Data Quality Score & Cost Dashboard
Enter your database size and data-health signals to see the quality score and overall dirty-data cost impact.
Contact details
Share your details to personalize this assessment.
1. Your database
Select the industry and total record volume.
2. Data health signals
Adjust the five quality inputs.
Data Quality Score
64.8% of the database is estimated to be affected by at least one data-quality issue.
Executive Result Summary
A simple interpretation of the current data-quality and financial results.
Your current data quality score is 54/100 (Poor). Approximately 32,397 of 50,000 records (64.8%) are estimated to have at least one quality issue. The financial impact and cleanup opportunity shown below are based on the Professional Services cost assumptions used by this model.
vs Industry Benchmark
| Signal | Your Value | Typical | Best-in-Class | Status |
|---|---|---|---|---|
| Email Bounce Rate | 12% | 9% | 2.5% | At Risk |
| Duplicate Records | 14% | 12% | 4% | At Risk |
| Missing / Incomplete Fields | 25% | 23% | 8% | At Risk |
| Average Data Age | 18 mo | 17 mo | 8 mo | At Risk |
| Invalid / Disconnected Phones | 18% | 16% | 6% | At Risk |
| Dirty Rate | 64.8% | 27% | — | At Risk |
Top Data Quality Drivers
The three inputs contributing most strongly to the current quality risk.
Overall Cost
Calculated using the same industry-specific cost and cleanup assumptions from the previous calculator.
Professional Services model assumptions: $13.00 annual impact per dirty record, $0.80 cleanup cost per dirty record, 70% recoverable value, and a $500 minimum cleanup investment.