Human analysts are good at insights and intuition, where as technology is good at computation at scale with speed. Combining these two, we turn massive volume of data into actionable insights to detect and stop advanced fraud scenarios in real-time and even before it happens. Traditional technologies, while suitable for detecting certain types of fraud, are not designed to detect collaborated fraud, such as fraud rings. Our system provides a unique ability to uncover a variety of important fraud patterns, either in groups or on an individual basis. Through looking into deliberately hidden connections between entities, we can uncover patterns otherwise difficult to detect using traditional approaches.
People influence each other. If friends or family do something, your chances of doing it go up-- this kind of influence can not only be predicted, but also measured. Our system is able to spot who the social influencers are, capture the value of their social influence, and identify the areas of their influence. Companies then have three ways to take advantage of such social influencers: through acquiring more customers like them; through leveraging the influencers with targeted products/promotions and see what causes more spending among their friends; and understanding who to focus the retention efforts on and how.
Elastic scalability with scale-out architecture and graphical design
Milliseconds level traversals, million records/second read and write throughput
User friendly decision dashboard for data exploration and analysis