当这个原型是明确的最优的时，它可能帮你识别模型的元素——这不是服务本身——作为服务的客户。
While this stereotype is most definitely optional, it may help you identify elements of a model — that are not services themselves — as clients of services.
分析和预测模型可以识别客户流失的驱动因素，优化配置资源，以及指示对高风险、高价值客户的联系策略。
Analytics and predictive modeling can help to identify drivers of churn, prioritize resources and alert contact strategy for customers that are both high-risk and high-value.
主要讨论数据建模技术在电信业务支撑系统中的应用。以异常客户的识别为例，阐述了数学模型的构建与使用。
The application of data modeling technology in Telecommunication BSS was discussed, and a sample about an unusual customer's recognition system was presented.
应用推荐