10% of customer records contained duplicate entries, leading to billing errors

Reduced duplicates to <1% through master data management, saving $250K annually

Inconsistent product codes caused inventory mismatches

Standardized codes, improving inventory accuracy by 15%

Missing fields in sales data delayed reporting

Implemented validation rules, cutting report latency from 48h to 4h

Data entry errors increased rework costs

Introduced automated data profiling, decreasing error rate by 70%

Low data trust hindered analytics adoption

Established data quality scorecards, raising trust metrics from 60% to 92%