Unify fragmented banking and insurance data using Databricks-powered lakehouse architecture to improve risk visibility, regulatory reporting, and customer insight.
Most banks and insurers operate with data spread across dozens of disconnected systems. The challenge is not a lack of data — it is the inability to unify, govern and act on it in real time.
Core platforms across banking and insurance operate in isolation, preventing a unified view of customers, risk and performance.
Data teams spend disproportionate time extracting, reconciling and formatting regulatory reports instead of driving strategic insight.
Risk and compliance teams lack a unified, real-time view of exposure across portfolios, counterparties and operational processes.
Departments spend significant effort manually reconciling data across systems, diverting skilled resources from higher-value analytics work.
Customer information sits across CRM, policy, claims and transaction systems, preventing a single view of the customer relationship.
Outdated analytics infrastructure cannot support the advanced ML and AI capabilities required to remain competitive in financial services.
Data fragmentation in financial services is not merely a technical inconvenience. It compounds across risk, compliance, customer and operational functions, eroding the ability of financial leaders to act decisively.
When transaction monitoring, credit risk and fraud data sit in separate systems, emerging threats go undetected for longer. Delayed detection increases financial exposure and regulatory scrutiny.
Regulatory demands around capital adequacy, AML and conduct reporting are increasingly difficult to satisfy with legacy tooling. Manual processes introduce risk of errors, delays and audit findings.
Without a unified customer view, financial institutions deliver inconsistent experiences across channels. Cross-sell opportunities are missed, and customer retention suffers from poorly coordinated interactions.
Financial organisations that cannot model risk or predict market shifts in real time are forced into reactive decision-making. This leads to missed opportunities, unplanned exposure and reduced competitive positioning.
Transatlantix designs secure lakehouse architectures enabling real-time analytics, ML models and governance across banking and insurance operations.
Deploy real-time fraud detection and risk scoring models across transactions, claims and customer activity.
Unify customer data across banking, insurance and wealth management to deliver personalised experiences and improve retention.
Automate regulatory, compliance and board-level reporting to reduce manual overhead and improve accuracy.
Establish clear data ownership, access controls and audit trails aligned with FCA, PRA and GDPR requirements.
Deploy machine learning models for credit scoring, claims prediction, churn forecasting and portfolio optimisation.
Consolidate fragmented data warehouses and legacy platforms into a single, governed lakehouse architecture.
Faster
Compliance reporting
Improved
Fraud detection
Reduced
Infrastructure complexity
Better
Customer intelligence
A financial institution modernised fragmented data systems using Databricks lakehouse architecture, enabling unified analytics, automated regulatory reporting, and improved fraud monitoring.
Transatlantix designed and implemented a unified data platform consolidating data from core banking, insurance policy management, claims processing and CRM systems into a single governed environment. The engagement included deploying real-time risk dashboards, automated compliance reporting and ML-powered fraud detection models.
The results enabled the institution to move from reactive to predictive operations, with measurable improvements across key performance indicators.
View Full Case StudyImproved Fraud Detection Capability
Real-time transaction monitoring and ML-powered anomaly detection across all channels.
Reduced Reporting Cycle Time
Regulatory and compliance reports generated in hours rather than weeks.
Improved Operational Visibility
Consolidated dashboards providing real-time insight across banking and insurance operations.
Deep experience in financial services data transformation, with an understanding of the risk, compliance and operational challenges specific to banks, insurers and financial institutions.
Advanced lakehouse architecture design and optimisation, ensuring financial organisations extract maximum value from the Databricks platform.
Every implementation is designed with security, compliance and scalability as foundational requirements — aligned with FCA, PRA and GDPR standards.
Focused on operational impact, not just technology. Every engagement is structured around quantifiable improvements in risk management, compliance efficiency and customer intelligence.
Book a 30-minute consultation to evaluate your financial data architecture and identify high-impact opportunities.