Public Sector — Regulatory Reporting Automation Pipeline

Overview

The Regulatory Reporting Automation Pipeline is designed to streamline the process of generating compliant reports for the public sector. Its primary purpose is to extract data from diverse sources such as ERP and CRM systems, ensuring that the data is normalized and ready for reporting. The ingestion pipeline begins with data extraction from these systems, followed by a series of processing steps that include data validation, normalization, and compliance checks. Quality controls are integral t

The Regulatory Reporting Automation Pipeline is designed to streamline the process of generating compliant reports for the public sector. Its primary purpose is to extract data from diverse sources such as ERP and CRM systems, ensuring that the data is normalized and ready for reporting. The ingestion pipeline begins with data extraction from these systems, followed by a series of processing steps that include data validation, normalization, and compliance checks. Quality controls are integral to this workflow, incorporating validation tests to ensure data integrity and adherence to regulatory requirements. Once the data is processed, the system generates reports that are published in a document management system. Key performance indicators (KPIs) related to compliance are monitored continuously, providing insights into the effectiveness of the reporting process. In case of any failures during processing, a recovery mechanism is activated to maintain data integrity and ensure that no critical information is lost. The business value of this DAG lies in its ability to enhance operational efficiency, reduce the risk of non-compliance, and foster transparency in public sector operations.

Part of the AI Assistants & Contact Center solution for the Public Sector industry.

Use cases

• Improved compliance with regulatory standards
• Enhanced transparency in public sector operations
• Reduced manual effort in report generation
• Increased accuracy of reported data
• Timely identification of compliance issues