Business analytics derive their value through the ability to extract specific and changing data from a wide variety of heterogeneous sources for smarter decision-making.
业务分析的价值在于从各种异类数据源中提取具体的不断变化的数据,从而确保做出更加明智的决策。
Several models have been proposed to explain the neural basis of assigning relative value to multiple rewards at different points in time (also known as "intertemporal decision making") in humans.
研究人员制作了几个模型,用来解释为什么人们会将相对价值分配人生中的几个时间节点上去(也称“跨时段决策制定”),最后他们得出结论,人的这一行为是以神经元为基础的。
They offer great value for improving decision making, improving informal processes, and locating expertise and content.
在改善决策、改进非正式流程和定位专门技术和内容方面,它们可以提供巨大的价值。
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