource type - Journals
eISSN - 2538-8762
pISSN - 1822-8682
DOI - 10.15388/batp.2021.38
Subject(s) - big data , audit , financial statement , accounting , data science , information technology audit , audit evidence , computer science , data collection , financial audit , business , joint audit , internal audit , data mining , statistics , mathematics
An application of the most inovative technologies of the big data processing is the high challenge for financial statement auditors. The term “big data” refers to large amount of digital data that may be used to reveal issues, prospective and relations of human behaviour and actions. For instance, international and national audit companies are using big data analytics to identify risk and fraud during audits.
The purpose of the article is to identify barriers to the integration of big data into external financial audit procedures.
The object of the research is big data models and their components. Tasks formulated to achieve the goal: 1) after examining the concept of big data presented by various authors, to determine the role of big data in the audit of external financial statements; 2) to identify the factors that hinder the integration of big data into audit evidence collection procedures. Research methods used in the article include the content analysis of scientific literature.