ESG Data Structuring Using Auxiliary Tool and Management Items
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Solution Overview
Problem
Existing ESG documents are predominantly unstructured, making it difficult to utilize the accumulated data effectively for analysis and processing from a big data perspective, as they are typically published in PDF format and lack a standardized format for efficient storage and management.
Innovation Solution
An ESG auxiliary tool and service providing system that parses and structures ESG data into a standardized format by identifying and converting unstructured data into structured data using an ESG management item database, allowing for efficient storage and management of ESG data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If ESG data is stored in unstructured PDF format, then document preservation and readability are maintained, but data utilization for analysis and processing becomes difficult
Solution Approach 1:
The patent introduces an auxiliary tool as an intermediary component that sits between the unstructured ESG documents and the structured database. This auxiliary tool automatically extracts data from PDFs and transforms them into structured formats, eliminating the need for complex manual processing while maintaining data integrity and enabling efficient analysis.
2Productivity
If manual processing of ESG documents is used, then data accuracy can be controlled, but productivity and automation capability are limited
Solution Approach 1:
The auxiliary tool performs self-service by automatically extracting and structuring ESG data from PDF documents without requiring manual intervention. The system autonomously processes documents, identifies relevant information, and transforms them into structured database entries, achieving both high productivity and full automation capability.
3Quantity of substance
If ESG data is accumulated in unstructured format, then data volume increases, but ability to utilize data for big data analysis decreases
Solution Approach 1:
The patent extracts valuable information from the bulk of unstructured ESG documents by using the auxiliary tool to identify and pull out key data points. This extraction process transforms the庞大的 unstructured data volume into a manageable structured format, enabling efficient big data analysis while preserving the quantity of information.
Data Source
AI summary
The present disclosure relates to a method for establishing an ESG database including: parsing an ESG document subject to structuring; screening whether the parsed ESG document includes items corresponding to at least one of the pre-stored plurality of ESG management items; specifying a selection status for items in the ESG document based on whether an item corresponding to the ESG management item is included in the document; activating or deactivating input fields for final input field values for the pre-stored plurality of ESG management items according to the designation result of the selection status; and generating structured data by obtaining the content of items corresponding to ESG management items determined to be included in the document, and an ESG service providing system performing the same.