Data quality audit method based on database schema
A technology of data quality and database, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as data anomalies, achieve the goal of strengthening measurement management capabilities, improving measurement work quality, and improving measurement work efficiency Effect
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[0020] The data quality audit function is divided into three modules, namely KPI indicator management, data quality analysis and alarm management.
[0021] 1), KPI indicator management
[0022] The data to be verified is divided into three types: basic data, measurement data and documents. The basic data data needs to be checked for correlation integrity and important attribute non-empty; for the measurement data, it needs to be checked for the mutation of the detailed data and the summary measurement data, the line loss data exceeds the threshold value, and the summary measurement data consistency check, details Data integrity rate verification. File verification refers to the normative verification of interface files and the normative verification of interface file loading data.
[0023] a. Create indicators
[0024] Add the function of creating KPI indicators on the front page, allowing users to establish data value ranges, verification rules, and verification strategies.
[0025]...
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