A Framework for Evaluating the Business Value of Customer Data in Hospitality

G. Piccoli
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引用次数: 12

Abstract

ABSTRACT The unprecedented volume of data captured by modern hospitality firms during the co-production of the service experience can be used to create economic value. In this article we provide a set of frameworks grounded in the cross-disciplinary literature in information systems, strategy and marketing, to conceptualize what data-driven initiatives will align best with different firm strategies and value propositions. The first framework enables a disciplined industry analysis by enabling joint evaluation of the theoretical repurchase rate, degree of customizability of products and services, and degree of unobtrusive data capture that characterizes a given firm's value proposition. The analysis then moves to the individual initiative's level and offers guidance as to how to identify and prioritize these specific data-driven initiatives. This process starts with identifying the key transaction processing systems in the organization and inventorying the data they capture and store. After envisioning possible initiatives that leverage these data, the methodology suggests a way to prioritize projects to ensure that only those offering positive returns are implemented. A case analysis is used to illustrate the use of the proposed frameworks.
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评估酒店业客户数据商业价值的框架
现代酒店公司在服务体验的共同生产过程中捕获的前所未有的数据量可用于创造经济价值。在本文中,我们提供了一套基于信息系统、战略和营销等跨学科文献的框架,以概念化哪些数据驱动的举措将与不同的公司战略和价值主张保持最佳一致。第一个框架通过联合评估理论回购率、产品和服务的可定制程度,以及表征给定公司价值主张的不引人注目的数据捕获程度,实现了有纪律的行业分析。然后,分析转移到单个计划的层次,并提供关于如何识别和确定这些特定数据驱动计划的优先级的指导。此流程首先确定组织中的关键事务处理系统,并对它们捕获和存储的数据进行盘点。在设想了利用这些数据的可能举措之后,该方法提出了一种确定项目优先级的方法,以确保只有那些提供积极回报的项目才得以实施。用一个案例分析来说明所提出的框架的使用。
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