Strengthening Decision-Making Capabilities with a Self-Service Analytics Environment - Korea's Largest Insurance Group H
Leading insurance company H relied on manual reporting, which limited analysis speed and accuracy. To address this, a self-service data analytics environment was implemented. As a result, report generation time was reduced by over 70%, while the speed and accuracy of data-driven decision-making improved.
Challenge
Leading insurance company H operated business reporting manually in five key areas: new contracts, activities, claims/payments, and risk management, limiting analysis speed and accuracy. Data standards differed by job, and repeated preprocessing increased IT dependency and limited data utilization. There was a need to strengthen self-analysis capabilities to accelerate data-driven decision-making.
Solution
Designed a self-service data analytics environment that allows business users to directly explore and utilize data based on workflow and analysis objectives. Standardized and cataloged required data for each analysis subject, enabling search and selection of data items by purpose. Automated repeated preprocessing steps and designed job-specific aggregation structures and dashboard templates to facilitate insight generation.
Results
- Report preparation time reduced by over 70%: Greatly improved analysis efficiency through automated preprocessing and template application
- Improved speed and accuracy of data-driven decision-making: Enhanced decision quality with real-time reference information and analysis consistency
- Reduced dependence on analysis requests, transition to business-led analytics: Increased data utilization by enabling direct analysis without waiting for IT requests
- Secured agility in insurance business data analysis: Strengthened ability to respond quickly to market changes and customer needs