Big data in audit
Big data describes data sets whose size, variety or rate of generation make traditional processing methods difficult. Auditors may use suitable tools to identify patterns, exceptions or risks, but must consider access, completeness, reliability, relevance and the interpretation of outputs.
Worked example
An auditor analyses a large population of sales transactions for unusual manual adjustments, then investigates selected exceptions.
Common mistake
A large data set or automated pattern alone is not reliable audit evidence without considering data quality and the audit objective.
Where it appears in your exams
| Qualification | Exam | Relationship | Period |
|---|---|---|---|
| ACCA | AAA (INT) | Supporting | September 2026–June 2027 |