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Strategic modeling to improve services and operation to energy industries' customers

机译:战略模型,以改善对能源行业客户的服务和运营

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Continuous analyses of demanded,services at the energy companies are the shortest path to recognize and anticipate customers' requests, reinforce and manage the communication and operational flows. Energy utilities need to increase their operational efficiency concerning costs and agility to improve useful media and evaluate customers' expectations and requirements. Operational effectiveness must pursue the demands, considering the amount of services that the companies provide at their relationship channels, the communication facilities and the systems' infrastructure. The companies need to organize a huge amount of historical and online data to represent and forecast customers' relationship scenarios. Resources evaluation ensure regional requirements and weather conditions best attendance response, adequately addressing faults at the energy distribution grid, motivate customers to use alternative media and improve relationship channels. Reaching this scenario, big data treatment techniques provide the necessary agility to achieve the monthly/hourly volume of data (millions of registers per month) and permit communication clusters' views. (C) 2016 Elsevier Inc. All rights reserved.
机译:对能源公司的需求,服务进行持续分析是识别和预测客户需求,加强和管理沟通与运营流程的最短路径。能源公用事业公司需要提高有关成本和敏捷性的运营效率,以改善有用的媒体并评估客户的期望和要求。运营效率必须满足需求,并考虑公司在其关系渠道,通信设施和系统基础架构上提供的服务量。这些公司需要组织大量的历史和在线数据,以表示和预测客户的关系场景。资源评估可确保区域要求和天气状况获得最佳的出勤响应,充分解决能源分配网中的故障,激发客户使用替代媒体并改善关系渠道。在这种情况下,大数据处理技术可提供必要的敏捷性,以实现每月/每小时的数据量(每月数百万个寄存器)并允许通信群集的视图。 (C)2016 Elsevier Inc.保留所有权利。

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