Insurance — Regulatory Reporting for Solvency II Compliance

Free

This DAG compiles and processes data for regulatory reporting in accordance with Solvency II requirements. It ensures compliance through rigorous quality controls and generates standardized reports for stakeholders.

Weeki Logo

Overview

The purpose of this DAG is to facilitate regulatory reporting for insurance companies in alignment with Solvency II requirements, ensuring that all necessary data is accurately compiled and reported. The architecture integrates financial and operational data sources, including ERP transaction logs, claims data, and risk assessment metrics. The data ingestion pipeline begins with the extraction of relevant datasets, followed by data validation to ensure completeness and accuracy. Processing steps

The purpose of this DAG is to facilitate regulatory reporting for insurance companies in alignment with Solvency II requirements, ensuring that all necessary data is accurately compiled and reported. The architecture integrates financial and operational data sources, including ERP transaction logs, claims data, and risk assessment metrics. The data ingestion pipeline begins with the extraction of relevant datasets, followed by data validation to ensure completeness and accuracy. Processing steps involve calculating key financial ratios, such as solvency ratios and liquidity ratios, which are essential for compliance. Quality controls are implemented throughout the pipeline, including compliance checks and internal audits, to guarantee the integrity of the data and the resulting reports. The outputs of this DAG include standardized regulatory reports, compliance dashboards, and detailed audit trails. Monitoring key performance indicators (KPIs) such as report accuracy, processing time, and compliance status is crucial for ongoing evaluation and improvement. The business value derived from this DAG lies in its ability to streamline the reporting process, reduce the risk of non-compliance, and enhance transparency for stakeholders, ultimately supporting better decision-making and strategic planning within the insurance organization.

Part of the Fraud & Anomaly Analytics solution for the Insurance industry.

Use cases

  • Reduces risk of regulatory penalties through accurate reporting
  • Enhances operational efficiency by automating reporting processes
  • Improves stakeholder confidence with transparent compliance reporting
  • Supports strategic decision-making with accurate financial insights
  • Streamlines audit processes with detailed audit trails and documentation

Technical Specifications

Inputs

  • ERP transaction logs
  • Claims data from operational systems
  • Risk assessment metrics from risk management tools

Outputs

  • Standardized regulatory compliance reports
  • Compliance dashboards for internal stakeholders
  • Audit trails for regulatory scrutiny

Processing Steps

  1. 1. Extract relevant datasets from various sources
  2. 2. Validate data for completeness and accuracy
  3. 3. Calculate financial ratios for compliance
  4. 4. Perform quality control checks and audits
  5. 5. Generate standardized regulatory reports
  6. 6. Distribute reports to stakeholders and regulatory bodies

Additional Information

DAG ID

WK-1100

Last Updated

2025-11-10

Downloads

98

Tags