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Detecting Lottery Fraud Requires Special Expertise and Technology

With each new revelation of lottery fraud, the urgency of preventing further occurrences intensifies. It’s now a top line issue for lottery commissions because it threatens to significantly decrease revenue. The danger is that the number of consumers feeling at risk about being paid on a winning ticket could reach a tipping point. An affected lottery could see a substantial decrease in revenue almost overnight, and it’s difficult to predict when that tipping point will be reached.

Detecting and preventing lottery fraud requires a specialized combination of experience and technology. In particular, when lottery fraud is committed by retailers, the people defrauding the system are aware of just how the system works, so the solution has to be able to outsmart people who know all the tricks.

The same can be said for Organized Retail Crime fraud.  These types of crimes cost the retail industry over $40 billion a year. In helping retail customers attack these problems, our identity resolution software churns through enterprise identity data (e.g., employees, merchandise returns, customers, shoplifters, bad check data) to resolve identities and detect hidden relationships.

As with retail, the data to detect lottery fraud is readily available, but solving the crime requires knowledge about handling multiple, disparate data sources and how to find hidden connections using identity resolution. In fact, the parameters of lottery fraud are strikingly similar to retail fraud. Someone who understands how the system works fraudulently fences merchandise (or a winning lottery ticket).  Retailers can check potential fraudsters against a list of employees and known shoplifters, while government-run lotteries can check winners against lists of lottery retailers and – for example - delinquent taxpayers.

Forward-thinking lotteries are quickly moving to exploit solutions based on identity resolution to solve the problem. The risk of declining revenues is just too high to do nothing.

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