Data quality checking method, device and equipment and readable storage medium

Abstract

The invention provides a data quality check method, device and equipment and a readable storage medium, and the method comprises the following steps: 1), carrying out the correlation modeling of multi-business system data according to a quality check demand, and generating a correlation modeling result; 2) according to the correlation modeling result, configuring a data quality check rule, and obtaining a data configuration result; 3) importing the data configuration result into a rule parser to generate a check script; 4) importing the check script into a script executor to generate a check detail list; and 5) summarizing and counting the check detail list to generate a check result report. The multi-service system data is temporarily associated and summarized according to different checkrequirements, the to-be-checked data is preliminarily screened, the data range is limited, the accuracy and effectiveness of a quality check result can be greatly improved, and the use and maintenance cost is reduced.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a data quality checking method, device, equipment and readable storage medium. Background technique [0002] After 20 years of development in the information construction of my country's banking industry, a relatively complete information system has been established, and a large amount of data has been accumulated through a wide range of business types and various financial products. In 2018, the China Banking and Insurance Regulatory Commission issued the "Guidelines for Data Governance of Banking Financial Institutions" issued by the China Banking and Insurance Regulatory Commission [2018] No. 22, in order to guide banking financial institutions to strengthen data governance, improve data quality, maximize data value, and enhance business management capabilities. From the perspective of the data life cycle, the following links are most likely to cause data quality pro...

AI Technical Summary

Problems solved by technology

However, these tools are often not configurable enough, and cannot customize the quality inspection rules according to changes in requirements, and cannot conduct a comprehensive inspection of the data of the bank's business systems

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