Capgemini-改进KYC数据采集_一种战略性数据交换模型（英）-2025_8页_1mb

Improving KYC Data Acquisition: A Strategic Data Exchange Model Summary

This report analyzes challenges in KYC data acquisition and introduces a strategic data exchange model to enhance efficiency, compliance, and cost-effectiveness. KYC processes are traditionally document-intensive, leading to inefficiencies and compliance fatigue due to manual data handling and redundant submissions across multiple institutions.

The proposed model leverages data aggregators and a proof-of-work mechanism to create a collaborative, incentive-driven system where corporate clients provide verified data, earning credits that offset future costs and improve data accuracy. Unlike blockchain-based approaches, this model avoids fragmentations in regulatory acceptance, high infrastructure costs, and privacy conflicts.

Key benefits include reduced operational costs for banks, minimized KYC fatigue for companies, and industry-wide standardization through data sharing. Implementation involves defining scope, validating data, and monitoring cost savings. However, the model faces limitations due to varying regulatory environments, such as data protection laws, and requires careful adaptation to regional contexts.

Regulatory compliance is ensured through data privacy measures and clear accountability frameworks. Overall, this approach offers a scalable solution for optimizing KYC processes in the financial sector.