Financial Document Intelligence System for Unstructured Data Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current financial and corporate document examination software lacks efficient and intuitive features for processing unstructured financial data, preventing users from gaining meaningful insights into financial and corporate documents, particularly in free form text or data tables specific to an industry or single company.
Innovation Solution
A financial document intelligence system that extracts tables from documents, converts them into dictionaries, and uses a row-based matching algorithm to create time series, allowing users to analyze similar financial data over time, facilitating the detection of changes and trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If current financial document examination software is used, then basic document processing is possible, but the software lacks efficient and intuitive features for processing unstructured financial data
Solution Approach 1:
The patent introduces an intermediary processing layer that includes natural language processing modules and data structure transformation components. This intermediary layer sits between the unstructured financial data input and the analysis functions, automatically converting free-form text and irregular data tables into standardized structures that the software can efficiently process, thereby improving ease of operation without requiring complex user-side processing
2Loss of information
If current tools are used, then basic data retrieval is possible, but users are prevented from gaining meaningful insights into financial data
Solution Approach 1:
The patent implements preliminary data processing and preprocessing steps that occur automatically before the user performs analysis. This includes pre-processing unstructured financial data into standardized formats, pre-identifying relevant data patterns and relationships, and pre-organizing data structures to facilitate rapid analysis. By performing these actions in advance, the system enables users to gain meaningful insights more efficiently without manual data preparation work
3Adaptability or versatility
If current software platforms are used, then document storage and basic viewing are possible, but the ability to process unstructured financial data into coherent structures is lacking
Solution Approach 1:
The patent employs parameter changes by dynamically adjusting data processing parameters based on the input data characteristics. The system automatically detects the structure and format of incoming financial data and adjusts processing parameters such as parsing rules, extraction patterns, and transformation methods accordingly. This allows the software to adapt to various unstructured data formats and convert them into coherent structures without requiring fundamentally different processing systems for each data type
Data Source
AI summary
A user is able to extract financial data, particularly tables, from a document. The table is stored and the user can compare the data in this table with data from similar tables from previous documents. The user can see how financial data has changed historically by looking only at financial tables from the same type of document, for example, only balance sheet tables from annual reports for a specific public company, over many years, and see how the values have changed or whether any new categories or types of data have been added or deleted. From the time series of financial data, the user can gain real intelligence into an entity's financial health.