Original article link: Towards AI
One-sentence Explanation
This is a technical solution for building an analysis system for processing U.S. SEC EDGAR public financial data by combining CocoIndex and Apache Doris.
Popular Understanding
It can be compared to: when you need to organize massive amounts of corporate financial report data, CocoIndex helps you quickly find and extract the required financial information, while Apache Doris acts as an efficient organizing warehouse that can quickly sort out the extracted data, allowing you to complete financial analysis without spending a lot of time manually organizing.
Applicable Scenarios
- Financial analysts need to batch analyze the financial status of multiple listed companies
- Corporate finance staff need to benchmark financial data of industry competitors
- Academic researchers need to conduct industry research based on public financial data
Related Concepts
- SEC EDGAR: The public financial database of the U.S. Securities and Exchange Commission, which contains financial declaration documents of enterprises across the United States
- Apache Doris: An open-source real-time analytical database that excels in large-scale data analysis
- CocoIndex: A tool for structured extraction of unstructured financial documents