利用社会商业智能增强分析型CRM策略

D. Beverungen, M. Eggert, Matthias Voigt, M. Rosemann
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引用次数: 17

摘要

围绕互联网上的社交媒体建立的大型社区为增强分析客户关系管理(CRM)策略提供了机会。本文的目的是为推进实施CRM战略的商业智能(BI)系统的概念设计提供方向。在介绍社交CRM和社交BI作为新兴研究领域之后,作者将CRM策略与重新设计的Facebook概念数据模型相匹配,以说明这些数据的战略价值。随后,作者为社会商业智能设计了一个多维数据模型,并通过设计零售场景中的管理报告来证明其适用性。在服务蓝图框架的基础上,作者为新兴的社会BI领域提出了一个结构化的研究议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmenting Analytical CRM Strategies with Social BI
Large communities built around social media on the Internet offer an opportunity to augment analytical customer relationship management (CRM) strategies. The purpose of this paper is to provide direction to advance the conceptual design of business intelligence (BI) systems for implementing CRM strategies. After introducing social CRM and social BI as emerging fields of research, the authors match CRM strategies with a re-engineered conceptual data model of Facebook in order to illustrate the strategic value of these data. Subsequently, the authors design a multi-dimensional data model for social BI and demonstrate its applicability by designing management reports in a retail scenario. Building on the service blueprinting framework, the authors propose a structured research agenda for the emerging field of social BI.
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