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Toward a Goal-Oriented, Business Intelligence Decision-Making Framework

机译:建立面向目标的商业智能决策框架

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Decision making is a crucial yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches, often because of lack of data, unknown relationships between data and goals, conflicting goals, and poorly understood risks. This paper presents a goal-oriented, iterative conceptual framework for decision making that allows enterprises to begin development of their decision model with limited data, discover required data to build their model, capture stakeholders goals, and model risks and their impact. Such models enable the aggregation of Key Performance Indicators and their integration to goal models that display good cognitive fit. Managers can monitor the impact of decisions on organization goals and improve decision models. The approach is illustrated through a retail business real-life example.
机译:决策是企业管理中至关重要但具有挑战性的任务。在许多组织中,决策通常仍然基于经验和直觉,而不是基于事实和严格的方法进行,这通常是由于缺乏数据,数据与目标之间的关系不明,目标相互冲突以及对风险的了解不足。本文提出了一个面向目标的迭代决策概念框架,该框架使企业可以使用有限的数据开始开发决策模型,发现建立模型所需的数据,捕获利益相关者的目标,并对风险及其影响进行建模。这样的模型可以汇总关键绩效指标并将其集成到显示出良好认知适应性的目标模型中。管理人员可以监视决策对组织目标的影响并改善决策模型。通过零售业务的实际示例说明了该方法。

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