An Enterprise Data Quality Program: An Operating Framework
Data quality is not a one-off project; it is a programme of measurement, ownership, thresholds and escalation. The framework that makes it operational.
Data quality is not a one-off project; it is a programme of measurement, ownership, thresholds and escalation. The framework that makes it operational.
What does analytics mean inside a modern bank? A practical 2026 reference covering layers, regulation, lakehouse, real-time and AI patterns.
In March 2026 the KVKK Board issued comprehensive guidance on AI applications. Alignment with the EU AI Act, explicit consent, automated decision-making and a practical LLM checklist.
PSD3 is maturing in Europe, Türkiye’s Open Banking is in its second year, Azerbaijan has published its own framework. The decisions banks must make on APIs, consent and real-time payments.
How do you safely use production data in test environments? Static masking, dynamic masking, pseudonymization and synthetic data compared with recommendations for each scenario.
A governance framework built on policies, roles and metrics delivers measurable trust in enterprise data within six months. Here is the roadmap we follow with our clients.
Data warehouse projects in banking succeed more through architectural discipline than technology choice. Five decision areas that decide the outcome, distilled from BIART's large-bank engagements.
BDDK, EPDK, SPK and KVKK regulations shape a cloud strategy in Türkiye that looks different from global playbooks — the sovereignty dynamics explained.