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通过对大数据背景的深入了解,对客户关系管理系统信息质量方面展开针对性的研究,主要涉及客户关系管理内部的质量管理理论以及客户关系管理中的质量管理研究。通过提高客户信息质量方面的管理,企业能够针对客户关系管理的成熟度进行等级划分,建立出相应等级的数据模型,并根据企业内部个人、组织以及技术的因素作为数据模型的原始数据,从数据模型中总结出针对客户关系质量管理的评价体系,为企业客户关系质量方面的提高提供更有力依据。
Through in-depth understanding of the background of big data, this dissertation focuses on the information quality of customer relationship management system. It mainly involves the internal quality management theory of customer relationship management and the quality management research in customer relationship management. By improving the quality of customer information management, enterprises can grade the maturity of customer relationship management, establish the corresponding level of data model, and according to the internal personal, organizational and technical factors as the data model of the original data from the data The model summarizes the evaluation system of customer relationship quality management and provides a more powerful basis for the improvement of enterprise customer relationship quality.