SAS Financial Crimes Analytics Integrations

Utilize AI, machine learning, intelligent automation, and advanced network visualization techniques to combat money laundering and terrorist financing. By proactively adapting to changing risks and regulatory requirements, SAS® has enabled financial institutions to achieve model accuracy exceeding 90%, reduce false positives by up to 80%, and increase SAR conversion rates by fourfold. The technology's ability to swiftly detect complex and emerging threats linked to money laundering and terrorist financing is enhanced by automated network and entity generation processes that produce network diagrams revealing hidden relationships. Moreover, advanced analytics streamline entity resolution by cross-referencing diverse data sources associated with a customer, correcting inconsistencies, addressing errors, and reconciling fragmented records to determine whether they refer to the same entity. Additionally, AML investigators are equipped with a flexible, intuitive alert and case management system that offers self-service capabilities, significantly improving workflow efficiency and productivity. This comprehensive strategy empowers financial institutions not only to maintain compliance but also to proactively confront future challenges, ensuring they remain resilient in an ever-evolving landscape. Ultimately, this positions them to better safeguard against financial crimes while enhancing their operational effectiveness.