The Media Search module allows for the use of digital sources to generate information on a particular topic, whether it's a potential customer, supplier, employee, etc. Any information sources such as Google, web media, special sources (e.g. LexisNexis, OpenCorporate, public registers, etc.) are searched through the Media Search module.

With this module, client master data can be checked for potential risks during the opening process or later during modifications and periodic checks. The name-checking function of the “Filter Client Master”compares the contents of any risk person database with the names to be checked. They can be simply and quickly extended with the rule designer.

With this module, suspicious incoming and outgoing transactions can be stopped before posting. The Analytical Engine DetectX® – the core of the Prospero predictive analytics module – achieves high-precision hits. False alerts, i.e. alleged hits that turn out to be unjustified following manual analysis, are thereby reduced.

Digital Identity is a further module in addition to Dynamic Profiling and the Behavioural Analysis modules, which are mainly based on the analytical processing of transaction and customer master data. The module Digital Identity analyses information and behavioural patterns of customers from web and mobile application, as well as from information from the devices of end-user via all digital channels, such as mobile phone, mouse, keyboard, gyroscope, etc..

Prospero's Behavioural Analysis module is an advanced solution that uses self-learning algorithms from the fields of machine intelligence and evolutionary learning to analyse financial intermediaries' clients' behaviour. The module creates intermediary-specific models that respect each customer's individuality while optimising and validating in a fully automated manner.

The Dynamic Profiling module is a central component of the DetectX® predictive analytics platform. The Dynamic Profiling module calculates various KPIs and KRIs for each customer in order to create a 360-degree view of the customer. This information is used to create time series data that is used for ongoing customer profiling and classification.