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Online channel business data processing method and system based on deep learning

A technology of business data and deep learning, applied in the field of data processing, can solve problems such as low utilization of data value, influence on accuracy, and low utilization of data value, so as to increase market share and influence, improve data prediction accuracy, and promote business The effect of value co-creation

Pending Publication Date: 2021-04-02
SHANDONG LUNENG SOFTWARE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (3) There is a lot of stock data, and the value of the data is not highly utilized. Since the launch of each online channel, a large amount of business data has been accumulated, and the amount of real-time business processing is huge. The data sources and recording methods of each channel are different, resulting in a large amount of data. Irrelevant information, the value density and authenticity of channel operation data are greatly affected, and this difference will greatly affect the accuracy of analysis of each channel operation data, and the current data value utilization is low

Method used

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  • Online channel business data processing method and system based on deep learning

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Comparison scheme
Effect test

Embodiment 1

[0036] Such as figure 1 As shown, Embodiment 1 of the present disclosure provides a method for processing online channel business data based on deep learning, including the following steps:

[0037] Obtain operational data and electricity customer data of various online channels;

[0038] Preprocess the acquired data to obtain data in a uniform format;

[0039] Input the preprocessed data into the preset long-term and short-term memory neural network model to obtain the trend data and risk point data of various business processes in the online channel;

[0040] Integrate historical data, business processing trend data and risk point data to obtain multi-dimensional data based on date, unit and channel, and conduct business guidance based on the obtained multi-dimensional data.

[0041] Specifically, include the following:

[0042] S1: Business diagnosis and demand research

[0043] Sort out the business pain points of the power company and the business data related to the ...

Embodiment 2

[0064] Embodiment 2 of the present disclosure provides an online channel business data processing system based on deep learning, including:

[0065] The data acquisition module is configured to: acquire the operation data and electricity customer data of various online channels;

[0066] The data preprocessing module is configured to: preprocess the acquired data to obtain data in a uniform format;

[0067] The data prediction module is configured to: input the preprocessed data into the preset long-term and short-term memory neural network model, and obtain the trend data and risk point data of various business processes in the online channel;

[0068] The data fusion module is configured to: integrate historical data, business processing trend data and risk point data to obtain multi-dimensional data based on date, unit and channel, and conduct business guidance based on the obtained multi-dimensional data.

[0069] The working method of the system is the same as the deep l...

Embodiment 3

[0071] Embodiment 3 of the present disclosure provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, the method for processing online channel business data based on deep learning as described in Embodiment 1 of the present disclosure is implemented. The steps are as follows:

[0072] Obtain operational data and electricity customer data of various online channels;

[0073] Preprocess the acquired data to obtain data in a unified format;

[0074] Input the preprocessed data into the preset long-term and short-term memory neural network model to obtain the trend data and risk point data of various business processes in the online channel;

[0075] Integrate historical data, business processing trend data and risk point data to obtain multi-dimensional data based on date, unit and channel, and conduct business guidance based on the obtained multi-dimensional data.

[0076] The detailed steps are the same as the met...

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Abstract

The invention provides an online channel business data processing method and system based on deep learning. The method comprises the following steps: obtaining operation data and electricity customerdata of each online channel; preprocessing the obtained data to obtain data with a uniform format; inputting the preprocessed data into a preset long-term and short-term memory neural network model toobtain various business handling trend data and risk point data of each online channel; and fusing the historical data, the business handling trend data and the risk point data to obtain multi-dimensional data based on dates, units and channels, and performing business guidance according to the obtained multi-dimensional data. According to the method, deep learning is adopted, the multivariate data mining analysis model is expanded, the data prediction precision is improved, prediction of various business handling trends of online channels and possible risk points is realized, marketing leanmanagement is digitally driven, and the perception, analysis and management and control capability of marketing operation conditions is improved.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular to a method and system for processing online channel business data based on deep learning. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] At present, for the external service online channels of power companies, the analysis of channel operation data has been strengthened, and mobile operation applications, intelligent business halls, data mining and sharing have been deeply integrated to create an integrated online and offline service model, and mining and analysis of channel service business models With user portraits, research on short-term and medium-term online channel business behavior trend forecasts, and formulate targeted operating strategies to fully support the online State Grid APP and various operational activit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/06G06Q50/06G06F16/904G06N3/04G06N3/08
CPCG06Q30/0201G06Q10/0635G06Q50/06G06F16/904G06N3/049G06N3/08G06N3/045
Inventor 汪友杰颜康闫婷婷任显坤高建峰史敏王胜生林鹏翔车慧明田亮郎济莹王栋李天舒陈军金叶
Owner SHANDONG LUNENG SOFTWARE TECH