Intelligent Financial Data Processing
A Bulgaria-based financial data provider faced critical gaps in financial data coverage, with 40% of valuable information trapped in poor-quality documents. We helped build the region’s largest comprehensive financial database, transforming a month-long process into weeks by successfully processing over 500,000 multilingual financial statements while maintaining 95% data quality standards across previously inaccessible data
Key Outcomes
Information coverage
Accuracy
Language covered
Documents processed per day
Challenges & Solutions
Challenges
Poor quality PDFs affected data extraction accuracy and efficiency
Critical financial information was scattered across various statement types with diverse data representations - varying formats, different terminology for same metrics across statements.
Missing data points required manual derivation and adjustments of values
Solutions
Implemented advanced document processing capabilities to handle low-quality documents effectively while maintaining 95% data quality standards
Developed an intelligent mapping system that standardizes diverse data representations and consolidates information from multiple financial statement formats through rule-based extraction.
Created automated value derivation and adjustment mechanisms to handle information deficits while ensuring data accuracy and consistency
Our Approach
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01
Advanced Data Extraction Intelligent processing of financial data from multiple sources and formats, handling poor-quality PDFs and fragmented information seamlessly.
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02
Standardized Processing Autonomous standardization of diverse financial documents, with intelligent mapping of financial terms for contextual alignment.
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03
Automated Generation Smart processing and generation of key financial ratios, crating standardized outputs ready for credit database systems.