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    • 1. 发明授权
    • Asynchronous rollup numbers forecasting methods and systems
    • 异步汇总数字预测方法和系统
    • US09009709B2
    • 2015-04-14
    • US13049596
    • 2011-03-16
    • Martin LongChien-Lang Chou
    • Martin LongChien-Lang Chou
    • G06F9/46G06F9/54G06F17/30
    • G06F9/546G06F17/30289G06F17/30407
    • Improved methods and systems are provided for asynchronously updating forecast rollup numbers. The asynchronousity is achieved by decoupling the source data change from further manipulations of the source data, for example in calculating and updating forecast rollup numbers by user role hierarchy, layer by layer. An event message queue implementation can be used for asynchronous processing. The process works by dequeuing a batch of event messages and then deduping and sorting them before applying forecast logic. Forecast numbers are updated based on target data and then rolled up the user role levels by aggregating forecast numbers for all subordinate forecast data entries.
    • 提供了改进的方法和系统来异步更新预测汇总数。 通过将源数据变化与源数据的进一步操纵相关联来实现异步,例如,按用户角色层次结构逐层计算和更新预测汇总数。 事件消息队列实现可以用于异步处理。 该过程通过出现一批事件消息,然后在应用预测逻辑之前重新排序和排序它们。 预测数据将根据目标数据进行更新,然后通过汇总所有下属预测数据条目的预测数来累加用户角色级别。
    • 2. 发明申请
    • FORECASTING SYSTEMS AND METHODS
    • 预测系统和方法
    • US20110231848A1
    • 2011-09-22
    • US13049596
    • 2011-03-16
    • Martin LongChien-Lang Chou
    • Martin LongChien-Lang Chou
    • G06F9/46
    • G06F9/546G06F17/30289G06F17/30407
    • Improved methods and systems are provided for asynchronously updating forecast rollup numbers. The asynchronousity is achieved by decoupling the source data change from further manipulations of the source data, for example in calculating and updating forecast rollup numbers by user role hierarchy, layer by layer. An event message queue implementation can be used for asynchronous processing. The process works by dequeuing a batch of event messages and then deduping and sorting them before applying forecast logic. Forecast numbers are updated based on target data and then rolled up the user role levels by aggregating forecast numbers for all subordinate forecast data entries.
    • 提供了改进的方法和系统来异步更新预测汇总数。 通过将源数据变化与源数据的进一步操纵相关联来实现异步,例如,按用户角色层次结构逐层计算和更新预测汇总数。 事件消息队列实现可以用于异步处理。 该过程通过出现一批事件消息,然后在应用预测逻辑之前重新排序和排序它们。 预测数据将根据目标数据进行更新,然后通过汇总所有下属预测数据条目的预测数来累加用户角色级别。