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Analytics | Data Management
Suzanne Clayton 0
Be proactive. Be a trailblazer with data.

For many industries, big data analytics have opened numerous doors for more employees to be groundbreaking and to challenge the corporate status quo. Prior to big data technologies, risk taking behaviors were primarily reserved for provocative souls who stretched organizational boundaries to disrupt industries, such as airline revenue management. There were winners and losers

Klaus Fabits 0
Big Data? Ich kann es schon nicht mehr hören!

 „Wieder ein Berater, wieder ein Systemintegrator, wieder ein Outsourcer und wieder ein Software- oder Hardware-Hersteller, der mir erzählt, dass Big Data der Trend der Zukunft ist. Jeder erzählt mir, wie wichtig „Big Data“ für mein Unternehmen sind. Und wenn ich hier nicht zustimme, bin ich gleich ein Innovationsverweigerer. Die Nachfrage

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,

Rick Wicklin 0
Resampling and permutation tests in SAS

My colleagues at the SAS & R blog recently posted an example of how to program a permutation test in SAS and R. Their SAS implementation used Base SAS and was "relatively cumbersome" (their words) when compared with the R code. In today's post I implement the permutation test in

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

Rick Wicklin 0
What is the coefficient of variation?

I sometimes wonder whether some functions and options in SAS software ever get used. Last week I was reviewing new features that were added to SAS/IML 13.1. One of the new functions is the CV function, which computes the sample coefficient of variation for data. Maybe it is just me,

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

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