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Systems and methods for hierarchical dual-dynamic exception management

机译:用于分层双动态异常管理的系统和方法

摘要

Systems and methods for hierarchical dual-dynamic exception management are disclosed. In one embodiment, the system and method may provide: (1) hierarchical exception modelling, metric algorithms and aggregation; (2) node level exception metric algorithm and high-level status algorithm calculation; (3) node level investigation via “explain” of exception factors (e.g., focusing an analyst on a particular issue); (4) node level tracking workflow management through ability to add commentary, multiple-person signoff, and high-level status calculation overrides; (5) visibility, auditable compliance reporting; (6) dashboard for internal operational analysts/managers with full investigation view; (7) dashboard for external clients with sub views; (8) generic data interface to existing workflow management system; and (9) machine learning component such that the exception metric can be intelligently re-adjusted (for example, if there are too many false positives then make the thresholds more forgiving). Other features and/or advantages may be provided as is necessary and/or desired.
机译:公开了用于分层双重动态例外管理的系统和方法。在一个实施例中,该系统和方法可以提供:(1)分层异常建模,度量算法和聚合; (2)节点级异常度量算法和高级状态算法的计算; (3)通过“解释”异常因素来进行节点级调查(例如,使分析人员专注于特定问题); (4)通过添加注释,多人签核和高级状态计算覆盖的功能来跟踪节点级别的工作流管理; (5)可见性,可审核的合规报告; (6)为内部运营分析师/经理提供全面调查视图的仪表板; (7)具有子视图的外部客户的仪表板; (8)与现有工作流程管理系统的通用数据接口; (9)机器学习组件,以便可以智能地重新调整异常度量(例如,如果误报过多,则使阈值更宽容)。可以根据需要和/或期望提供其他特征和/或优点。

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