The document discusses Benford's Law, which predicts the distribution of leading digits in data sets that come from natural distributions. It explains how Benford's Law can be used to detect anomalies and potential fraud in data by comparing the actual leading digit distribution to what is predicted. It then analyzes some real data sets from a bank and finds they closely match Benford's Law, suggesting no anomalies. The document concludes Benford's Law is a useful additional tool for data quality assessment.

1. Benford’s Law Data Quality Analysis applications Alan F Doyle, Data Management Specialist Group Data Management 4 March 2009

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