Fraud & Security Intelligence

Find out how analytics can protect against fraud and cybercrime

Analytics | Fraud & Security Intelligence
Ricky D. Sluder, CFE 0
Why Excel isn’t the solution for health care fraud, waste and abuse investigations

To prepare for the data challenges of 2015 and beyond, health care fraud, waste and abuse investigative units (government funded and commercial insurance plans, alike) need a data management infrastructure that provides access to data across programs, products and channels. This goes well beyond sorting and filtering small sets of

Fraud & Security Intelligence
Henrik Becker 0
Wie erkennt man Kreditbetrug?

Es war eines dieser Fußballspiele, das man am liebsten vergisst. Zwei Mannschaften spielen Rasenschach ohne erkennbaren Drang zum Tor und ohne erkennbares Konzept. Hätte man den Gegner vorher doch mal studiert, wüsste man, wie man den Abwehrriegel knackt, wie man gnadenloses Pressing betreibt und traumhaft herausgespielte Tore den Zuschauern als

Analytics | Fraud & Security Intelligence | Internet of Things
Suzanne Clayton 0
It’s the Internet of connected life at Mobile World Congress

The Internet of Things is coming fast and furious. We clearly know what these “things” are, and were able to see prototypes at last week’s Mobile World Congress (MWC) which hosted some 93,000 attendees. Things = connected life = cars, homes (thermostats, washer and dryers, vacuum cleaners, security systems, refrigerators, etc.),

Analytics | Fraud & Security Intelligence
Paula Henderson 0
Analytics making a difference in tax fraud: Kentucky protects taxpayer money, uncovers fraud schemes

According to a 2012 report, it was estimated that over the next five years the US Internal Revenue Service (IRS) will issue more than $20 billion in potentially fraudulent tax refunds. Figures like this do little to boost taxpayers’ confidence in our nation’s tax system. And tax fraud is not

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 | 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

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