The sky’s the limit for the Automated Audit Analyzer. The power of Python can be plugged into any process to employ any audit analytic automatically. The Automated Audit Analyzer employs techniques found in ADA as well as data scientist machine learning techniques found in pandas, scikit-learn, scipy and more. Based on your data, we can tell you which analytics would be most fruitful for you to employ.
The list of analytics is endless…
- Duplicate Detection of any variety
- Detection of Offsets/Reversals
- Aging Analysis
- Credit Notes/Memos analysis
- Journal Vouchers – early in the month, amounts ending in 99, rounded amounts, etc.
- Suspicious Dates
- PO, Invoice and Travel Claims Splitting
- Matching across systems (Employee/Customer/Vendor, Bank Transactions vs AR/AP/GL, etc.)
- Segregation of Duties
- Payroll Employee Oddities
- Travel Inconsistencies (Air vs. Hotel vs Food expenses)
- Expense Issues
- Testing for Fraud Scenarios
Examples
Check out some examples of our work that employ the Automated Audit Analyzer:
