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Study on the Continuous Quality Improvement of Telecommunication Call Centers Based on Data Mining

机译:基于数据挖掘的电信呼叫中心持续质量改进研究

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Based on the study of the processes of telecommunication call centers, the service quality metrics of the call centers are put forward. And the mode of the continuous service quality improvement of the call centers based on data warehouse and data mining is studied. Then the process of the IVR (Interactive Voice Response) is analyzed and a mode for the efficiency improvement of IVR is put forward based on the exchange of the orders of the service items in the IVR. Then a service quality metrics of the agents, the ratio of recall in one hour, is put forward. This metrics can be used in the performance analysis of the agents. Furthermore, the model of the performance analysis and control of the ASA (Average Speed of Answer) based on data mining and SPC (Statistical Process Control) is put forward. At last, a method for forecasting the call arriving in is put forward based the time series analysis using dynamic data mining. The result certified that the efficiency and service quality of the telecommunication call center can be improved obviously using the method in this paper.
机译:在对电信呼叫中心流程进行研究的基础上,提出了呼叫中心的服务质量指标。研究了基于数据仓库和数据挖掘的呼叫中心持续服务质量提升模式。然后,分析了IVR(Interactive Voice Response,交互式语音响应)的过程,并基于IVR中服务项目的订单交换,提出了一种提高IVR效率的模式。提出了座席的服务质量指标,即一小时的召回率。此度量标准可用于代理的性能分析。此外,提出了基于数据挖掘和SPC(统计过程控制)的ASA(平均回答速度)性能分析和控制模型。最后基于动态数据挖掘的时间序列分析提出了一种预测来电的方法。结果证明,使用该方法可以明显提高电信呼叫中心的效率和服务质量。

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