The last Report to the Nation published by ACFE, stated that on average, fraud accounts for nearly the 5% of companies revenues. on average, fraud accounts for nearly the 5% of companies revenues [](http://ctt.ec/q3j4X) Projecting this number for the whole world GDP, it results that the “fraud-country” produces something like a GDP 3 times greater than the Canadian GDP.
2015
In the early ‘900 Frank Benford observed that ’1’ was more frequent as first digit in his own logarithms manual. More than one hundred years later, we can use this curious finding to look for fraud on populations of data. just give a try to the shiny app What ‘Benford’s Law’ stands for? Nice stuff, but what can I do with Benford’s Law? You can find fraud with it Some precautions BenfordeR: another lean shiny application performing a benford analysis plotting results detecting suspected records What’s next In the early ‘900 Frank Benford observed that ’1’ was more frequent as first digit in his own logarithms manual.
2014
The main reason why After all,I am still an Internal Auditor. Therefore I often face one of the typical internal auditors problems: understand links between people and companies, in order to discover the existence of hidden communities that could expose the company to unknown risks. the solution: linker In order to address this problem I am developing Linker, a lean shiny app that take 1 to 1 links as an input and gives as output a network map: