What is Audit Data Analytics (ADA)?
The use of digital analysis techniques to identify patterns, anomalies, and relationships in data to obtain audit evidence.
ADA is essential for modern auditing practices.
What are the three stages of the ETL process?
- Extract – pull full datasets from systems
- Transform – clean and standardise data
- Load – import into analytics software
ETL is crucial for preparing data for analysis in ADA.
Why is ETL important?
It ensures data used in ADA is complete, accurate, and reliable before analysis.
Quality data is fundamental for effective audit outcomes.
What ISA standards govern ADA?
- ISA (NZ) 500 (audit evidence)
- ISA (NZ) 520 (analytical procedures)
These standards provide a framework for the application of ADA in audits.
What are three benefits of ADA?
- Full-population testing
- Early fraud detection
- Improved audit efficiency
These benefits enhance the effectiveness of the audit process.
What are three limitations of ADA?
- Data quality issues
- Need for technical skills
- Risk of false positives
Understanding these limitations is crucial for auditors using ADA.
Give four ADA tests used for fraud detection.
- Duplicate payment search
- Benford’s Law analysis
- Outlier analysis
- Date/time pattern testing
These tests help auditors identify potential fraudulent activities.
How does ADA support fraud detection?
By identifying unusual transactions or relationships inconsistent with expectations under ISA (NZ) 240.
This capability is vital for maintaining the integrity of financial reporting.
How do auditors validate data reliability?
- Reconcile totals – Compare extracted data totals to system control totals.
- Check completeness – Verify that all relevant records and fields were extracted.
- Confirm accuracy – Review data transformation logs to ensure no corruption occurred during ETL.
These steps ensure the integrity of the data used in audits.
Difference between Computer Auditing and ADA?
Computer Auditing tests the system; ADA analyses the data produced by that system.
This distinction highlights the different focuses of each approach.
