Part I - Building a Dynamic Customer Profile using MongoDB

In the exploration of building a Financial Crime Mitigation Platform using MongoDB, the focus is on the customer onboarding process, which involves capturing and dynamically updating customer data to comply with Know-Your-Customer (KYC) regulations and segment customers for commercial purposes. MongoDB's flexible data model enables seamless aggregation of data from various sources, facilitating advanced search capabilities, including hybrid searches and network graph creation through its aggregation pipeline. This system assists in accurately identifying entities and their relationships, crucial for compliance checks and financial crime mitigation. The ultimate goal is to consolidate these data points into a single, dynamic customer profile, leveraging MongoDB's ability to handle both structured and unstructured data, which enhances the ability to conduct similarity searches and cluster customer profiles effectively. The platform's capabilities set the stage for further exploration into how artificial intelligence can improve due diligence processes by analyzing customer behavioral profiles.