Leading Global Insurance Provider Cuts Underwriting Time by 25%

Challenges

• Incomplete and inaccurate data inputs impacting predictive model accuracy
• Data silos and inconsistencies across global operations causing duplication and limited visibility
• Delays in data availability affecting real-time analytics like fraud detection
• Schema drift in third-party data disrupting pipelines and analytics

Solution

• Implemented business-defined data quality rules at attribute and asset levels for precise monitoring
• Automated issue management through JIRA integration with SLA-based workflows prioritizing severity
• Integrated with Collibra for unified metadata and data governance insights
• Provided advanced, no-code visual rule builder empowering business users

Results

• 25% reduction in underwriting cycle time and 18% pricing precision improvement
• 30% decrease in manual claims intervention and 22% higher straight-through processing
• Achieved 100% audit readiness and 40% faster regulatory reporting timelines
• Empowered users to triple self-service rule creation, reducing engineering support by 40%