Case Studies > Global financial services leader extracts financial information from PDFs with 99% accuracy

Global financial services leader extracts financial information from PDFs with 99% accuracy

Company Size
1,000+
Product
  • Snorkel Flow
Tech Stack
  • AI-powered financial spreading application
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Data Mining
  • Analytics & Modeling - Machine Learning
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Business Operation
Services
  • Software Design & Engineering Services
About The Customer
The customer is a global financial services leader, known for its extensive range of financial products and services. This organization operates on a large scale, serving millions of clients worldwide, including individuals, businesses, and institutions. The company is committed to leveraging advanced technologies to enhance its operations and deliver superior services to its clients. With a focus on innovation, the financial services leader continuously seeks to improve its processes, particularly in areas that involve large volumes of data and require high precision, such as financial data extraction and analysis.
The Challenge
The bank needed to extract structured financial data from balance sheets and income statements (hOCR PDF) from private company financials. This task was challenging due to the unstructured nature of the data and the need for high accuracy in financial reporting. Traditional methods, such as manual data entry or rules-based systems, were time-consuming and prone to errors. The bank required a solution that could automate the extraction process, improve accuracy, and handle the variability in document formats and data presentation.
The Solution
The bank implemented Snorkel Flow to develop an AI-powered financial spreading application. This application was designed to parse both textual and spatial/visual data features from financial documents. By leveraging machine learning and data mining techniques, the application could accurately extract structured financial data from unstructured documents. The use of Snorkel Flow allowed the bank to automate the data extraction process, significantly reducing the time and effort required for manual data entry. The AI-powered solution also provided greater generalizability, enabling the bank to handle a wider variety of document formats and data presentations with high accuracy.
Operational Impact
  • The implementation of Snorkel Flow led to superior performance in data extraction tasks, with the AI-powered application achieving 99% accuracy in extracting financial information from PDFs.
  • The solution provided greater generalizability, with 2x coverage compared to a purely rules-based approach. This means the application could handle a wider variety of document formats and data presentations effectively.
  • The AI-powered financial spreading application was 45x faster compared to hand-labeling, significantly improving the efficiency of the data extraction process.
  • The bank was able to automate the extraction of structured financial data from unstructured documents, reducing the need for manual data entry and minimizing errors.
  • The use of advanced machine learning and data mining techniques allowed the bank to enhance its digital expertise and improve its overall productivity.
Quantitative Benefit
  • 2x coverage compared to rules-based approach
  • 99% extraction accuracy
  • 45x faster compared to hand-labeling

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