The integration of a.s.r. and AEGON Netherlands presented an opportunity for a.s.r. to enhance their reporting capabilities, though it came with significant challenges, such as inconsistencies in data formats and quality between the two organizations, and the need for a scalable solution that could be maintained with minimal effort. The group of Xomnia consultants collaborated closely with a.s.r. stakeholders to understand the existing reporting logic and data sources, navigate these complexities, identify key areas for improvement, and develop a tailored solution that addressed these challenges while ensuring robust, compliant, and future-proof reporting capabilities.

To address the reporting needs of a.s.r., the group of Xomnia consultants utilized Microsoft Azure services, including Azure Data Factory and Azure Synapse Analytics. They implemented a Medallion architecture (bronze, silver, gold) to process and transform data, ensuring a scalable and efficient reporting process. The entire process was fully automated, from data ingestion, quality validation, to report generation—drastically reducing manual effort, minimizing errors, and ensuring compliance. An easy to read ETL configuration with clear, component-based designs made the process easy to monitor, debug, and maintain. The solution incorporated a data quality framework that performed monitoring and comprehensive validation checks on all data inputs and outputs. This ensured end-to-end data integrity throughout the pipeline, resulting in consistently high-quality, reliable reports that met all regulatory standards. Forced parallel execution in Synapse accelerates critical processes like data quality checks, cutting down processing time significantly. Additionally, forced parallel execution in Synapse significantly accelerated critical processes like data quality checks, reducing processing time while maintaining rigorous validation standards.

The project delivered significant business value by automating critical regulatory reports required to determine Solvency II capital requirements, a key obligation for supervision authorities. Automation reduced human errors and improved data processing performance, while robust quality controls ensured data accuracy and compliance. The new data-driven solution replaced manual, error-prone processes, enabling a.s.r. to deliver clear and compliant reports efficiently, saving resources and costs. This successful system integration positions a.s.r. for future growth with enhanced decision-making and regulatory confidence.