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Demystifying the Big Data Phenomenon for Strategic Leadership

机译:为战略领导力揭开大数据现象的神秘面纱

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Organizational operations are radically shifting with the widespread adoption of connected devices and environments. These are changing customer relationships to open-ended-continuous data flows through mobile applications and cloud-distributed computing. Evolving connectivity has empowered corporate executive leaders with Big Data technologies, such as Hadoop, Cloudera, etc., to understand customers better and identify why customers choose to do or not do business with them (Barghini, 2015). For example, manufacturing-retail companies like Daimler and General Electric, and banks like Austrian retail bank Bawag, Netherland's ING, and Spain's Santander use Big Data technologies, such as Hadoop. These technology tools provide executives with new insights by predicting customer behavior based upon different variables (e.g., time of day they shop, tendency to buy certain products, likelihood to have a life event such as get married, have a baby, etc.). Knowing when a data point is going to change can empower retailers to interact online with the customer at the right time and with the right products and services.
机译:随着互联设备和环境的广泛采用,组织运营正在发生根本性转变。这些正在通过移动应用程序和云分布式计算将客户关系改变为开放式连续数据流。不断发展的连通性使企业执行领导者能够使用Hadoop,Cloudera等大数据技术,更好地了解客户并确定客户选择与他们开展业务或不开展业务的原因(Barghini,2015年)。例如,戴姆勒(Daimler)和通用电气(General Electric)等制造零售公司以及奥地利零售银行Bawag,荷兰的ING和西班牙的桑坦德银行(Santander)等银行都使用大数据技术,例如Hadoop。这些技术工具可以根据不同的变量(例如,他们一天中的购物时间,购买某些产品的倾向,发生诸如结婚,生孩子等生活事件的可能性)来预测客户的行为,从而为高管人员提供新的见解。知道何时将更改数据点可以使零售商在适当的时间以及正确的产品和服务上与客户进行在线交互。

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