hey guise, just got here.
How many gay nazi jew shills would I have to filter to get to the comfy center of the QR pop tonite?
> the past 5 years
aj has been a shill lots longer than that
he was instrumental in making 9/11 truth look like idiots
i wonder if they tested for that.
seems like it would be hard to get something from Subway with out human DNA
what with all the seat, spit, snote , etc falling off the workers. I think Subway customers just take that for granted
bidan farts on brits
kamal cringes on france
are these acts staged?
will it be on white clouds wearing ancient cloth robes and will he have a brown beard?
nibiru?
>He is from them.
he
so it has a benis?
if you actually put some thought into the things others have put into your head they will easily collapse.
if its made of light, why?
will we have rods & cones in our dead bodies to decode the light, or will it be in another wave length that our dead bodies will some how interpret messages from?
so not light, you need a new story
but what about all the ballots he found?
If anons can draw
anons can be independent
make money doing something you love and making others happy while doing it
they will say
Take My Money, PLEASE!
not any more
>State Auditor Shad White
this kid is cleaning up MS
When I took office, I promised to do everything in my power to protect your tax dollars from fraudsters.
Sometimes that means using whistleblower tips and traditional investigations. Sometimes it means using newer, more modern methods of detecting fraud. Advanced data analytics is one of the new methods we’ve used to fulfill that mission. I want to take some time to explain data analytics.
Data analytics describes the “science of analyzing patterns, identifying anomalies, and extracting other useful information in data,” according to the American Institute of Certified Public Accountants.
In other words, these techniques allow auditors to more efficiently and effectively examine data and help to uncover more advanced fraud schemes than before.
For example, think of the traditional auditor, trying to find fraud in a pile of thousands of transactions. The auditor might take a sample of those transactions and look at them closely for signs of theft. If the auditor doesn’t pick the right transaction to test, though, the fraud could still be hidden. It’s like trying to find a needle in a haystack, and you only have time to closely inspect a handful of hay.
Data analytics, however, can allow the auditor to put all the transactions into a database, and an algorithm—software—tells the auditor which transactions look the most suspicious. Now the auditor has a computer program to show which sprigs of hay are most likely to be needles. Data analytics can also do work humans are unable to do, like a Benford analysis. Benford analyses look
at big datasets to see if the numbers in the transactions look like they’ve been made up by a human mind rather than being truly random. This complex analysis would be impossible without powerful data analytics able to inspect millions of invoices.
Over the last year, data analytics have aided our office in uncovering misspending in two major ways. First, it’s enabled us to look at millions of independent financial transactions instead of relying on small samples. This has resulted in us detecting larger and more technical fraud schemes than ever before. It was data analytics that empowered my office to partner with the Attorney General’s office and look at the Medicaid program’s pharmacy benefits over the last year. By using a data analytics firm’s patented algorithms and running millions of pharmacy transactions against the requirements of Medicaid’s
pharmacy benefit contract, we discovered millions in overcharges. This resulted in a $55.5 million settlement for Mississippi. Without data analytics, this recovery would have been impossible.
http://www.desototimes.com/opinion/how-data-analytics-are-helping-protect-your-money/article_217100b8-3be5-11ec-bc03-23ef394366d3.html