Benford Holmes

⚙️ Analysis Settings

Audit Name

Give this analysis a descriptive name for your records

Select Column to Analyze

Select the financial data column (amounts, prices, costs)

Minimum Threshold

Filter out small transactions (taxes, fees) that don't follow natural growth

Maximum Threshold (Optional)

Exclude outlier values if needed

🔬 Range Filter (Advanced)

Exclude specific value ranges (comma-separated). Example: payments always between 100-110

⚠️ Minimum Requirements:

At least 50 records required for statistical significance
Avoid "Year", "ID", "Sequence" columns (they trigger false alerts)
Select only financial amount columns

🎯 Analysis Results

Fraud Risk Assessment 0%

Calculating...

Low Risk Medium Risk High Risk

📊 Hard Statistics

Records Analyzed

Records Filtered

Chi-Square (χ²)

p-value

Max Deviation

🚨 Anomaly Insights - Crime Scene

These digits deviate most from Benford's Law. High anomaly scores indicate potential data manipulation or systematic errors.

💡 What does this mean?
These digits show the highest deviation from expected patterns. Review transactions starting with these numbers for irregularities.

📊 First Digit Distribution

📈 Detailed Breakdown

Digit	Expected %	Actual %	Difference	Anomaly Score (χ²)	Status

🔬 Methodology

Benford's Law & Statistical Significance

Benford's Law states that in naturally occurring datasets, the first digit distribution follows a specific pattern. The digit 1 appears ~30.1% of the time, while 9 appears only ~4.6%.

Chi-Square Test (χ²)

χ² < 15.5: Compliant with Benford's Law (p > 0.05) - Normal
χ² ≥ 15.5: Statistically significant deviation (p ≤ 0.05) - Suspicious
Degrees of Freedom (df): 8 (9 digits - 1)
Critical Value (α=0.05): 15.507

Anomaly Score

Individual χ² contribution per digit. High scores (>2.0) indicate suspicious patterns requiring detailed investigation.

📁 Upload Data

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⚙️ Analysis Settings

🎯 Analysis Results

📊 Hard Statistics

🚨 Anomaly Insights - Crime Scene

📊 First Digit Distribution

📈 Detailed Breakdown

🔬 Methodology

Benford's Law & Statistical Significance

Chi-Square Test (χ²)

Anomaly Score