Public Sector — Knowledge Taxonomy Creation for Regulatory Management

Overview

The primary purpose of this DAG is to create structured taxonomies that facilitate the management of regulatory knowledge within the public sector. By leveraging graph-based representations, the DAG enables organizations to efficiently navigate complex regulatory information. The data ingestion process begins with the collection of regulatory documents from diverse sources, including government databases, compliance reports, and legal publications. Once ingested, the data undergoes a rigorous va

The primary purpose of this DAG is to create structured taxonomies that facilitate the management of regulatory knowledge within the public sector. By leveraging graph-based representations, the DAG enables organizations to efficiently navigate complex regulatory information. The data ingestion process begins with the collection of regulatory documents from diverse sources, including government databases, compliance reports, and legal publications. Once ingested, the data undergoes a rigorous validation process to ensure accuracy and relevance, which is crucial for maintaining the integrity of the taxonomies being developed. After validation, the taxonomies are constructed and stored in a content management system, making them readily accessible to users across the organization. Key performance indicators (KPIs) such as query response times on the graphs are monitored to assess system efficiency and user satisfaction. The business value of this DAG lies in its ability to streamline regulatory compliance processes, reduce the time spent on information retrieval, and enhance decision-making capabilities for public sector entities. By providing a clear and organized framework for regulatory knowledge, organizations can improve their operational efficiency and ensure adherence to legal standards.

Part of the Market & Trading Intelligence solution for the Public Sector industry.

Use cases

• Improved regulatory compliance and risk management
• Enhanced efficiency in accessing regulatory information
• Streamlined knowledge management processes
• Informed decision-making through structured data
• Increased user satisfaction with fast query responses