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KYC
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Financial Crime Mitigation with MongoDB / Part I: Dynamic Customer Profile
This article is the first in a series on building a financial crime mitigation platform with MongoDB as a unified data platform, focusing on the customer onboarding stage. It outlines a three-step process: capturing prospective customer data into a dynamic profile, running candidate basic checks using hybrid search with the $rankFusion operator, and performing compliance verification via network graphs built with $graphLookup. MongoDB’s flexible data model aggregates structured and unstructured data from various sources, enabling a single customer view. The platform supports vectorized profile representations for similarity searches and clustering, all within one cluster without external search engines. The post concludes by noting that the next part will explore AI-enhanced due diligence processes.
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