Data discipline для банка

Что мы знаем про banking data

Banking data — высоко sensitive (financial PII), highly regulated (cbu.uz, AML, data protection law), и historically fragmented (АБС + product silos + legacy DWH).

Наша экспертиза:

Data quality framework per domain (customer, product, counterparty).

Master Data Management. Customer master с UBO chains, product catalog, counterparty с AML profile.

Identity resolution. Banking-specific challenges: joint accounts, corporate hierarchies, KYC variations.

Data governance. Stewardship per domain, data contracts, audit, lineage.

Consent architecture. Purpose taxonomy, granular consent, biometric special handling per cbu.uz.

Data partnerships через clean rooms — для cross-product / cross-bank insights.

Regulatory compliance — data residency, retention, deletion.

Где мы помогаем

Data Maturity Assessment — 4 недели.

MDM Programme — 12-18 месяцев.

Data Quality Routine — встроиться в weekly per-domain review.

Consent Framework Design.

Data Strategy 5-year roadmap.

Что мы привносим

Banking domain expertise — UBO, joint accounts, complex hierarchies.

Regulatory knowledge — cbu.uz data expectations.

Cross-functional bridge между business owners и technical teams.

Связанное

• /architecture/banking-cdp-architecture/ — CDP
• /architecture/banking-master-data-management/ — MDM
• /architecture/banking-consent-architecture/ — consent
• /insights/banking-data-quality/ — data quality