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
Tag: social network analysis
Another day, another scam defrauding insurers and governments. For purposes of full disclosure, the case I'm highlighting today comes from Washington's Labor and Industries (L&I), the agency where I formerly worked and headed up fraud prevention efforts, and the investigation dates back to my time there. During my time there,
Personally, I love studies. They help put things into context, and when done well, provide an independent and hopefully unbiased view of the forces that shape our lives. They are also a great way to see government funds used in strange ways. For example, the new NIOSH (National Institute for
Several weeks ago, South Carolina was the victim of what some experts believe to be the largest cyber-attack against a state tax department in history. Approximately 3.6 million personal South Carolina income tax returns were exposed, and nearly 657,000 businesses compromised, in an international hacking attack. Coincidentally, SAS and the SC
Detecting and preventing fraud isn't easy. Many tools and techniques are required, and while the digital age and advanced technologies have made fraud much easier in many ways, those same technologies have opened up new ways to combat it. One of those comes in the form of social network analysis,