Banking — Financial Data Governance and Lineage Management

Free

This DAG establishes governance mechanisms for financial data compliance and lineage tracking. It ensures data integrity through regular audits and role-based access controls.

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Overview

The Financial Data Governance and Lineage Management DAG is designed to implement robust governance mechanisms that ensure compliance with financial data regulations. Its primary purpose is to create a comprehensive lineage for each data source, facilitating traceability and accountability. The data ingestion pipeline begins with the collection of financial transaction logs, regulatory compliance documents, and user access records. These inputs are processed to establish a clear lineage, which m

The Financial Data Governance and Lineage Management DAG is designed to implement robust governance mechanisms that ensure compliance with financial data regulations. Its primary purpose is to create a comprehensive lineage for each data source, facilitating traceability and accountability. The data ingestion pipeline begins with the collection of financial transaction logs, regulatory compliance documents, and user access records. These inputs are processed to establish a clear lineage, which maps the flow of data from its origin to its final destination. Role-Based Access Control (RBAC) is applied to ensure that only authorized personnel can access sensitive financial data, thereby enhancing security and compliance. Regular audits are conducted to verify the integrity of the data, and key performance indicators (KPIs) such as the number of audits completed and response times to compliance requests are monitored. In case of any anomalies detected during audits, detailed reports are generated for further analysis. The outputs of this DAG include compliance audit reports, lineage documentation, and access control logs. By implementing this DAG, organizations can significantly reduce the risk of data breaches, enhance regulatory compliance, and improve overall data management practices, ultimately leading to increased trust and reliability in financial reporting.

Part of the Data & Model Catalog solution for the Banking industry.

Use cases

  • Enhanced compliance with financial regulations
  • Improved data integrity and reliability
  • Reduced risk of data breaches and fraud
  • Streamlined audit processes and reporting
  • Increased trust from stakeholders and regulators

Technical Specifications

Inputs

  • Financial transaction logs
  • Regulatory compliance documents
  • User access records
  • Audit trail logs
  • Data quality metrics

Outputs

  • Compliance audit reports
  • Data lineage documentation
  • Access control logs
  • Anomaly detection reports
  • KPI monitoring dashboards

Processing Steps

  1. 1. Collect financial transaction logs
  2. 2. Gather regulatory compliance documents
  3. 3. Implement Role-Based Access Control
  4. 4. Conduct data integrity audits
  5. 5. Generate lineage mapping
  6. 6. Create compliance reports
  7. 7. Monitor KPIs and anomalies

Additional Information

DAG ID

WK-0075

Last Updated

2025-04-12

Downloads

8

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