Fraud Investigation
Insurance fraud costs companies and their consumers billions of dollars each year. Preventing
such crimes is costly and time consuming. It is hard for companies to know exactly what
activities to look for because of the vast quantity of data and the inventive ways in which people
commit fraud. Hidden in the data are patterns of behavior that represent fraudulent activities
which can not easily be detected by the naked eye.
Evidence Based Research, Inc. (EBR) can help organizations detect and prevent fraud by using
advanced analysis and visualization tools to connect patterns and show links between fraudulent
companies and individuals.
EBR targets individuals and
organizations potentially committing
fraud by gathering vast amounts of
data on numerous companies and
showing their relationships. This
process helps detect complex alliances,
showing indirect relationships between
companies of interest, corporations,
organizations, people, and more. EBR
utilizes sophisticated tools that search
the open source to extract and organize
data from thousands of Web pages.
We process the language, and find
meaning in the collected data.
Working closely with clients, EBR assists in preventing fraud by categorizing the documents
collected based on general content. Rules are developed to determine how any particular activity
fits in the overall pattern of behavior. It not only includes content and context, but it has semantic
and syntactic processing capabilities. When combined with internal data, we develop models to
enable link analysis, profile development and knowledge discovery. We then build illustrative
link analysis and multidimensional visualization models to support analysis requirements. Fraud
analysts need sophisticated tools and approaches to find the fraudulent needle in the legitimate
haystack. EBR can help provide this capability using state-of-the-art tools in a cost effective
manner. This process can be helpful to companies by vastly reducing the