Method and device for quickly checking and sharing customer collection data

Abstract

The invention discloses a method and a device for quickly checking and sharing customer collection data, and belongs to the field of data processing. The method comprises the steps of receiving a datachecking request from a checking user, storing to-be-checked data in the data checking request to a corresponding checking source to obtain checking columns, and recording the checking user and checking time; configuring a checking rule according to a checking field and a checking index contained in the data checking request, and establishing association between the checking rule and the corresponding checking column; and checking the to-be-checked data in the associated check column according to the check rule to obtain a check result, and returning the check result to the check user. According to the invention, the shared checking model (shared database) is adopted to check the to-be-checked data in a longitudinal manner, so that the time consumption is reduced; only the database is operated in the whole process, new resources are checked, research and development personnel do not need to be invested for development, and manpower investment is reduced; and meanwhile, a historical check record query function is also provided.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for quickly checking and sharing customer collection data. Background technique [0002] With the development of client business capabilities and the needs of system construction, the data of various client resources has grown extremely rapidly, and group customers have higher and higher requirements for data quality; at the same time, with the construction of a unified client platform, relevant resource data needs to be realized Shared and provided to other upper-level service calls; therefore, mobile service providers need to have the ability to quickly import and quickly verify resource data, improve the accuracy, integrity, and sharing of resources, so as to achieve the purpose of rapid construction and fast charging to ensure It can quickly develop customers and occupy the market. [0003] However, in the existing verification methods for inbound customer ...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing verification methods for inbound customer data, when a mobile user imports resource data or checks existing stock data, the background analysis program performs circular analysis and puts it into the cache, and horizontally (by row) according to the verification indicators provided ) check data and store the check results; however, with the continuous increase of check data, the existing customer data check methods have at least the following defects: on the one hand, the formulation of each resource data entry method and check rules is based on research and development manual Coding, its stability is weak and there are many bugs, which has caused problems such as the irregularity of some data and the low pass rate of verification indicators; Take out the data and check them one by one according to the verification indicators. The performance is low, the user waits for a long time, and the cache structure cannot cache more data, which easily leads to memory overflow, while the performance consumed by the parsing program doubles, which reduces the user experience; On the one hand, the reuse rate of the resource verification function is low. For the verification of new resource data, it is necessary to invest R&D manpower to develop and debug the newly imported resources before they can be put into production to ensure the accuracy and integrity of resource verification; The historical verification cannot be recorded, and users cannot view their own historical verification records

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