This report outlines the ANAO’s assessment of the internal controls of major agencies, including governance arrangements, information systems and control procedures. The findings summarised in this report are the results of the interim phase of the financial statement audits of 23 major General Government Sector agencies that represent some 95 per cent of total General Government Sector revenues and expenses.

The objective of the audit was to evaluate the policies and practices of selected organisations to determine whether they had established sound arrangements for, and maintained effective control over, the administration of security incidents and investigations.

The objective of the audit was to assess the effectiveness of the Department of Broadband, Communications and the Digital Economy’s administration of the Household Assistance Scheme.

The objectives of the audit were to: assess the extent to which the Government's sale objectives were achieved; assess the effectiveness of the management of the public share offer; and identify principles of sound administrative practice to facilitate improved administrative arrangements for future Commonwealth public share offers.

An Audit Committee Chairs Forum was held on Wednesday, 14 June 2019 from 10am until 12:30pm. The venue was the Galambany Centre, Department of Finance, One Canberra Avenue, Forrest ACT. The agenda, slides and communique from the forum are available on this events page.

The Performance Audit Services Group (PASG) volume of the ANAO Audit Manual applies to the performance audit activity performed by PASG in collaboration with the Systems Assurance and Data Analytics (SADA) group. Relevant policies and guidance from the PASG volume are also applied to assurance reviews performed by PASG. Policies and guidance in the PASG volume address the planning, execution and reporting stages of the performance audit process.

Grant Hehir, Auditor-General for Australia, attended the 18th Meeting of INTOSAI Working Group on Environmental Auditing in Bundung Indonesia in July 2018, and presented a keynote address titled Sharing experience on auditing urban environmental management. The accompanying paper to the speech is available here.

The audit examined ATSIS' implementation of recommendations from Audit Report No.39, 1998-1999 National Aboriginal Health Strategy - Delivery of Housing and Infrastructure to Aboriginal and Torres Strait Islander Communities (the previous audit). In addition to assessing ATSIS' progress in implementing the recommendations of the previous audit, this follow-up audit examined ATSIS' performance reporting of the NAHS program, and concluded that the current level of aggregation of performance reporting makes it difficult to identify the particular contribution that the NAHS Program makes in improving services to Indigenous communities.

The audit objective was to assess the effectiveness of the Department of Health and Ageing and the Australian National Preventive Health Agency in fulfilling the Commonwealth’s role in implementing the Council of Australian Government’s National Partnership Agreement on Preventive Health, to achieve the Agreement’s objectives, outcomes and outputs, including supporting all Australians to reduce their risk of chronic disease.

The objective of the audit was to evaluate the Tax Office's corporate management of data matching, including analytics.

The ANAO examined the Tax Office's strategic goals and governance arrangements for data matching and analytics, its compliance with privacy requirements and whether the Tax Office is achieving intended results, which include revenue collection, optimised compliance and provision of improved services to taxpayers.

Tax Office executives have been increasingly drawing on the interrelationships and conceptual commonalities of Tax Office data matching and analytics activity. Accordingly, the audit included these relationships and conceptual commonalities within the scope of the audit. The audit was guided, therefore, by a broader definition of ‘data matching': meaning ‘finding relationships and patterns in large volumes of data'. This includes the more traditional idea of data matching as ‘bringing together data from different sources and comparing it'.