1. Computer-Aided Audit Tools (CAATs)
– Pros: Specialized for audit tasks, automated data analysis, and fraud detection.
– Cons: Learning curve, limited flexibility compared to general-purpose tools.
2. Spreadsheets
– Pros: Widely used, user-friendly, versatile for basic data analysis.
– Cons: Limited for large datasets, prone to errors, may lack advanced analytics features.
3. SQL (Structured Query Language)
– Pros: Efficient for database queries, great for structured data.
– Cons: Requires a solid understanding of databases, might not be suitable for complex analytics.
4. Python
– Pros: Versatile, powerful for data manipulation and analysis, extensive libraries.
– Cons: Requires programming skills, steeper learning curve for beginners.
5. Business Analytics Tools – Pros:
User-friendly, visualization capabilities, often includes advanced analytics.
– Cons: Costly, may have limitations for highly customized or specialized audit tasks.
