About this paper
As fraud analytics applications grow increasingly sophisticated, the biggest challenges lie in gathering and preparing the data for analysis. When data challenges are met, the enterprise unlocks multiple streams of value – not only in fraud detection, but also in adjacent applications for predicting fraud, prioritizing investigations and even developing a more complete view of the customer. This research report from the International Institute for Analytics featuring SAS reveals details about successful data preparation and integration, finding the riches in unstructured text and getting creative with companion applications.
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