Use of Data Science Technology to Combat Financial Crime

Data Science Technology: This article explains how the use of data science can significantly reduce ‘back-office’ and ‘front-office’l costs whilst improving operational compliance efficiency.

Because regulatory technology reports at the click of a button, the savings on human resourcing are immense.

Using machine learning and algorithms, Regulatory Technology can provide instant reporting for ‘back office’ and ‘front office’ functions.  A simple point and click interaction to achieve comprehensive compliance reporting increases business productivity.

Regulatory Technology Check Lists

When customising a solution, the first step is to ensure the data source has relevancy.  The second step is to confirm the data source integrity, and the third step is to ensure data reporting adequacy.

AML360 utilises data science and the application of the regulatory risk-based approach to deliver anti-money laundering compliance solutions.

AML/CFT Cost Efficiency

Updates to technology configurations can be undertaken in an instant and align to regulatory standards. Not only does AML360 provide cost savings, but your business will execute a consistency of better outcomes.

Transferring Knowledge

AML360 regulatory technology allows any person to receive expert knowledge at their fingertips.

Performing like an AML/CFT compliance professional, the application of data relevancy, measurement and reporting are automatically displayed in attractive reports.