Big data-based customer relationship management and service intelligent tracking system and method

Abstract

The invention relates to a big data-based customer relationship management and service intelligent tracking system and method. The system comprises a big data-based analysis server, a relay server based on a cloud computing platform, a communication protocol management server, a network identity authentication server, and a database server. The big data-based analysis server, the communication protocol management server, the network identity authentication server and the database server are all in data connection with the relay server based on a cloud computing platform. The tracking method comprises the four steps of system assembly, system prefabrication, service monitoring and customer analysis. According to the invention, the requirements of remote acquisition and centralized analysis operation of various service working contents, working environments and various complex data can be effectively met; and meanwhile, expected service requirements of customers can be accurately analyzed and pre-judged, so that the aim of improving the service work development efficiency, precision and quality is fulfilled, and the service work development cost is reduced.

Description

technical field [0001] The invention relates to a system and method for customer relationship management and business intelligence tracking based on big data, belonging to the field of information communication technology. Background technique [0002] At present, in various industries such as commerce, agriculture, and industry, it is necessary to use business personnel to carry out business work for corresponding tasks. In order to improve the supervision and control of business work and the monitoring of staff work efficiency, many business management and business Customer management analysis system, for example, the patent publication number is CN111275485A, the publication date is 20200612, the patent application number is 202010052468.0, the patent name is the grid customer classification method, system, computer equipment and storage medium based on big data analysis, and the patent publication number is CN112102069A , the publication date is 20201218, the patent appl...

AI Technical Summary

Problems solved by technology

[0002] At present, in various industries such as commerce, agriculture, and industry, it is necessary to use business personnel to carry out business work for corresponding tasks. In order to improve the supervision and control of business work and the monitoring of staff work efficiency, many business management and business Customer management analysis system, for example, the patent publication number is CN111275485A, the publication date is 20200612, the patent application number is 202010052468.0, the patent name is the grid customer classification method, system, computer equipment and storage medium based on big data analysis, and the patent publication number is CN112102069A , the publication date is 20201218, the patent application number is 202010985561.7, and the patent name is a management analysis system such as a personal real estate mortgage loan information input analysis system. Although it can meet the needs of use to a certain extent, the current business management and analysis systems of this type are in During operation, on the one hand, the system construction structure is complex, and often can only meet the needs of specific fields or work types of data management and analysis operations, so there are deficiencies in the flexibility and versatility of the system to varying degrees; on the other hand, the current system When this type of system is running, the efficiency of data transmission and analysis operations is low, and the security of data communication is relatively poor, and it is easy to cause information leakage security risks due to data leakage. Synchronous tracking and monitoring of business development work also fails to achieve accurate data based on current business work development and analysis and prediction of customer demand information, which leads to poor supervision accuracy of business work, and also leads to extremely poor follow-up business development work. Defects that are prone to work failure and increased work costs due to misjudgment

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