How Our Quality Engine Works
Our machine learning-powered system analyzes multiple dimensions of data quality to provide a comprehensive assessment.
completeness
Measures the presence of required data and identifies missing values that could impact analysis.
uniqueness
Identifies duplicate records and ensures data integrity through deduplication analysis
consistency
Checks for logical consistency across fields and ensures data follows expected patterns.
usability
Evaluates how well the data is structured for analysis and machine learning applications.
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