SAS Anti-Money Laundering Integrations

Easily import or retrieve your data from Hadoop and data lakes, ensuring it's ready for report generation, visualizations, or in-depth analytics—all within the data lakes framework. This efficient method enables you to organize, transform, and access data housed in Hadoop or data lakes through a straightforward web interface, significantly reducing the necessity for extensive training. Specifically crafted for managing big data within Hadoop and data lakes, this solution stands apart from traditional IT tools. It facilitates the bundling of multiple commands to be executed either simultaneously or in a sequence, boosting overall workflow efficiency. Moreover, you can automate and schedule these commands using the public API provided, enhancing operational capabilities. The platform also fosters collaboration and security by allowing the sharing of commands among users. Additionally, these commands can be executed from SAS Data Integration Studio, effectively connecting technical and non-technical users. Not only does it include built-in commands for various functions like casing, gender and pattern analysis, field extraction, match-merge, and cluster-survive processes, but it also ensures optimal performance by executing profiling tasks in parallel on the Hadoop cluster, which enables the smooth management of large datasets. This all-encompassing solution significantly changes your data interaction experience, rendering it more user-friendly and manageable than ever before, while also offering insights that can drive better decision-making.

Integrating master data management solutions with SAS 9.4 allows SAS MDM to function through a web-based interface that can be accessed via the SAS Data Management Console. This integration ensures that organizations have a unified and accurate view of their data by merging information from various sources into a single master record. Furthermore, the capabilities of SAS® Data Remediation and SAS® Task Manager complement SAS MDM and enhance other SAS offerings, such as SAS® Data Management and SAS® Data Quality. SAS Data Remediation empowers users to identify and resolve issues that arise from business rules in both batch processes and real-time scenarios within SAS MDM. On the other hand, SAS Task Manager acts as an effective tool that integrates effortlessly with SAS Workflow technologies, enabling users to oversee workflows triggered by different SAS applications with convenience. By facilitating the initiation, completion, and modification of workflows submitted to the SAS Workflow server, this unified ecosystem allows organizations to uphold effective data management strategies. Ultimately, the combination of these technologies establishes a strong foundation for the proficient management of master data, ensuring that organizational data remains accurate and reliable.

SAS Financial Crimes Analytics serves as a cloud-driven platform aimed at bolstering Anti-Money Laundering (AML) efforts by utilizing artificial intelligence and machine learning to streamline compliance operations. This groundbreaking solution enables financial organizations to more efficiently detect and prevent financial crimes while reducing the occurrence of false positives, automating investigations, and improving overall detection efficacy. Users benefit from features that facilitate data exploration and visualization, allowing for easy importing, transforming, and integrating of data through a user-friendly drag-and-drop interface. Moreover, it accelerates the deployment of analytical models via automated processes, making it suitable for both batch processing and real-time applications. The system integrates effortlessly with existing transaction monitoring frameworks, eliminating the need for major revisions to current AML systems. In addition, it harnesses sophisticated analytical tools, including network and text analytics, to deliver a thorough understanding of risk factors, enabling institutions to stay responsive to the changing dynamics of financial crime threats. This comprehensive strategy not only enhances compliance measures but also fortifies the institution’s overarching risk management framework, ensuring better protection against emerging risks. Ultimately, SAS Financial Crimes Analytics represents a pivotal advancement in the fight against financial crime, equipping institutions with the necessary tools to navigate an increasingly complex environment.