Public Sector — Regulatory Document Data Extraction Pipeline

Overview

The purpose of this DAG is to streamline the extraction of critical data from regulatory documents, such as PDFs and DOCX files, using Intelligent Document Processing (IDP) techniques. The primary data sources include regulatory filings, compliance reports, and policy documents, which are ingested into the system for processing. The ingestion pipeline initiates with the extraction of text and structured data from these documents, followed by a validation phase to ensure that the data meets prede

The purpose of this DAG is to streamline the extraction of critical data from regulatory documents, such as PDFs and DOCX files, using Intelligent Document Processing (IDP) techniques. The primary data sources include regulatory filings, compliance reports, and policy documents, which are ingested into the system for processing. The ingestion pipeline initiates with the extraction of text and structured data from these documents, followed by a validation phase to ensure that the data meets predefined quality standards. This validation process incorporates checks for accuracy and completeness, ensuring that only high-quality data is stored. Once validated, the extracted data is securely stored in a centralized database, making it easy to query and retrieve. The outputs of this DAG are accessible via a RESTful API, allowing integration with other systems and applications within the public sector. Monitoring key performance indicators (KPIs) such as extraction accuracy, processing time, and data quality metrics is crucial for maintaining operational efficiency and compliance standards. This automated solution not only reduces manual effort and errors but also enhances the speed at which regulatory data can be processed and utilized, ultimately driving better governance and compliance outcomes for public sector organizations.

Part of the Governance & Compliance solution for the Public Sector industry.

Use cases

• Increased efficiency in handling regulatory data
• Enhanced compliance with regulatory requirements
• Reduced manual errors in data extraction processes
• Faster access to critical compliance information
• Improved decision-making through timely data availability