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Big Data consumer analytics and the transformation of marketing

机译:大数据消费者分析与营销转型

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摘要

Consumer analytics is at the epicenter of a Big Data revolution. Technology helps capture rich and plentiful data on consumer phenomena in real time. Thus, unprecedented volume, velocity, and variety of primary data, Big Data, are available from individual consumers. To better understand the impact of Big Data on various marketing activities, enabling firms to better exploit its benefits, a conceptual framework that builds on resource-based theory is proposed. Three resources-physical, human, and organizational capital-moderate the following: (1) the process of collecting and storing evidence of consumer activity as Big Data, (2) the process of extracting consumer insight from Big Data, and (3) the process of utilizing consumer insight to enhance dynamic/adaptive capabilities. Furthermore, unique resource requirements for firms to benefit from Big Data are discussed. (C) 2015 Elsevier Inc. All rights reserved.
机译:消费者分析是大数据革命的中心。技术有助于实时捕获有关消费者现象的丰富数据。因此,个人消费者可以获得空前的数据量,速度和各种原始数据大数据。为了更好地理解大数据对各种营销活动的影响,使公司能够更好地利用其优势,提出了一个基于资源理论的概念框架。三种资源(物质,人力和组织资本)控制着以下各项:(1)收集和存储消费者活动的证据作为大数据的过程,(2)从大数据中提取消费者见解的过程,以及(3)利用消费者洞察力增强动态/自适应功能的过程。此外,还讨论了企业要从大数据中受益的独特资源要求。 (C)2015 Elsevier Inc.保留所有权利。

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