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11. 发明授权

US08280754B2 System and method for modeling slow changing dimension and auto management using model driven business performance management 失效
标题翻译：使用模型驱动的业务绩效管理来建模缓慢变化的维度和自动管理的系统和方法
公开(公告)号：US08280754B2
公开(公告)日：2012-10-02
申请号：US11768687
申请日：2007-06-26
申请人： Pawan Raghunath Chowdhary , Hung-Yang Chang , David W. Harrison
发明人： Pawan Raghunath Chowdhary , Hung-Yang Chang , David W. Harrison
IPC分类号： G06Q10/00
CPC分类号： G06F17/30592 , G06F17/30572 , G06Q10/063 , G06Q10/10
摘要： A system for generating a model for tracking a changing dimension feature of data in a business model includes a memory for storing the business model and a computer readable code for modeling the changes in the changing dimension feature and a processor for executing the computer readable code to perform method steps including capturing the changing dimension feature of the business model, transforming the changing dimension feature into a data warehouse model corresponding the business model, identifying changing dimensions and attributes in the changing dimension feature according to the data warehouse model, and generating a run-time deployable component for tracking the changing dimension feature based on the identified changing dimensions and attributes.
摘要翻译：用于生成用于跟踪业务模型中的数据的变化维度特征的模型的系统包括用于存储业务模型的存储器和用于对变化维特征中的变化建模的计算机可读代码以及用于执行计算机可读代码的处理器执行方法步骤，包括捕获业务模型的变化维度特征，将变化维度特征转换成对应于业务模型的数据仓库模型，根据数据仓库模型识别变化维度特征中的变化维度和属性，以及生成运行时间可部署组件，用于根据标识的变化维度和属性跟踪变化的维度特征。

12. 发明授权

US08108235B2 System and method for applying predictive metric analysis for a business monitoring subsystem 失效
标题翻译：对业务监控子系统应用预测度量分析的系统和方法
公开(公告)号：US08108235B2
公开(公告)日：2012-01-31
申请号：US12053045
申请日：2008-03-21
申请人： Pawan Raghunath Chowdhary , Shubir Kapoor
发明人： Pawan Raghunath Chowdhary , Shubir Kapoor
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06F2216/03 , G06Q10/063 , G06Q10/0637 , G06Q10/06375 , G06Q30/0201 , G06Q30/0202
摘要： Predictive metric analysis for business management is divided into build time, corresponding to the business owner view of the enterprise, and run time, corresponding to the information technology view of the enterprise. The build time consists of a predictive model and a monitoring model. These models go through transformation processes to the components of the run time. The run time components are a Metric Value Prediction Service (MVPS), which receives as input predictive model transformation and outputs predicted metric values, and a monitoring engine, which receives as input monitoring model transformation, the predicted metric values and business events from the business process. Various analytical engines can be plugged in to provide the predictive capabilities. Input is provided to a framework from various business systems which results in predicting the value of the metrics across the future time horizons.
摘要翻译：业务管理的预测度量分析分为构建时间，对应企业的企业主视图和运行时间，对应于企业的信息技术视图。构建时间由预测模型和监测模型组成。这些模型通过转换过程到运行时间的组件。运行时间组件是公制值预测服务（MVPS），其接收作为输入预测模型变换并输出预测度量值，以及监视引擎，其接收来自业务的预测度量值和业务事件作为输入监视模型转换处理。可以插入各种分析引擎以提供预测能力。输入被提供给来自各种商业系统的框架，其导致预测未来时间范围内的度量的价值。

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