Data discipline for the bank
Banking data quality, MDM, governance, consent. Foundation for CDP, AI, customer 360.
ОбсудитьWhat we know about banking data
Banking data — highly sensitive (financial PII), highly regulated (cbu.uz, AML, data protection law), and historically fragmented (ABS + product silos + legacy DWH).
Our expertise:
Data quality framework per domain (customer, product, counterparty).
Master Data Management. Customer master with UBO chains, product catalogue, counterparty with 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 via clean rooms — for cross-product / cross-bank insights.
Regulatory compliance — data residency, retention, deletion.
Where we help
Data Maturity Assessment — 4 weeks.
MDM Programme — 12-18 months.
Data Quality Routine — embed into weekly per-domain review.
Consent Framework Design.
Data Strategy 5-year roadmap.
What we bring
Banking domain expertise — UBO, joint accounts, complex hierarchies.
Regulatory knowledge — cbu.uz data expectations.
Cross-functional bridge between business owners and technical teams.
Related
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