The advancement of information technology in today's technologically driven era has had a significant impact on the way corporate organisations are conducting their business, especially in a developed country such as Australia. Consequently, it is now almost impossible to conduct effective and efficient audits without the use of technology‐based tools in control environments that are dominated by big data and increasing volumes of electronic audit evidence. Generalised Audit Software (GAS) is one of the most frequently used technology‐based tools available for the internal audit function for tests of controls purposes. The objective of this article is to explore the maturity of the use of GAS by internal audit functions in Australia. The literature review reveals that the use of GAS by internal audit functions globally is still at a relatively low level of maturity, despite the increased adoption of information technology and the generation of big data within organisations. Similarly, the empirical results also confirm the low level of maturity in the use of GAS by internal audit functions in Australia. Only 17.4% of the respondents displayed a high level of maturity with regard to the use of GAS.

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This article explores the use by internal audit functions of audit sampling techniques in order to test the effectiveness of controls in the banking sector. The article focuses specifically on the use of statistical and/or non-statistical sampling techniques by internal auditors. The focus of the research for this article was internal audit functions in the banking sector of South Africa. The results discussed in the article indicate that audit sampling is still used frequently as an audit evidence-gathering technique. Non-statistical sampling techniques are used more frequently than statistical sampling techniques for the evaluation of the sample. In addition, both techniques are regarded as important for the determination of the sample size and the selection of the sample items.

This article explores the purpose for which GAS, as a data analytics tool, is utilised by internal audit functions in Australia. A quantitative research method was applied, and the data was analysed using descriptive statistics. The total number of online questionnaires returned was 50 (i.e., a response rate of 15.53%) from the total research population of 322 chief audit executives of internal audit functions of organisations that are registered members with the IIA-Australia. The purpose of descriptive statistics is to describe what the data looks like and to compare variables numerically; therefore, no inferences or extrapolation of the data results were made. The results of the study can be used as a benchmark that may enable CAEs to identify whether they are staying abreast of current best practice in the area of technology-based tools and techniques for tests of controls.

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