Module: | Specialized Audits, Tech & ESG Disclosures
Q86: Consider the following statements regarding the integration of Audit Data Analytics (ADA) with traditional Audit Sampling under SA 530:
1. The ICAI explicitly stated that the use of Audit Data Analytics (ADA) entirely replaces and invalidates the traditional statistical sampling frameworks outlined in SA 530.
2. ADA allows auditors to analyze 100 percent of a population (such as millions of sales invoices) to identify outliers and anomalies, rather than relying on a randomly selected subset.
3. Even when utilizing ADA to scan an entire data population, the auditor must still apply professional judgment and skepticism to investigate the specific anomalies flagged by the algorithm.
Which of the above statements is/are incorrect?
2. ADA allows auditors to analyze 100 percent of a population (such as millions of sales invoices) to identify outliers and anomalies, rather than relying on a randomly selected subset.
3. Even when utilizing ADA to scan an entire data population, the auditor must still apply professional judgment and skepticism to investigate the specific anomalies flagged by the algorithm.
Which of the above statements is/are incorrect?
✅ Correct Answer: A
🎯 Quick Answer:
A. Only 1 is incorrect.Structural Breakdown: Statement 1 is incorrect; the ICAI has clarified that ADA complements, but does NOT invalidate or entirely replace SA 530.
There are still many qualitative audit areas (like reading physical board minutes or inspecting factory machinery) where statistical or judgmental sampling remains legally necessary.
Statement 2 is correct; the superpower of ADA is its ability to ingest and verify 100% of digital transactions in seconds.
Statement 3 is correct; an algorithm can flag a duplicate invoice, but a human auditor must investigate why it happened (system error vs fraud). Historical/Related Context: As massive tech companies processes millions of micro-transactions daily, traditional audit sampling became mathematically useless.
ADA was introduced to match the scale of modern digital commerce.
Causal Reasoning: While ADA tests the entire digital population perfectly, it cannot observe physical reality.
An AI can verify that 10,000 invoices match 10,000 shipping receipts digitally, but an auditor must still sample a physical warehouse to ensure the inventory actually exists, hence SA 530 survives.