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A STUDY OF DATA QUALITY ISSUES IN MOBILE TELECOM OPERATORS

机译:移动电信运营商数据质量问题研究

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Telecommunication operators currently servicing mobile users world-wide have dramatically increased in the last few years. Although most of the operators use similar technologies and equipment provided by world leaders in the field such as Ericsson, Nokia-Siemens, Motorola, etc, it can be observed that many vendors utilize propriety methods and processes for maintaining network status and collecting statistical data for detailed monitoring of network elements. This data forms their competitive differentiation and hence is extremely valuable for the organization. However, in this paper we will demonstrate through a case study based on a GSM operator in Iran, how this mission critical data can be fraught with serious data quality problems, leading to diminished capacity to take appropriate action and ultimately achieve customer satisfaction. We will further present a taxonomy of data quality problems derived from the case study. A breif survey of reported literature on data quality is presented in the context of the taxonomy, which can not only be utilized as a framework to classify and understand data quality problems in the telecommunication domain but can also be used for other domains with similar information systems landscapes.
机译:目前为移动用户提供世界范围内的电信运营商在过去几年中大大增加。虽然大多数运营商在Ericsson,诺基亚 - 西门子,摩托罗拉等领域使用世界领导者提供的类似技术和设备,但是可以观察到许多供应商利用适用的方法和过程来维护网络状态并收集统计数据网络元素的详细监控。这种数据形成了竞争的差异化,因此对组织来说是非常有价值的。然而,在本文中,我们将通过基于伊朗的GSM运营商的案例研究来证明,这位任务关键数据可以充分利用严重的数据质量问题,从而减少采取适当行动的能力和最终实现客户满意度。我们将进一步提出案例研究中源自源自筛选的数据质量问题的分类。关于数据质量的报告文献的Breif调查是在分类学的背景下介绍,它不仅可以用作分类和理解电信域中的数据质量问题的框架,而且还可以用于具有类似信息系统的其他域景观。

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