• Source Reporting Lags: Data delays spanning from day-end to T-2, creating severe bottlenecks in business reporting.

• Batch-Restricted Ingestion: Total absence of real-time data pull mechanisms, placing unnecessary processing overhead on day-end workflows.

• Manual Integration Dependencies: Protracted development and deployment cycles caused by heavy reliance on manual maintenance routines.

‍

• Optimized Oracle Endpoints: Establishment of robust, secure endpoint connections across source and target Oracle databases.

• Real-Time CDC Governance: Deployment of Qlik Replicate for frictionless creation and management of live data capture jobs.

• Multi-Method Extraction Framework: Implementation of three distinct extraction strategies (SQL queries, Procedures & Functions, and Materialized Views) for comprehensive data capture.

• Automated Business Logic Integration: Translation of legacy SSIS and stored procedure logic into automated staging pipelines and data marts via Qlik Compose.

‍

• Eliminated Reporting Latency: Replaced slow batch routines with immediate, real-time source feeds via Change Data Capture.

• Automated Pipeline Lifecycle: Deployed integrated tasks that seamlessly execute initial full loads before switching automatically to live CDC monitoring.

• Reduced Costs and Risks: Automated ETL code creation to shrink development time, lower operational costs, and mitigate human error.

• Streamlined Enterprise Architecture: Modernized data warehouse and data mart population routines to support rapid business intelligence consumption.

‍

Conclusion

‍

Transitioning from rigid batch frameworks to automated, real-time data integration is essential for modern insurance operations. By deploying Qlik Replicate and Qlik Compose, this leading life insurance company successfully eliminated historical reporting lags and streamlined its data pipeline lifecycle. The solution delivers the speed, automation, and architectural reliability required to support secure, data-driven insurance administration at scale.

‍