Fraud analytics for financial services

Besides the need for speed, financial services businesses, such as credit card providers, are grappling with the scale of their data. These data stores of data are constantly growing every day—for instance, authorization data, changing customer demographics, recent billing histories, etc. The complex and iterative queries that fraud detection specialists rely on need access to trillions of small pieces of information, in order to detect patterns of fraudulent activity, which can be buried deep within these data volumes.