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A Data warehouse based analysis on CDR to depict market share of different mobile brands

机译:基于CDR的数据仓库分析,以描绘不同移动品牌的市场份额

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Each mobile device represents the digital footprint of the owner; at the same time mobile location data stored in telecom operators' databases in terms of Call Detail Record (CDR). It holds the precise identity of the mobile cell tower to which the owner is connected at any given time. Effectively mobile device count within a region for some time period can be calculated. Again, International Mobile Equipment Identity (IMEI) number is an unique identity to every mobile device, a part of which, known as Type Allocation Code (TAC) uniquely identifies the make and model of the mobile device which further identify the company or manufacturer of the mobile device. So combining them it is possible to analyze different business information about mobile penetration of companies in a defined region; hence the localized market share comparisons with other companies as well as among different models of same company. In order to model the problem and analyze huge CDR data, an analytical processing is carried out here using data warehouse. Here we propose a suitable Data warehouse schema which comprises of the required dimensions along with their concept hierarchies. The ETL processing which is done to form the data warehouse is described here. Finally the lattice of cuboids is constructed to carry out the OLAP processing from all possible business perspective.
机译:每个移动设备代表所有者的数字足迹;同时,根据呼叫详细记录(CDR),将移动位置数据存储在电信运营商的数据库中。它拥有所有者在任何给定时间连接到的移动蜂窝塔的精确身份。可以有效地计算某个时间段内某个区域内的移动设备数量。同样,国际移动设备标识(IMEI)号是每个移动设备的唯一标识,其中一部分(称为类型分配代码(TAC))唯一标识移动设备的品牌和型号,从而进一步标识该移动设备的公司或制造商移动设备。因此,将它们结合起来就可以分析有关定义区域内公司的移动渗透率的不同业务信息;因此,可以将本地化的市场份额与其他公司以及同一公司的不同型号进行比较。为了对问题进行建模并分析庞大的CDR数据,此处使用数据仓库进行了分析处理。在这里,我们提出了一个合适的数据仓库模式,该模式包含所需的维度及其概念层次结构。这里描述了完成ETL处理以形成数据仓库的过程。最后,从所有可能的业务角度构造长方体的晶格,以执行OLAP处理。

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