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The impact of data accuracy on user-perceived business service's quality

机译:数据准确性对用户感知的业务服务质量的影响

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As business processes have become increasingly automated, data quality becomes the limiting and penalizing factor in the business service's overall quality, and thus impacts customer satisfaction, whether it is an end-user, an institutional partner or a regulatory authority. The available research that is related to business services' quality paid very little attention to the impact of poor data quality on good services delivery and customer satisfaction, and to the calculation of the optimal level of data quality. The aim of this paper is to present a customer-oriented approach that will help to understand and analyze how an organization business service's overall quality is linked to the quality of upstream business processes and of data objects in use. This paper also introduces a calculation framework that allows the identification of an optimal level of data quality - data accuracy dimension in the case of this paper - taking into account the business processes' execution accuracy and data accuracy.
机译:随着业务流程变得越来越自动化,数据质量成为业务服务整体质量的限制和不利因素,从而影响客户满意度,无论是最终用户,机构合作伙伴还是监管机构。与业务服务质量相关的可用研究很少关注不良数据质量对良好服务交付和客户满意度的影响,以及对最佳数据质量水平的计算。本文的目的是提出一种面向客户的方法,该方法将有助于理解和分析组织业务服务的整体质量如何与上游业务流程和所使用的数据对象的质量相关联。本文还介绍了一种计算框架,该框架考虑到业务流程的执行准确性和数据准确性,可以确定最佳数据质量级别(在本文中为数据准确性维度)。

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