The current onboarding process only takes into account the data provided by the customer and by official entities (e.g., credit scoring).
Goals and Objectives
The goal of this use case is to identify client-related risks during the onboarding process and client life cycle. This improves both risk management and regulatory compliance.
Real-time data analytics to analyze, new client applications and provide investment recommendations, AI/ML, Scenario modeling
Use Case Summary
Combining analysis of external data sources, particularly news analytics and social media, provides a more thorough view of the client and improves fraud detection.