In 2014, the federal government lost more than $125 billion to fraud, waste and abuse. And that’s just what we know about. While that number may sound incredible, those on the front lines of the government fraud fight know that it's all too real. The US government needs to change
Currently, most fraud detection solutions for financial crime and tax fraud are focused on risk assessing entities. That is to say, they evaluate the risk of each individual or businesses separately. While this helps prioritize risk-based investigations by alerting investigators to the likelihood of fraud, it does not necessarily maximize deterrence.
The Data For Good initiative is all about using data and analytics to improve the lives of citizens around the world – however most people wouldn’t immediately think about tax collection as a humanitarian effort. But that’s exactly how Courtney Kay-Decker, Executive Director of the Iowa Department of Revenue sees
Insurers are embracing digital to meet the demands of modern consumers. And, of course, there are obvious benefits to them from less costly, more streamlined interactions with their customers. The trouble is that digitisation comes with a major health warning: Unless insurers put suitable measures in place, they're at risk
Financial institutions evaluating fraud management solutions face a crowded vendor landscape. Dozens of vendors claim to offer various pieces of the puzzle. With so many choices available, how will you sort through the marketing rhetoric to find the best fit for your organization? You could assemble a team of analysts
Across the globe, governments are losing billions in revenues to organised VAT fraud. The most recent VAT Gap study published by the European Commission estimates that EU countries lost an estimated €168 billion in VAT revenues in 2013. That's equivalent to 15.2% of the total expected VAT revenue from the
Lately there seems to be a surge in the term machine learning. Much like big data a few years ago, machine learning is the new buzzword -- and the two terms actually go hand in hand. With increasing volumes of data now stored in distributed environments such as Hadoop, it's
Similar to claims fraud, money laundering is seen as a victimless crime, and often glamorized in movies and books. Think “The Wolf of Wall Street” and “Scarface”. But money laundering is a SERIOUS problem. According to a 2013 report, the United Nations Office on Drugs and Crime estimates that $1.6
“Garbage in, garbage out” is more than a catchphrase – it’s the unfortunate reality in many analytics initiatives. For most analytical applications, the biggest problem lies not in the predictive modeling, but in gathering and preparing data for analysis. When the analytics seems to be underperforming, the problem almost invariably
In my previous post, I talked to John Cassara, a former U.S. Intelligence Officer and Treasury Special Agent, about growing concerns over trade-based money laundering. I followed up with him about the growing threat of mobile payments and how mobile phones can potentially be used to launder illicit funds globally. Here are the
