A user information management method and device

Abstract

This embodiment provides a user information management method and device, which relate to the field of data processing technology, can solve the problems of cross-provincial number information redundancy and information fragmentation, and provide assistance for further realizing unified query and management of customer information. The method is: acquire first user data information from multiple data sources, the first user data information includes first credential information and a first identifier corresponding to the first credential information, if the first credential information corresponds to The number of the first identification of the first identification is greater than 1, determine the main identification corresponding to the first credential information according to the preset policy, and modify the first identification other than the main identification corresponding to the first credential information to the first credential information corresponding primary identifier, and store the first credential information and the primary identifier corresponding to the first credential information.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a user information management method and device. Background technique [0002] At present, the business service and customer service provided by the communication industry are basically managed according to the place of origin with the telephone number as the basic unit, even if different systems in the same place of residence are managed separately. This provincial and system-based customer data management model has led to fragmented and incomplete customer information. To recognize a real person, it is necessary to manually gather multiple customer data from different provinces and different systems to identify them. The same customer handles business in different provinces and different business systems. It is necessary to create multiple copies of customer information. There are far fewer customers, and too much redundant and intertwined information makes it ...

AI Technical Summary

Problems solved by technology

This sub-provincial and sub-system customer data management model has led to fragmented and incomplete customer information. To recognize a real person needs to manually gather multiple customer data from different provinces and different systems before they can be identified.

The same customer handles business in different provinces and different business systems. It is necessary to create multiple copies of customer information. There are far fewer customers, and too much redundant and intertwined information makes it difficult to truly identify and gain insight into the true face of a customer

[0003] In addition, the data structures of different provinces and systems are quite different, and the interoperability is poor, so there are disadvantages such as being unable to provide customers with complete information inquiries as a real natural person subject, and also unable to provide group services well.

Operators also cannot fully understand and grasp their own customer status. A natural person's customer information is fragmented and scattered in different places. No matter which entrance the information seen is incomplete, the potential value of these data cannot be truly utilized.

Moreover, the traditional province-based number-centered operation management system is difficult to match with the intensive customer operation management system of Internet companies, making it more difficult for operators and Internet companies to cooperate in depth

Images