Using AI to Unlock Korean Fund Data for Global Reporting

Client Overview

A global fund flow data provider delivers critical investment intelligence and reference datasets used by asset managers, financial institutions, and data platforms worldwide.

To maintain the accuracy and completeness of its global datasets, the organization required reliable extraction of reference data from Korean mutual fund prospectuses. However, the information was available only in Korean-language PDF documents, creating a significant operational and linguistic barrier.

With a strict two-month delivery timeline and high expectations for accuracy, the firm required a scalable solution that could overcome language constraints while maintaining data quality standards.

Problem Statement

The client faced several operational challenges in extracting reference data from Korean fund prospectuses:

• Required reference data for 15,721 Korean mutual fund share classes
• Source documents available only in Korean-language prospectus PDFs
• Tight two-month delivery timeline for data processing and delivery
• Manual extraction methods would require extensive language expertise and significant operational resources
• High risk of inconsistencies and errors due to complex multilingual document structures

These constraints created a need for a faster, technology-enabled approach to multilingual data extraction.

Solution Provided

Decimal Point Analytics implemented an AI-driven workflow designed to extract, translate, and structure Korean fund data efficiently.

Key elements of the solution included:

• Identification and validation of reliable repositories containing Korean fund prospectus documents
• Deployment of large language model (LLM) powered translation and structured data extraction from Korean-language PDFs
• Automated mapping of extracted data into standardized Excel datasets aligned with the client’s reporting framework
• Implementation of rules-based validation checks to detect inconsistencies and ensure data accuracy
• Continuous monitoring and proactive communication with the client to maintain transparency and delivery confidence

This approach enabled rapid extraction and structuring of complex multilingual financial data while maintaining enterprise-grade accuracy.

Outcome

The engagement delivered strong operational and strategic outcomes for the client:

• Accurate reference data delivered for 15,721 Korean mutual fund share classes
• Successful elimination of language barriers in data extraction workflows
• Significant reduction in manual effort and operational costs
• Consistent and standardized datasets ready for enterprise reporting
• Full delivery within the two-month timeline despite multilingual complexity
• Strengthened client confidence through reliable execution and transparent collaboration

Key Takeaway

For global data providers, language barriers should not limit access to critical financial information. AI-powered document processing can transform complex multilingual datasets into structured intelligence quickly and accurately, enabling organizations to scale global data coverage without expanding operational overhead.

Looking to unlock high-value data trapped in multilingual documents and complex formats?

Connect with Decimal Point Analytics to leverage AI-driven extraction, translation, and structuring for faster, scalable data intelligence.