ANTI-MONEY LAUNDERING (AML), KYC AND DFS 504
Data Flow
Part of the process of being compliant with regulations around anti-money laundering requires an organisation to have a clear understanding of how data flows through their business and being able to detect anomalies and unusual processes. This entails end-to-end pre- and post-implementation testing, validation, data mapping, model efficiency, data input/output metrics and details of the system’s design.
All the assumptions must be fully documented and such documentation regularly updated. As anti-money laundering data is typically extracted from multiple sources, often in multiple formats, Solidatus is the ideal tool to bring together all the siloed lineage information into one central place. Solidatus rapidly imports captured lineage from ETL & Governance applications, it can ingest scanned metadata models and excel documents, all information can also be entered manually and enriched with further metadata. Dynamic display rules can be added to show toxic combinations, the models and a complete audit trail can be shared with the senior management and the regulator. Additionally, the models can be forked to allow a ‘what if analysis’ to illustrate how changes to the data structure(s) might affect the organisation as it flows across sets of co-operating services or systems.
