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Power of Six Sigma in Detecting Fraud in Accounting Data !!!!

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Hi All ,

I m going to share the use of six sigma beyond process improvement ,that is detecting fraud in accounting data.

This tool predicts the frequency of numbers (digits), and hence an anomaly, in naturally-occurring data sets. When used properly, it allows the fact-finder to identify suspect values in a given data set. For example, it is particularly suitable for identifying vendors that submit fraudulent invoices.Using this Rule nonconforming invoice amounts are flagged as systemic errors that corrupt the data set. These fraudulent invoices reveal themselves because the amount (dollar value) does not correspond to a predicable ,This distribution when compared to the other invoice amounts in the sample.

It appears that a simple but powerful mathematical phenomena exists that quickly predicts the distribution of numbers for "pointing suspicion at frauds, embezzlers, tax-evaders, sloppy accountants, and even computer bugs."

Certain nonrandomly behaved numbers in non-normally distributed data sets (i.e., those that are highly skewed, not uniform in distribution, and not bell-shaped) followed the algorithm defined by:

Models the data set against the probability distribution of each digit as itm appears in any number. This is a predictive tool called digital frequency analysis

Please read it and let me know if that sounds fruitfull will upload a minitab macro for first digit frequency



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