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Proactively identifying complex fraud schemes is only possible when agencies use a multifaceted, anti-fraud detection approach that combines sophisticated data integration with a hybrid analytical approach. Hybrid analytics empowers law enforcement to go on the offensive with fraud operators – and do so without disrupting the efficient and timely delivery of their services. Using factual fraud stories for illustration, this paper explores how a law enforcement or government agency can use multiple analytical methods to proactively identify fraud schemes in their infancy – and spare federal taxpayers billions of dollars in benefits payouts each year.