Banking — Data Processing Compliance Audit Workflow
FreeThis DAG ensures data processing compliance with regulations by generating detailed audit reports. It facilitates traceability and alerts compliance officers of any anomalies.
Overview
The primary purpose of the finance_km1_conformite_audit DAG is to verify that data processing activities adhere to current regulatory standards in the banking industry. The workflow begins with the ingestion of various data sources, including transaction logs, compliance checklists, and regulatory guidelines. These inputs are systematically processed to assess compliance levels and identify any discrepancies. The processing steps involve data validation, compliance checks against predefined regu
The primary purpose of the finance_km1_conformite_audit DAG is to verify that data processing activities adhere to current regulatory standards in the banking industry. The workflow begins with the ingestion of various data sources, including transaction logs, compliance checklists, and regulatory guidelines. These inputs are systematically processed to assess compliance levels and identify any discrepancies. The processing steps involve data validation, compliance checks against predefined regulations, and the generation of detailed audit reports. Quality controls are integrated at each step to ensure data integrity and accuracy. The outputs of this DAG include comprehensive audit reports, a compliance register for future access, and alert notifications for compliance officers in case of anomalies. Monitoring key performance indicators (KPIs) such as compliance rate, number of anomalies detected, and report generation time is crucial for assessing the effectiveness of the workflow. The business value of this DAG lies in its ability to enhance regulatory compliance, reduce the risk of penalties, and improve overall operational efficiency within the banking sector.
Part of the Knowledge Portal & Ontologies solution for the Banking industry.
Use cases
- Reduces risk of regulatory penalties and fines
- Enhances operational efficiency through automation
- Improves traceability of data processing activities
- Facilitates timely compliance reporting
- Strengthens trust with stakeholders and regulators
Technical Specifications
Inputs
- • Transaction logs from banking systems
- • Compliance checklists from regulatory bodies
- • Regulatory guidelines and standards documents
Outputs
- • Comprehensive audit reports
- • Compliance register for future reference
- • Alert notifications for compliance officers
Processing Steps
- 1. Ingest transaction logs and compliance documents
- 2. Validate data against regulatory standards
- 3. Perform compliance checks on data processing
- 4. Generate detailed audit reports
- 5. Store results in a compliance register
- 6. Send alerts for detected anomalies
Additional Information
DAG ID
WK-0068
Last Updated
2025-06-02
Downloads
36