An auditor uses audit data analytics (ADA) to identify unusual patterns in journal entries. This procedure is primarily designed to address which of the following risks?
- ARisk of management override of internal controls.
- BRisk of ineffective segregation of duties.
- CRisk of non-compliance with laws and regulations.
- DRisk of material misstatement due to errors.
Show answer & explanationAnswer & explanation
Correct answer: A. Risk of management override of internal controls.
ADA to identify unusual journal entries is a powerful tool for detecting management override of controls. Management override often involves manipulating financial statements through non-standard or unusual journal entries that bypass normal controls. While ADA can detect errors (A), its specific strength in identifying unusual patterns points more strongly to intentional override. Non-compliance (C) and ineffective segregation of duties (D) are broader risks that ADA might indirectly help with, but unusual journal entries are a direct indicator of potential management override.
Why the other options are wrong
- B. Ineffective segregation of duties is a control deficiency, while unusual journal entries are a symptom that could arise from such a deficiency, but ADA directly targets the symptoms of override.
- C. ADA might help identify some non-compliance, but unusual journal entries are not the primary indicator for this risk compared to management override.
- D. While ADA can detect errors, the focus on 'unusual patterns' in journal entries points more specifically to intentional acts rather than simple errors.
ADA for Management Override
Audit data analytics (ADA) can be used to identify unusual or suspicious journal entries, which are often indicative of management override of internal controls.
- Focuses on patterns, trends, and anomalies that deviate from expectations.
- Can analyze large volumes of data efficiently.
- Helps identify entries made outside normal business hours, by unusual users, or to unusual accounts.
Memory trick: Data Detects Deception: Uncover the hidden, not just the obvious.