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Analytics | Fraud & Security Intelligence
Ricky D. Sluder, CFE 0
Data Mining: A Medicaid Fraud Control Unit's best weapon in the fight against health care fraud

On a cold and wet December morning in 2008, at approximately 1:30 AM, I pulled into the parking lot of an abandoned supermarket in Arlington, TX.  With sleet pelleting my windshield, I saw three additional sets of headlights enter into the parking lot from different directions.  All three cars converged

Andrew Pease 0
The audacity of big analytics

Big data is already dead!!! Long live big analytics! In good writing, apparently, someone needs to die in the first line and big data is a sensational, front-page victim. Some trends indicate that the “big data hype” has already peaked. Regardless of whether this is true and a post-hype hangover

Advanced Analytics | Analytics
Mike Gilliland 0
Gaming the forecast

Business forecasting is a highly politicized process, subject to the biases and personal agendas of all forecasting process participants. This is why many -- perhaps most -- human adjustments to the forecast fail to make it better. And this is why relative metrics, such as FVA, are so helpful in

Andreas Gödde 0
Konrad Adenauer gegen Big Data?

Laut aktuellem Gartner Hype Cycle ist der Hype um Big Data verglüht und die Phase der Ernüchterung ist eingetreten. Da höre ich schon viele in den Unternehmen sagen: "Hab ich ja gleich gesagt", "Das war total überbewertet", "Wir haben bei uns im Unternehmen keine Big Data", "Wir dürfen aufgrund des Datenschutzes

Analytics | Fraud & Security Intelligence
Greg Henderson 0
It’s beginning to look a lot like International Fraud Awareness Week

For most people, this time of year means celebrating cherished, personal traditions… helping those less fortunate…flocking to stores in droves…the company holiday party… For the SAS Security Intelligence team, it means identity theft…benefits fraud…unemployment insurance fraud...insider threats. Why? Because next week is International Fraud Awareness Week! And we’re celebrating by

Stuart Rose 0
Many Faces of Insurance Fraud

What do the following have in common? A homeowner inflates the value of his home entertainment equipment stolen during a robbery. A parent states they are the primary driver for their child’s car. A doctor charges for a non-existent procedure. A construction company underreports payroll or misclassifies an employee’s duties.

Rick Wicklin 0
The distribution of Pythagorean triples

When I studied high school geometry, I noticed that many homework problems involved right triangles whose side lengths were integers. The canonical example is the 3-4-5 right triangle, which has legs of length 3 and 4 and a hypotenuse of length 5. The triple (3, 4, 5) is called a

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