Fraud is Growing and Evolving
We are aware that there is very little data sharing between businesses, and fraudsters are keen to exploit this frailty. We also know that fraudsters rely upon the services of corrupt enablers including lawyers, accountants etc. to provide a veneer of legitimacy to their dealings...
We are addressing a costly and time consuming industry challenge by building an innovative framework that streamlines the regulatory DDQ process, removing the need to work from paper-based and online documents.
Features
It is widely accepted that fundamental change is necessary. ALICE - this is where the magic happens. We provide Information updates and important message alerts in real time, utilising the secure Symphony network widely adopted by industry.
We can begin to improve communication across business sectors by breaking down silos and deploying information more intelligently.
Party Role-Based Classification (PRC) is a methodology for Smart Data Management, based on a segmentation process that allows you to understand your clients in more detail and, importantly, from different perspectives, depending on their role or roles. Parties that are active across multiple lines of business or markets can be very challenging to accurately classify; and without accurate classification, it is difficult to locate relevant data and make use of it properly, which can lead to confusion and the disruption of business-critical tasks. The segmentation thus shows parties with common characteristics when viewed from a particular perspective … through a certain lens.
In addition to grouping parties based on relationship and interaction, party roles can change over time; characteristics or attributes can change dramatically and quickly. Therefore it is vital that the timeliness of data is transparent for all entities.
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