Ensure data quality and integrity with automated validation rules and quality metrics
87
Overall Quality Score
Good3
Validation Rules Passed
2
Warnings
1
Issues to Fix
Completeness
92% of required fields are populated
92%
Accuracy
87% of values pass format and range checks
87%
Consistency
78% of related fields are consistent
78%
Timeliness
Data is current and up-to-date
95%
Duplicate Records
Check for duplicate rows based on key fields
Email Format
Validate email addresses match standard format
Budget Range
Ensure budget values are within acceptable range
Data Consistency
Check for inconsistent values across related fields
Missing Values
Identify missing or null values in critical fields
Fix Data Consistency Issues (45 records)
Inconsistencies found between institution type and funding category. Review and correct these 45 records to improve data reliability.
Complete Missing Values (234 records)
234 records have missing contact information. Consider using data enrichment or contacting data providers to fill these gaps.
Validate Email Addresses (12 records)
12 email addresses don't match standard format. Review and correct these entries or mark them as invalid.