NOSTRO Account Reconciliation

DataFuze automates NOSTRO account reconciliation by seamlessly integrating with SWIFT to receive MT940 and MT950 messages, matching transactions with internal records, identifying discrepancies, and notifying exceptions to relevant workflow management for timely resolution.

Statutory Body Consolidator (SBC)

SBC is a centralized system that automates the processing of statutory body payments. It consolidates data from various sources, transforms it into required formats, and submits it to relevant authorities. The system also provides a user-friendly web interface for monitoring and managing the process.

Data Quality Management Framework (DQMF)

DQMF is a system that automates processing transactions from various lineage systems. It identifies and resolves data discrepancies, ensures data accuracy and consistency, and improves overall data quality. This leads to better decision-making and reduced operational risks.

Financial Regulatory Reporting (FRR)

Our FRR solution simplifies the complex process of fund regulatory reporting, ensuring timely and accurate submission of financial reports to regulatory authorities. By automating report generation, validating data, and adhering to regulatory standards, this solution minimizes risks and enhances compliance.

Fraud Monitoring & Detection

Our advanced Fraud Monitoring and Detection system is designed to safeguard your financial transactions and protect your organization from potential fraud and financial crime. By employing cutting-edge technologies and robust processes, we provide comprehensive protection against a wide range of threats.

Trustee Digitization

Our Trustee Digitization solution revolutionizes traditional trustee management processes, transforming them into efficient digital workflows. By automating tasks, streamlining operations, and enhancing compliance, this solution empowers trustees to focus on strategic initiatives while ensuring regulatory adherence.

Data Reconciliation

Data Reconciliation simplifies the process of comparing and matching data from multiple systems to ensure accuracy, consistency, and reliability. It automates error detection and resolution, reducing manual effort and enhancing data integrity.