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  • Data synthesis in fraud detection and prevention for telecommunications service providers
    Growing transaction numbers and advances in technology are increasing the potential for fraud attacks on the telecommunications industry. While many telecom service providers (TSPs) continue to use reactionary methods for detecting fraud, forward-looking industry players can reap the benefits of a data synthesis approach. Find out more about how this approach can strengthen fraud reduction and prevention efforts and potentially predict areas of vulnerability in this article.
  • Enterprise Fraud and Misuse Management: The analytical evolution of prevention
    From credit card companies to insurance providers to federal healthcare agencies, nearly any organization that makes large disbursements knows the frustration of the “pay and chase” cycle. Thanks to a new breed of analytical software and platforms that use a Big Data approach, organizations are now better poised to spot and stop fraud before the money leaves the organization.
  • Tipping the triangle
    By applying analytics to financial data within a proactive framework, fraud can be prevented, detected and mitigated to better manage financial risk.
  • Analytics Trends 2014 (And why some may not materialize)
    In 2014, eight business analytics trends will rule the day-or will they? Explore this interactive infographic to learn more.
  • Our take: Banking fraud
    What if you could head off fraud before it even happens? Enterprise fraud management (EFM) solutions apply advanced analytics that enable organizations to detect suspicious transactions in real time – or even prevent them from happening. Watch this installment of the Our Take video series, where we discuss how advanced analytics are helping to transform the way banks and other organizations manage risks related to fraud, waste and abuse.
  • An empirical analysis of the training and feature set size in text categorization for eDiscovery
    In this paper, we examine the factors impacting the training set in a predictive coding model. Find out how we determined that when it comes to the size of training sets, one size does not necessarily fit all.
  • Using analytics in banks
    The article discusses how contemporary data analytics can help banks enhance their continuous monitoring to help detect potential wrongdoing more quickly and efficiently, providing greater ability to take remedial action before whistleblowers and regulators spring into action. The article sets out four recommended actions.
  • Shrinking retail shrink: Using analytics to help detect fraud and grow margins
    Global inventory shrinkage increased 6.6 percent for the year ended June 2011 to more than U.S. $119 billion, representing 1.45 percent of global retail sales at retail sales value, according to the Centre for Retail Research’s report, The Global Retail Theft Barometer 2011. This article describes how retailers can use new technologies such as data analytics to help them detect more fraud and improve margins in an increasingly challenging economic environment.
  • Dynamic Review: Document review in new perspective
    Our discovery methodology deploys advanced analytics, including predictive coding, to enhance document review management and reduce costs. You can make more intelligent decisions without necessarily leaving your existing platform or purchasing technology.
  • Technology assisted review: Leveraging advancements to improve efficiencies
    Watch this episode of Deloitte Insights to learn more about the importance of technology assisted reviews.
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