Abstract: A system and method for rapid development and deployment of reusable analytic code for use in computerized data modeling and analysis is provided. The system includes a centralized, continually updated environment to capture pre-processing steps used in analyzing big data, such that the complex transformations and calculations become continually fresh and accessible to those investigating business opportunities. The system incorporates deep domain expertise as well as ongoing expertise in data science, big data architecture, and data management processes. In particular, the system allows for rapid development and deployment of analytic code that can easily be re-used in various data analytics applications, and on multiple computer systems.

Abstract: A system for automatically recommending treatments for delinquent accounts in collections is provided. The system includes one or more sub-models for analyzing and scoring delinquent accounts and comparing them to historical accounts to identify similar historical accounts. The system can select and recommend one or more treatments for the delinquent account based on treatments for the historical accounts that may have previously provided a favorable outcome for a similar account. The system may test the efficacy of new treatments and incorporate the results into the memory, thereby learning and adapting to new treatments and account behavior.

Abstract: A system and method for detecting billing errors using predictive models is provided. The system includes a computer system and a billing error detection engine capable of detecting billing errors using predictive modeling techniques. The system receives and pre-processes billing information. The system then applies one or more predictive models to the information to identify billing errors. The results could be optionally sent to, and reviewed by, third party auditors, whereby their feedback could be incorporated into the results. A final report is generated by the system which indicates billing errors that require correction, thereby allowing an entity to correct such errors and prevent revenue leakage.

Abstract: A system and method for rapid development and deployment of reusable analytic code for use in computerized data modeling and analysis is provided. The system includes a centralized, continually updated environment to capture pre-processing steps used in analyzing big data, such that the complex transformations and calculations become continually fresh and accessible to those investigating business opportunities. The system incorporates deep domain expertise as well as ongoing expertise in data science, big data architecture, and data management processes. In particular, the system allows for rapid development and deployment of analytic code that can easily be re-used in various data analytics applications, and on multiple computer systems.

Abstract: Provided is a system for detecting a merchant point of compromise. More specifically, provided is a system for detecting a merchant point of compromise comprising a computer system in electronic communication with a transaction processing network containing transaction information, the computer system comprising a point-of-compromise detector, said point-of-compromise detector performing the steps of electronically receiving from the transaction processing network the transaction information; generating at least one of an undirected network or a directed network based on the transaction information; extracting features from the at least one of the undirected network or the directed network; and identifying one or more point-of-compromise merchants based on the extracted features.