ACCA AAA INT Syllabus G. Current Issues - Current Developments In Auditing Standards - Part 1 - Notes 1 / 4
Guidance On Smaller Audits
The lAASB generally considers all audits the same - but there are special considerations for smaller
entities
The lSAs must be followed, even in the audit of SMEs.
However, the work needed to comply with ISAs will be less - it just needs professional judgement to decide which procedures are needed
Eg. Obtaining an understanding of a smaller entity will be much easier
Individual clarity ISAs include guidance on specific points relating to small entity audits. It doesn't reduce the responsibility of the auditor to apply and comply with the requirements of the lSAs.
Big Data
Big data is basically the huge amounts of info now available to businesses
Data analytics tries to identity patterns. trends or correlations. Making sense of it.
3 Vs of big data: there are larger Volumes, faster Velocity, more Variety.
Big Data and Audit
Recent advances in lT make it increasingly possible for auditors to examine a 100% of the transactions - and to represent trends graphically.
This may bring about a long-term revolution in audit approach
So not only sampling would not be necessary but neither would internal control testing
The auditor would still have to understand the system producing the data. The auditor would also need to understand and test how data got into the system in the first place
Eg. Cash received data would still need testing against the actual cash receipts.
So, data analytics will lead to a reconsideration of how controls at least are tested
They would also lead to better audits by helping auditors:
Analysis revenue trends into product or region
Match sales orders to cash
Match purchase/sales orders. goods received/despatched documentation and invoices
Test user codes for segregation of duties
IAASB ‘Request for lnput’: Exploring the Growing Use of Technology In the Audit, with a Focus on Data Analytics
The use of DA should help the auditor to obtain an understanding of the entity and its environment, thus improving, professional skepticism
Limitations of DA
Auditors must understand the data - and its relevance to the audit.
Even testing 100% of a population still ONLY gives reasonable assurance, as professional judgement is always needed.
Accounting estimates require professional judgement. DA can be a useful aid here only
Auditors and stakeholders should not become overconfident in technology.
Current lSAs don't encourage DA, because it never really existed when they were created
Challenges to the increased use of DA
Data Acquisition - Acquiring and storing large amounts of data and be technically difficult
Conceptual challenges -How to use data in different ways than now
Legal and regulatory challenges - eg data security.
Resource availability - eg. highly-skilled data scientists
Regulators problems - lack of experience so hard to inspect audits
Re-training / re-skilling auditors — Significant time and investment
IESBA ED Proposed changes to the Code Addressing the long Association of Personnel with an Audit client
The ED proposed the following changes:
Engagement Partner Rotation (Pubic Interest Entity) - an increase from 2 to 5 years
EQCR of a listed entity: an increase from 2 to 5 years (3 years for a public interest entity other than listed entity)
Agreement of those charged with governance over the application of certain exceptions to the rotation requirements
Where jurisdictions have different but robust regulatory safeguards... An alternative approach to the cooling-off requirements for PIE audits
IESBA ED Improving the Structure of the Code of Ethics for Professional Accountants—Phase 1 and Phase 2
The IESBA is proposing a new structure for the Code of Ethics.
Key features of phase 1 included:
Requirements clearly distinguished from application material
Increased clarity of responsibility for compliance
A reorganisation of the content
A new Guide to the Code
Phase 2 moved on to consider the following issues:
. Accountants response to non-compliance with laws and regulations (NOCLAR):
. Long association of firm personnel with an audit or assurance client; and
. Ethical issues that professional accountants in business (PAIBs) often face.