数据驱动的人物角色的未来:在线分析数字和人类属性的结合

Joni O. Salminen, Soon-Gyo Jung, B. Jansen
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引用次数: 26

摘要

大量关于客户的在线分析数据为用户细分带来了新的机会。然而,对于许多组织来说,从数据中获取真正的价值仍然具有挑战性。在线分析的最新创新之一是数据驱动的人物生成,它可用于从在线分析数据创建高质量的人物表示。本文(a)总结了数据驱动角色生成在在线分析中的潜力,(b)描述了数据驱动角色生成的九个开放研究问题,(c)概述了使角色分析对决策者更有用的研究议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Future of Data-driven Personas: A Marriage of Online Analytics Numbers and Human Attributes
The massive volume of online analytics data about customers has led to novel opportunities for user segmentation. However, getting real value from data remains challenging for many organizations. One of the recent innovations in online analytics is data-driven persona generation that can be used to create high-quality human representations from online analytics data. This manuscript (a) summarizes the potential of data-driven persona generation for online analytics, (b) characterizes nine open research questions for data-driven persona generation, and (c) outlines a research agenda for making persona analytics more useful for decision makers.
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