All Posts

Analytics
Jon Lemon 0
Four-step approach to government fraud detection

Every day there are news stories of fraud perpetrated against federal government programs. Topping the list are Medicaid and Medicare schemes which costs taxpayers an estimated $100 billion a year. Fraud also is rampant in other important federal programs, including unemployment and disability benefits,  health care, food stamps, tax collection,

Programming Tips
Grace Whiteis 0
SAS arrays—be not afraid!

Arrays are a powerful SAS programming tool. They can be used to simplify coding for repetitive calculations, to transpose data and to evaluate variables in a non-sequential manner. Sometimes users are intimidated by the term array, but in SAS, an array is simply a grouping of variables that lasts for

Analytics | Fraud & Security Intelligence
John Stultz 0
Is predictive analytics misguiding your fraud detection efforts?

When it comes to fraud detection and risk mitigation, predictive modeling has earned a reputation as the “heavy hitter” in the realm of data analytics.  As our celebration of International Fraud Awareness Week continues, I would challenge our readers to ask themselves this question, “Is the reliance upon predictive analytics

Analytics
Nele Coghe 0
We will remember them

Every year, on 11 November at 11 am – the eleventh hour of the eleventh day of the eleventh month – we pause to remember those men and women who have died or suffered in all wars, conflicts and peace operations. Therefore November 11 is also known as Remembrance Day,

Data for Good | Data Visualization
Tom Morse 0
Patient-centered health care in the new health economy

Today’s healthcare system is under tremendous pressure to reduce overall costs without losing track of the patient. Legislative changes and challenging economic realities make it increasingly difficult to deliver both improved outcomes and cost savings for the most complex patients. The Physicians Pharmacy Alliance (PPA) recognizes the changing healthcare landscape

1 563 564 565 566 567 747