Power customer multi-incoming call service risk early warning method
A risk early warning and customer-oriented technology, applied in the field of big data analysis, can solve the problems of limited improvement in customer perception, heavy workload, and insufficient support for rapid risk positioning, so as to improve service response speed, improve enterprise management level, and facilitate promotion The effect of applying value
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[0039] A method for early warning of service risks for power customers with multiple calls, comprising the following steps:
[0040] Step 1: Obtain the call data of the 95598 work order;
[0041] Step 2: Analyze the work order incoming call data set; the specific process is as follows:
[0042] Step 2.1: Determine the last 30 days as the modeling time window, and obtain the work order call data of 95598 customers in the modeling time window;
[0043] Step 2.2: Pre-processing the above data by removing abnormal data and filling the average value of abnormal data to obtain the processed customer data;
[0044] Step 2.3: Build the basic features of the model; specifically include: the status of the last work order, the time difference between the last call and the last call, the time period of the last call, the duration of calls within 15 days, the working hours of calls within 15 days, and the number of work orders dispatched within 15 days , The number of work orders complet...
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