A normalized, governed financial data foundation engineered for scale, compliance, and advanced analytics.
AI-integrated lakehouse architecture for transaction processing and regulatory normalization.
Ingestion: Multi-source streaming and batch ingestion from ERP, CRM, core banking.
Processing: ETL/ELT validation, reconciliation, transformation.
Normalized Model: Canonical schema for transactions, balances, exposures.
Lakehouse Storage: Optimized structured storage for analytics & ML.
AI Layer: Governed LLM access for explainable insights.
Regional subsidiaries feed standardized transaction data. Currency normalization and entity mapping consolidate balance sheets centrally with AI anomaly detection.
Outcome: Improved reconciliation accuracy and compliance readiness.