Combining real-time process execution with specialist analytics, this solution generates its own rules from past data to flag issues for investigation.
In times of economic slowdown, fraudulent activity rises. Where once organistions budgeted for revenue loss due to bogus insurance claims or identity theft, margins are now being eroded by illegal activity.
Analytics is not the complete answer, catching fraud before it happens and responding to trends in activity is a better way of protecting the revenue base.
AWD employs the use of sophisticated automatic rule building analytics to spot irregularities as part of customer aquisition and claims processes. Not only does this spot potential fraudulant activity with an optimum low false posive rate, but also identifies collusion risk across a wide spectrum of captured data.
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AWD helps insurance and pension companies to manage processes, people and systems to improve operational efficiency, lower operating costs and increase customer satisfaction.
AWD helps its banking clients with multiple lines of business become more efficient and standardise service delivery, particularly across multiple offices and distribution channels.
AWD supports a third of the unit trust, PEP and ISA marketplace in the UK, and over 100 million mutual fund accounts in the US.
AWD supports 40 percent of the unit trust, PEP and ISA marketplace in the UK, and over 100 million mutual fund accounts in the US.
AWD supports a third of the unit trust, PEP and ISA marketplace in the UK, and over 100 million mutual fund accounts in the US.
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