Data Quality Metrics
Evaluate and improve the quality of your data
Database Schema
Select the database and tables to evaluate
Main customer database with user profiles and transaction history
Customer profiles and account information
Quality Metrics
Configure weights for quality evaluation
Measures if all required fields are filled
25%
Measures if data values are correct and reliable
30%
Measures if data is consistent across the database
20%
Measures if data is up-to-date
15%
Measures if data has no duplicates
10%
Grading Scale
Define how quality scores map to letter grades
AExcellent
Score Range:90-100%
BGood
Score Range:80-89%
CAverage
Score Range:70-79%
DPoor
Score Range:60-69%
FFailing
Score Range:0-59%