Big Data Analysis and Its Contribution to Remote Audit

  • Stefani Lily Indarto
  • Stephana Dyah Ayu R
  • YB. Dwi Setianto


The COVID-19 pandemic has brought about a change in the audit process. Remote audit process is the best alternative that can be applied. Strategies to anticipate pandemic conditions with all their limitations must be carried out starting from the audit assignment process which usually includes planning, checking documents, field work, interviews, testing, and completing audits, especially to verify critical business functions. On the other hand, Big Data is needed not only to help understand the information contained in the data but also to help identify the data that is most important for current and future business decisions. This makes it easier for people to get the data and information they want. Entities must react quickly to increased capacity of information reporting systems and data analysis. This makes it easier for people to get the data and information they want. The Covid-19 pandemic for Public Accounting Firms in Central Java has also led to changes in giving initial consideration to the risks of material misstatement identified in management's assertions in the financial statements. For this reason, the auditors of the Public Accounting Firm in Central Java need to make changes by carrying out alternative audit procedures to obtain sufficient and adequate audit evidence during the pandemic. Auditors are required to be able to respond to disturbances caused by the Covid-19 pandemic and provide correct information on financial reports. The auditor must be able to modify the audit procedures performed, collect audit evidence and assess the risk of material misstatement, perhaps even provide alternatives to perform audit procedures in accordance with current conditions.


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How to Cite
INDARTO, Stefani Lily; AYU R, Stephana Dyah; SETIANTO, YB. Dwi. Big Data Analysis and Its Contribution to Remote Audit. International Journal of Advanced Research in Technology and Innovation, [S.l.], v. 3, n. 4, p. 19-27, dec. 2021. ISSN 2682-8324. Available at: <>. Date accessed: 27 may 2022.