Abstract: A user authorizes cross-platform interlinking or user data. The cross-platforms are mined for user-authorized data. The data is processed into graph data and metrics data. The graph data is presented as an interactive graph interface to a user that responds to user selections/directions to provide user-defined views and levels of detail.

Abstract: A user authorizes cross-platform interlinking or user data. The cross-platforms are mined for user-authorized data. The data is processed into graph data and metrics data. The graph data is presented as an interactive graph interface to a user that responds to user selections/directions to provide user-defined views and levels of detail.

Abstract: Embodiments of a Global Risk Administration (GRA) method and system include a GRA tool that assists an institution with various decision making processes by enabling the institution to customize the GRA tool to generate decisions based on information input by the institution or a customer of the institution. In an embodiment, the institution is a financial institution (FI), and customizing the GRA tool involves an FI user assigning attribution rules using, wherein attribution rules comprise characteristics of applicants for financial accounts. The user further creates one or more decision classes using the UI, wherein one or more attribution rules place an applicant in a decision class; and the user creates business rules, wherein a business rule determines a manner in which the GRA module interprets data from the third party data sources.

Abstract: Embodiments of a Global Risk Administration (GRA) method and system include a GRA tool that assists an institution with various decision making processes by enabling the institution to customize the GRA tool to generate decisions based on information input by the institution or a customer of the institution. The GRA tool further accesses third party data sources for the purpose of verifying information and gathering additional information to be used in generating decisions. The data sources are selectable by the institution as an aspect of the customization in an embodiment. In an embodiment, the institution is a financial institution (FI), and customizing the GRA tool involves an FI user assigning attribution rules using, wherein attribution rules comprise characteristics of applicants for financial accounts.

Abstract: Embodiments include a system, or platform, and method allowing financial institutions (FIs) to have access to an account opening platform that is capable of completing every aspect of the account opening approval process for the FI, and that is also capable of interfacing with their respective core systems (regardless of type or protocol) for receiving account opening requests from customers. Account opening requests may encounter permanent or temporary errors. When temporary errors are encountered, the account opening request is placed in a queue and automatically retried until the error is resolved. The account opening platform performs real-time integration with a variety of core systems such that approved new accounts are immediately “boarded” to the FI's core. In an embodiment, the platform is a plug-and-play” architecture such that adding the ability to communicate with new or different cores requires minimal effort.

Abstract: Embodiments as described herein include methods and a system for multi-channel and cross-channel account opening. An applicant may start an account opening process in one channel and move to one or more other channels without any application data being lost. A financial management system (FMS) provides a single account opening platform for multiple financial institutions (FIs) such that an application to open an account is handled by the FMS platform using shared resources among channels, and applying rules specified by each FI.