大数据时代我国金融数据的服务创新

发布时间：2018-03-17 02:01

本文选题：价值链　切入点：金融大数据超市　出处：《财经科学》2015年10期 　论文类型：期刊论文

【摘要】：大数据金融已成为社会热点问题,对传统金融行业产生了强烈冲击。为了实现金融大数据的二次增值、优化内部管理、客户服务和支持产品创新,本文以价值链理论为指导,通过分析金融大数据特征和延伸传统数据价值链,构建了基于金融大数据价值链网络的数据价值链模型,建立了包括服务对象、服务内容、服务模式、管理模式和服务质量的服务体系来支持金融大数据超市的高质量运营。最后,本文研究建立了金融大数据超市的架构。
[Abstract]:Big data finance has become a hot issue in the society, which has had a strong impact on the traditional financial industry. In order to realize the second increment of financial big data, optimize internal management, customer service and support product innovation, this paper is guided by the theory of value chain. By analyzing the characteristics of financial big data and extending the traditional data value chain, this paper constructs a data value chain model based on the network of financial big data value chain, and establishes the data value chain model including service object, service content and service mode. The management mode and service system of service quality support the high quality operation of financial big data supermarket.
【作者单位】：北京邮电大学国际学院;江西省农村信用社联合社;
【分类号】：F832

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