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INTELLIGENT IDENTIFICATION OF MULTIDIMENSIONAL INSIGHTS FROM PROCESS DATA

机译:从过程数据中智能地识别多维洞察力

摘要

Technologies are described herein for providing intelligent identification of multidimensional insights from staged process data. In some configurations, the techniques described herein obtain process data defining a multistage process and attributes relating to individual stages of the process. Configurations analyze the process data to identify the attributes characterizing at least one conversion between individual stages. For example, attributes associated with users interacting with a retail site may be identified. The attributes can include any activity or characteristic such as a user's location, age, length of time on a site, etc. The attributes define classifications that provide insights into target areas. Techniques disclosed herein also involve the generation of output data defining the one or more attributes associated with at least one stage and/or conversion of the process. Graphical elements representing the attributes may be displayed in proximity to graphical representations of relevant stages of the process.
机译:本文描述了用于从分段过程数据中智能识别多维洞察力的技术。在一些配置中,本文描述的技术获得定义了多阶段过程的过程数据以及与该过程的各个阶段有关的属性。配置分析过程数据以识别表征各个阶段之间至少一个转换的属性。例如,可以识别与用户与零售站点交互的关联的属性。这些属性可以包括任何活动或特征,例如用户的位置,年龄,在网站上的时间长度等。这些属性定义了可以深入了解目标区域的分类。本文公开的技术还涉及生成定义与至少一个阶段相关联的一个或多个属性的输出数据和/或过程的转换。表示属性的图形元素可以在过程相关阶段的图形表示附近显示。

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