Occupational Fraud Data Analytics

The use of data analytics to help detect occupational fraud is proven to help reduce risk. At 65th North Group, LLC our experts use data analytics to analyze your financial reports, journal entries, line items, expenses, revenues, and vendor information to uncover possible fraudulent activity. 

Data analysis methods include:

  • Ratio analysis (horizontal and vertical)
  • Trend analysis
  • Benford's analysis
  • Gap testing
  • Sounds-like analysis
  • Duplicate testing

Data stratification allows for the detection of questionable transactions that might not otherwise be apparent.

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