Service data processing method and device
A technology of business data and processing methods, which is applied in the field of data processing, and can solve the problems of being unable to provide quotas for corporate self-service terminals, customers handling corporate withdrawals, and being unable to know customers' corporate withdrawals, etc.
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Embodiment 1
[0042] Embodiment 1 of the present application provides a service data processing method, which will be described in detail below with reference to the accompanying drawings.
[0043] see figure 1 , which is a flow chart of a business data processing method provided by the embodiment of the present application.
[0044] The business data processing method is applied to the corporate self-service terminal, and can predict the withdrawal amount of the target object who withdraws money at the corporate self-service terminal.
[0045] The method includes the following steps:
[0046] Step 101: Obtain the identifier of the target object.
[0047] The target object is the company that withdraws money at the corporate self-service terminal, and the target object's identification can be the name of the company or the corporate account. After the identification of the target object is determined, the data is processed according to the data processing mode corresponding to the identi...
Embodiment 2
[0067] Embodiment 2 of the present application provides a service data processing method, which will be described in detail below with reference to the accompanying drawings.
[0068] see figure 2 , which is a flow chart of another business data processing method provided by the embodiment of the present application.
[0069] On the basis of Embodiment 1, the business data processing method provided in Embodiment 2 of the present application further includes the following steps:
[0070] Step 201: When the target time period is a non-working day, reduce the target quota according to a first preset ratio.
[0071] Due to non-working days, some companies may not carry out office work, so they will not handle corporate withdrawals. Therefore, in order to improve the accuracy of the forecast, during non-working hours, the target quota will be reduced according to the first preset ratio. Among them, the first A preset ratio can be 60% or 50%, and those skilled in the art can cho...
Embodiment 3
[0079] Embodiment 3 of the present application provides a service data processing device, which will be described in detail below with reference to the accompanying drawings.
[0080] see image 3 , which is a schematic diagram of another service data processing device provided in the embodiment of the present application.
[0081] The unit includes:
[0082] An acquisition module 301 and a processing module 302 .
[0083] The acquiring module 301 is configured to acquire an identifier of a target object; and acquire a corresponding network model according to the identifier.
[0084] Wherein, the network model is obtained through training samples and training results, the training samples are the first historical period, the second historical period and the first public withdrawal service corresponding to the first historical period; the training result is The second public withdrawal service corresponding to the second historical period; the second historical period is con...
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