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Smarter Insights With Fraud Analytics
Using advanced analytics to combat fraud, corruption, waste, and abuse
The Digital Age has transformed every aspect of business, including how fraud is perpetrated and discovered. Fraudulent activities cost organizations millions of dollars in time and money, while placing proprietary corporate and customer information at risk. Specific data that may indicate illegal, abusive, or corrupt activity is often difficult to detect, increasing the need for advanced analytics techniques to uncover complex, sophisticated schemes and prevent their recurrence. The ability to explore and graphically represent big data (and little data) can bring clarity to pressing corporate concerns, helping to protect vital resources and reputations.
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Fraud Insights
Analytics innovations in enterprise fraud management (EFM) In this digital age of increasing complexity, conventional fraud and compliance management practices may no longer keep businesses safe. The sophisticated analytic techniques of enterprise fraud management (EFM) helps organizations mine larger volumes of data to proactively monitor the business and the brand. |
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Fighting fraud with analytics: The future of investigations How can organizations better identify and investigate fraud? |
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Nudging New Mexico: Kindling compliance among unemployment claimants Deterring small-scale fraud often requires more resources than the effort is worth. But by applying concepts from behavioral economics, administrators can induce more honest behavior. |
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Shutting down fraud, waste, and abuse Fraud, waste, and abuse in government spending drain billions of taxpayer dollars. Now, new tools and techniques such as predictive analytics, behavioral economics, and collective intelligence offer agencies innovative ways to address the problem. |
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Explore our insights on fraud Nudging New Mexico: Kindling compliance among unemployment claimants Shutting down fraud, waste, and abuse: Moving from rhetoric to real solutions in government benefit programs |
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Analytics Answers—Fraud While fraud can appear as a "faint signal" buried in an organization’s data, its impact can run deep and cross the entire organization. In the past, companies often chased down fraud after the fact in an attempt to mitigate damage, but today, with the help of data, it’s possible to detect and head off fraud before its full potential impact is achieved. Deloitte’s Analytics Answers are fraud-focused solutions that can help identify patterns and anomalous behaviors hidden deep in large data sets, in near-real time. Find out more about our individual fraud-focused analytics solutions here. |
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