Public Sector — Regulatory Data Audit and Traceability Workflow

Overview

The purpose of this DAG is to facilitate the audit and traceability of regulatory data within the public sector, ensuring compliance and integrity. It ingests data from various sources, including regulatory databases, compliance logs, and transaction records, and enriches it with metadata for traceability. The ingestion pipeline captures these data points and stores them in a centralized repository. Processing steps include data validation, where a rigorous validation process checks for data int

The purpose of this DAG is to facilitate the audit and traceability of regulatory data within the public sector, ensuring compliance and integrity. It ingests data from various sources, including regulatory databases, compliance logs, and transaction records, and enriches it with metadata for traceability. The ingestion pipeline captures these data points and stores them in a centralized repository. Processing steps include data validation, where a rigorous validation process checks for data integrity and completeness, followed by transformation to standardize formats and enhance usability. Quality controls are implemented to ensure that only accurate and compliant data is reported. The final outputs include detailed audit reports and compliance dashboards that are accessible to auditors and regulatory bodies. Monitoring KPIs, such as the time taken to generate audit reports and the accuracy of data entries, are tracked to ensure ongoing performance and reliability. This workflow adds significant business value by enhancing regulatory compliance, improving data governance, and providing transparency in data handling.

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

Use cases

• Improves regulatory compliance and reduces risk of penalties
• Enhances transparency in data handling for stakeholders
• Streamlines audit processes, saving time and resources
• Facilitates better decision-making through accurate data insights
• Strengthens data governance and accountability within the organization