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Kanthaka: Big Data Caller Detail Record (CDR) Analyzer for Near Real Time Telecom Promotions

机译:Kanthaka:大数据来电者详细信息记录(CDR)分析仪,用于近实时电信促销

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摘要

With the competitiveness that is growing in the telecom industry, the operators seek for ways to attract and keep the subscribers in their network. Giving away attractive promotions to their subscribers is a powerful and commonly used approach in that context. With the technical limitations and the scales of the rising subscriber base, these promotions have been limited to a very narrow pattern. In order to gain a competitive advantage, the operators need new technologies and methodologies to support more attractive newer patterns of promotions, despite the challenges involved in complex analyzing procedures. In this research study, we have come up with a system to select eligible users for a particular predefined promotion, analyzing the Caller Detail Records, while being scalable for a rapidly escalating subscriber base.
机译:随着电信行业增长的竞争力,运营商寻求吸引和保留其网络中的订户的方法。 在这方面,向他们的订户提供有吸引力的促销活动是一种强大而常用的方法。 通过技术限制和上升用户群的尺度,这些促销范围仅限于非常窄的模式。 为了获得竞争优势,运营商需要新技术和方法来支持更具吸引力的促销模式,尽管复杂分析程序涉及挑战。 在这项研究中,我们提出了一个系统来选择符合条件的用户,用于特定预定义的促销,分析呼叫者详细信息记录,同时可以为快速升级的用户群进行缩放。

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