How to Improve Performance in Public Sector Auditing Through the Power of Big Data and Data Analytics – The Case of The Republic Of North Macedonia

Abstract

Purpose: The accelerated process of digitalization is a challenge, and at the same time an opportunity to apply modern and practical solutions in audit engagements. The purpose of this paper is to elaborate the application of big data and data analytics as one of the most advanced disruptive technologies in public sector auditing. Methodology: Qualitative and quantitative research was made on big data and data analytics as technologies that can modernize public sector auditing in Republic of North Macedonia. A survey method was used to identify the perception and attitude of the public sector auditors who are part of the State Audit Office and the internal auditors in public sector departments. The processing of the collected data was done through several statistical methods and tests, using SPSS software. Findings: In general, our research shows the positive attitude and perception of public sector auditors in the Macedonian practice for modernization and automation through the application of advanced data analytics tools in current and future audit engagements. Originality/Value: To the best of our knowledge, this paper is the only one that explores the potential of big data and data analytics technologies in Macedonian practice and presents early results that provide a good basis for further in-depth research.