530,000+ automated validation rules catching 16,150 discrepancies across 175,971 data points.
Nick deployed a comprehensive data validation infrastructure spanning 530,000+ automated validation rules across all production systems. This infrastructure serves as the quality backbone ensuring every data point that reaches stakeholders — whether Board presentations, MIAC Analytics submissions, or investor Data Room Tapes — meets production-grade accuracy standards.
The validation system has caught 16,150 discrepancies across 175,971 data points, reducing manual review cycles from 10+ hours to 2-3 hours while maintaining 100% MIAC submission quality scores. The MIAC Bundle Validation Engine component specifically catches pre-submission variances — including $663,600 in variances and 2 missing loans identified before investor-facing reports shipped.
This infrastructure represents the invisible backbone of data quality that makes all other deliverables trustworthy.