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Automating bordereaux for compliance and efficiency 

The client needed to navigate policies across regions with individualized premiums, claims and exposures, and differentiated reporting requirements.

Data accuracy is critical

Reliability and forward thinking are core values of global insurer Zurich, with a long legacy of trust. Kubrick provided a custom solution for its complex reporting requirements to achieve the reliability and efficiencies required as well as setting them up for future development.

3 weeks

Time to value

<1 min

Pipeline runtime

100%

Metadata driven
  1. 01

    The challenge

    Zurich aimed to address report ingestion challenges and had evaluated the best options for a scalable solution to meet their complex bordereaux requirements. It concluded that a custom solution would be required to address complexities, ensure regulatory compliance and provide flexibility, scalability and observability across operations.  

    The solution would need to: 

    • Close gaps in financial visibility and management. 
    • Connect data sources, formats and tools to improve efficiency and consistency. 
    • Remove manual interventions to reduce costs, delays and financial discrepancies. 
    • Increase confidence in data integrity and compliance monitoring. 
  2. 02

    The approach

    Kubrick designed and implemented a solution with flexibility, scalability and advanced observability. 

    • Provided a Streamlit user-friendly interface: Allows business users to configure validation and transformation rules, upload files, and easily manage ingestion logic. This minimized reliance on IT teams for day-to-day operations. 
    • Built metadata-driven Snowflake pipelines: Using Snowpark, we employed a fully metadata-driven pipeline to process, transform, and load data according to predefined rules. This architecture allowed for seamless adjustments to ingestion logic as data standards evolved. 
    • Integrated monitoring and auditing: We implemented comprehensive logging and traceability using Snowflake Event Tables, enabling end-to-end monitoring of ingestion progress, error handling, and data transformation activities. An intuitive Streamlit UI was provided to track file progress and review logs for quick issue resolution. 
    • Minimized error handling and resilience: Erroneous records were captured in a rejected records table for easy review and reprocessing. The solution’s dynamic schema handling allowed it to adapt to new or altered data structures without requiring extensive rework. 
    • Provided Streamlit-based file upload UI: An additional tactical interface for manual file uploads, ensuring flexibility and continuity even during process exceptions. 
    • Ensured robust testing and CI/CD: Delivered with unit tests and a CI/CD pipeline, enabling continuous integration, automated testing, and rapid deployment. 
  3. 03

    The impact

    • The rewards scheme reached 9m customers with a potential of £254m in incremental sales. 
    • Customer attributes used to personalize marketing campaigns increased from 40 to 125.  
    • The improvement in data quality and sources enabled the creation of C-suite level dashboards, improving strategic and tactical decision making.  

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