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Thinking outside the analysis cube

机译:在分析立方体之外思考

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With data services comes the transition from ubiquitous telephony services to multi-layered, highly segmented service offerings. This in turn requires a more sophisticated approach to customer analysis, says Peter Beard of WhiteLight Systems. Telecommunications is about providing access to information - whether on a web page, in an e-mail, by text message, fax or phone call. Details of this communication have to be stored, accessed and managed by the networks that make it happen. But as the number of ways to access data grows, so does the amount of data. Even with basic GPRS services, mobile telcos face a major nightmare in trying to analyse what their customers are doing. A daily total of several hundred million call data records accumulate, and telcos must examine these to second-guess what tariffs or services customers would ideally like - and how much they would be prepared to pay. With the advent of 2.5G and 3G, there will be a data 'explosion.'The huge array of new services open to customers will add masses of additional dimensions to the analysis puzzle, including location, data type, content type and multiple billing options. Yet telcos will have no choice but to get a grip on this enormous data mountain: it will be crucial if they want to understand their customers, offer the right services and make money.
机译:数据服务伴随着从无所不在的电话服务向多层,高度细分的服务产品的过渡。 WhiteLight Systems的Peter Beard说,这反过来需要一种更复杂的客户分析方法。电信是关于通过网页,电子邮件,文本消息,传真或电话提供对信息的访问。这种通信的细节必须由实现它的网络进行存储,访问和管理。但是,随着访问数据方式的增多,数据量也在增加。即使使用基本的GPRS服务,移动电信公司在尝试分析其客户的业务时也面临着重大的噩梦。每天总共累积了几亿个呼叫数据记录,电信公司必须检查这些记录,以猜测客户理想的价格或服务,以及他们准备支付多少费用。随着2.5G和3G的到来,将出现数据爆炸式增长。向客户开放的大量新服务将为分析难题增加大量其他维度,包括位置,数据类型,内容类型和多种计费选项。然而,电信公司别无选择,只能掌握这个巨大的数据山:如果他们想了解自己的客户,提供正确的服务并赚钱,这至关重要。

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