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Customer data quality and completeness (DQ audit)

Business question
Can we trust our customer data to steer the relationship?
What's at stake
For a company with 250,000 customer records (CRM, billing, contacts): 15,000 to 24,000 records fixed, or $60k to $96k a year in rework and wasted mailings avoided.
Data required
Extracts from the main customer databases (CRM, billing, contacts).
Sample result
Data quality report: completeness, duplicates, inconsistencies, with a correction plan.
Demo · 1 min
Illustrative scenario

Take a home insurer with 250,000 customers whose records are spread across CRM, billing and a contact tool. The audit cross-checked the three databases, measured the anomalies (a third of them records with no usable phone or email) and fixed 60% of them by cross-referencing.

MetricBeforeAfter
Records with at least one anomaly12%4.8%
Customers with no usable phone or email10,0004,000
Annual cost of bad records$120k$48k
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