Banking — Regulatory Document Ingestion Pipeline for Knowledge Management

Overview

The primary purpose of this DAG is to ingest regulatory corpus documents from various sources, including ERP systems, CRM platforms, and internal databases, to support the Knowledge Portal and Ontologies in the banking industry. The ingestion pipeline begins by extracting data from these sources, followed by a normalization process that standardizes the data to ensure its quality and compliance with regulatory standards. The processing steps include validation tests and security checks to mainta

The primary purpose of this DAG is to ingest regulatory corpus documents from various sources, including ERP systems, CRM platforms, and internal databases, to support the Knowledge Portal and Ontologies in the banking industry. The ingestion pipeline begins by extracting data from these sources, followed by a normalization process that standardizes the data to ensure its quality and compliance with regulatory standards. The processing steps include validation tests and security checks to maintain data integrity and safeguard sensitive information. Quality control measures are integral to the workflow, ensuring that only accurate and compliant data is stored. The processed data is then stored in a data warehouse, making it readily accessible for future analysis and reporting. In case of any failures during the ingestion process, a robust recovery mechanism is implemented to minimize disruptions. Monitoring key performance indicators (KPIs) such as data accuracy, processing time, and compliance rates allows for continuous improvement of the workflow. The business value of this DAG lies in its ability to streamline the ingestion of critical regulatory documents, enabling faster access to vital information and supporting compliance efforts, ultimately enhancing operational efficiency and decision-making capabilities within the banking sector.

Part of the Knowledge Portal & Ontologies solution for the Banking industry.

Use cases

• Enhances regulatory compliance through consistent data ingestion
• Improves decision-making with rapid access to critical documents
• Reduces operational risks associated with data quality issues
• Facilitates better knowledge management and ontology development
• Streamlines workflows, increasing overall efficiency in banking operations