Banking — Automated Regulatory Reporting Pipeline
PopularThis DAG automates the generation of regulatory reports from processed financial data. It ensures compliance and accessibility for audits while optimizing report generation time.
Overview
The Automated Regulatory Reporting Pipeline is designed to streamline the generation of regulatory reports within the banking sector. Its primary purpose is to transform raw financial data into compliant reports that can be easily accessed for auditing purposes. The data sources include transaction logs, compliance data, and historical financial records, which are ingested into the pipeline for processing. The architecture features a series of processing steps that include data validation, forma
The Automated Regulatory Reporting Pipeline is designed to streamline the generation of regulatory reports within the banking sector. Its primary purpose is to transform raw financial data into compliant reports that can be easily accessed for auditing purposes. The data sources include transaction logs, compliance data, and historical financial records, which are ingested into the pipeline for processing. The architecture features a series of processing steps that include data validation, formatting, and document generation. Quality controls are implemented at various stages to ensure data integrity and compliance with regulatory standards. The outputs of this pipeline include reports in multiple formats such as PDF, CSV, and XML, which are stored in a secure repository for easy retrieval. Key performance indicators (KPIs) monitored include report generation time and compliance rates, which help assess the efficiency and effectiveness of the reporting process. In the event of a failure, a robust recovery mechanism is in place to ensure continuity. This automated solution not only reduces manual effort but also enhances accuracy and compliance, delivering significant business value by minimizing risks associated with regulatory reporting.
Part of the Supply/Demand Forecast solution for the Banking industry.
Use cases
- Reduces manual reporting efforts and associated costs
- Enhances compliance with regulatory requirements
- Improves accuracy of financial reporting
- Increases efficiency in report generation processes
- Facilitates easier access to audit-ready documentation
Technical Specifications
Inputs
- • Transaction logs from core banking systems
- • Compliance data from regulatory databases
- • Historical financial records for trend analysis
Outputs
- • Regulatory reports in PDF format
- • CSV files for data analysis
- • XML documents for system integration
Processing Steps
- 1. Ingest transaction logs and compliance data
- 2. Validate data for accuracy and completeness
- 3. Transform data into required report formats
- 4. Generate reports in specified formats
- 5. Store reports in secure repository
- 6. Monitor KPIs and generate alerts for failures
Additional Information
DAG ID
WK-0027
Last Updated
2025-06-19
Downloads
6