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The objective of this audit was to assess the effectiveness of personnel security arrangements at selected Australian Government organisations, including whether they satisfied the requirements of the PSM. To address this objective, the audit examined the extent to which the selected organisations implemented the 14 recommendations from the three previous reports.
The objective of this audit was to assess the Tax Office's implementation of the nine recommendations of Audit Report No.19 2004–05 Taxpayers' Charter, having regard to any changed circumstances affecting the implementation of the recommendations. This involved an examination of the Tax Office's:
systems and processes used to develop, maintain and update the Charter;
strategic commitment to implementing the principles of the Charter;
integration of Charter principles with its business processes;
systems for resolving disputes according to Charter principles; and
monitoring and reporting of its performance against commitments in the Charter.
The objective of the audit was to assess the completeness and reliability of the estimates reported in Tax Expenditures Statement 2006 (TES 2006). That is, the audit examined the development and publication of the detailed statement of actual tax expenditures required by Division 2 of Part 5 of the CBH Act. The development and publication of aggregated information on projected tax expenditures included in the Budget Papers pursuant to Division 1 of Part 5 of the CBH Act was not examined.
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'.
The objective of this follow-up audit is to assess the Tax Office's progress in implementing the recommendations of Audit Report No.59 2002–03, Administration of Australian Business Number Registrations, having regard to any changed circumstances, or new administrative issues, affecting the implementation of those recommendations.
This second audit report relating to SMSFs examines the effectiveness of the Tax Office's approach to managing SMSF compliance risks. Specifically the ANAO examined the processes the Tax Office uses to:
identify the risks relevant to SMSFs not complying with their obligations under the SISA, including members accessing their superannuation early;
The objective of the audit was to assess the effectiveness of the Tax Office's compliance approach for high risk income tax refunds in the individuals and micro enterprises market segments. The audit examined three key areas:
management and organisational arrangements relating to high risk income tax refund processes;
processes and procedures for identifying high risk income tax refunds, and the processes and tools used to evaluate and verify taxpayers' entitlements to income tax refunds; and
information technology systems, processes and controls supporting the processing of income tax returns and refunds.
This is a report of an audit by the ANAO of the Australian Taxation Office's Income Matching System (IMS). The IMS is a computer-based system which identifies discrepancies between information in tax returns and external data. The main income types covered are dividends, interest, wages and salaries, pensions and benefits and prescribed payments. It also generates unmatched data and cases where assessments have not yet been issued.