transaction profiling. transaction profiling is a patent--protected technique used to extract meaningful information and reduce the complexity of transaction data used in modeling. many of our products operate using transactional data, such as credit card purchase transactions, or other types of data that change over time. in its raw form, this data is very difficult to use in predictive models for several reasons. first, an isolated transaction contains very little information about the behavior of the individual who generated the transaction. in addition, transaction patterns change rapidly over time. finally, this type of data can often be highly complex. to overcome these issues, we have developed a set of techniques that transform raw transactional data into a mathematical representation that reveals latent information, and which make the data more usable by predictive models. this profiling technology accumulates data across multiple transactions of many types to create and update profiles of transaction patterns. these profiles enable our neural network models to efficiently and effectively make accurate assessments of, for example, fraud risk and credit risk within real--time transaction streams.