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Data Quality Dashboard

Data Quality Score & Cost Dashboard

Enter your database size and data-health signals to see the quality score and overall dirty-data cost impact.

1. Contact details

Share your details to personalize this assessment.

2. Your database

Select the industry and total record volume.

3. Data health signals

Adjust the five quality inputs.

0%
Typical: 9%Best: 2.5%
0%
Typical: 12%Best: 4%
0%
Typical: 23%Best: 8%
0 mo
Typical: 17 moBest: 8 mo
0%
Typical: 16%Best: 6%
Grade A — Excellent

Data Quality Score

0.0% 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 100/100 (Excellent). Approximately 0 of 50,000 records (0.0%) 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.

Estimated Dirty Records0
Estimated Dirty Rate0.0%
Overall StatusExcellent

Top Data Quality Drivers

The three inputs contributing most strongly to the current quality risk.

Invalid / Disconnected PhonesWithin benchmark (0% vs 16% typical)
Average Data AgeWithin benchmark (0 mo vs 17 mo typical)
Missing / Incomplete FieldsWithin benchmark (0% vs 23% typical)

Overall Cost

Calculated using the same industry-specific cost and cleanup assumptions from the previous calculator.

Annual Cost Impact$0
Est. Cleanup Investment$500
Cleanup ROI-100%
Possible Recoverable Value$0
Potential Benefit$-500

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.

B3 Consulting · Data Quality Score & Cost Dashboard

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