Enabling AML Readiness with Smart Data Governance​
About the Client
A legacy-rich financial institution in the Middle East , valued at approximately $8 billion , known for its digital innovation and regulatory leadership across the region.
Business Requirements
To strengthen its Anti-Money Laundering (AML) systems, the organization needed to embed robust data governance and quality control mechanisms across its data landscape. The primary goal was to ensure transparency, audit-readiness, and compliance with regulatory requirements. Key challenges included:
- Creating Data Quality (DQ) reports for cataloged sources, assets, and elements used in AML checks.
- Establishing end-to-end data lineage for Critical Data Elements (CDEs) within the AML detection system.
- Preparing standard operating procedures (SOPs) and policy documents for managing AXON EDC operations.
- Integrating AXON EDC with a HIVE-based cloud data lake, ensuring seamless interoperability
- Encouraging a data governance-driven culture across business and IT, aligning roles and responsibilities among data producers, owners, and stewards.
Our Solution
To enable audit-ready AML data flows and promote enterprise data accountability, a focused data governance solution was implemented.
- Generated Data Quality reports using SQL-based rule execution and published them via Power BI.
- Built manual data lineage by mapping key AML elements using AXON EDC custom connections.
- Documented operational processes, including user creation, runbooks, and password rotation policies.
- Worked with HIVE teams to integrate AXON with the cloud data lake environment.
- Collaborated with data producers across central and business IT to understand systems, domains, and data assets.
Business Outcomes
- Enabled real-time visibility into AML-critical data assets and their quality status.
- Improved audit readiness by establishing traceable data lineage and documented processes.
- Helped data owners and stewards identify and fix issues quickly through DQ reporting.
- Strengthened data governance culture through cross-functional collaboration and clear role alignment.
- Enhanced data accessibility and interoperability across platforms and departments.
- Supported compliance teams with transparent reporting and platform governance.
- Laid the foundation for scalable, future-ready data management in AML systems.
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