A comprehensive intelligent data quality audit center that spans the entire data processing lifecycle, providing multi-dimensional quality audit services in terms of completeness, accuracy, uniqueness, standardization, and timeliness.
Offers flexible and user-friendly rule configuration capabilities, including built-in and customizable rules, templates, etc.
Supports two types of rules: table-level and field-level, and provides the ability to combine single rule logic into composite rules to meet data validation requirements in complex scenarios.
Quality inspection nodes can be associated during offline development processes, providing data quality inspection capabilities to prevent the circulation of dirty data.
Offers professional data quality management functions covering evaluations of data completeness, consistency, timeliness, accuracy, stability, and standardization.
The system automatically collects statistics on anomalies caused by dirty data, displays different dirty data based on triggered rules, and can locate specific detailed data.
Based on data quality inspection results, it compiles statistics on the execution of all rules from both the table and the overall platform dimensions, providing a reference basis for data governance assessments.
Identify an enterprise's quality management requirements, design and maintain a quality rule library, and conduct data quality checks during the development process to meet the needs of process governance.
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