Capgemini-改进KYC数据采集：一种战略性数据交换模型（英）

Improving KYC data acquisition: A strategic data exchange modelKnow your customer (KYC) has traditionally been a highly document-driven process, requiring corporations to submit extensive paperwork to multiple financial institutions. However, with changing technology and regulatory expectations and the need for greater efficiency, the industry is leaning towards a data-driven model. In this new paradigm, real-time, structured, and validated data plays a critical role in enhancing compliance, reducing manual intervention, and improving operational efficiency.To obtain KYC data, corporate investment banks (CIBs) have two approaches. First, they can manually connect with multiple registries, regulatory bodies, and exchange websites to collect data. This is a laborious and inconsistent process that demands significant resources. Or an alternate method is to utilize premium data aggregators like Moody’s, D&B, Markit, Refinitiv, etc., which offer 70 to 80 percent of the KYC requirements from verified sources in a digestible format. By leveraging this approach, the need for direct data extraction from numerous sources is reduced significantly. This streamlines compliance efforts and improves data accuracy. At the same time, companies maintain 11 banking relationships on average and must provide at least 10 key documents per bank for compliance. This results in 100 to 200 KYC document requests annually, causing inefficiencies, duplication of effort, and compliance fatigue.This paper introduces a strategic data exchange model that is built on a proof-of-work mechanism, differentiating it from blockchain-based KYC models. In this new model, the client provides reliable data to the provider in case of any gaps, leveraging the CIB’s infrastructure and in turn earns incentive from the CIB. The CIB earns credit from the data provider, and the data provider benefits from reduced long-term data acquisition costs. In contrast to blockchain-based KYC models, which frequently struggle due to fragmented regulatory acceptance, the inability to support multi-jurisdictional compliance, and lack of standardized verification, this model provides a centralized but scalable approach.By implementing this model:• CIBs lower operational costs, improve KYC compliance, and reduce manual verification efforts.• Companies reduce KYC fatigue by minimizing redundant document submissions, leading to improved efficiency in banking relationships and they earn incentive for supplying information. • Data aggregators enrich datasets with direct corporate input, enhancing their value proposition and market competitiveness and reducing the cost of data acquisition. With the growing complexity of regulatory requirements and the rising cost of compliance, CIBs must adopt innovative, collaborative models to enhance efficiency. This data exchange framework presents a scalable, cost-effective solution that strengthens the financial ecosystem while positioning participating banks at the foref