Curated Data Models
Pre-built subject areas for policy, claims, billing, commissions, reinsurance, and finance. Semantic layer with reusable metrics and row/column security.
Single source of truth for Life, Health, and P&C. Curated data models (policy/claim/billing), near-real-time pipelines, semantic layer, governed metrics, self-service dashboards, AI-assisted insights, and data sharing with lineage and privacy controls.
Our Data Warehouse and BI platform provides a single source of truth for all insurance data. Curated models, governed metrics, and self-service analytics enable data-driven decisions across the organization.
Pre-built subject areas for policy, claims, billing, commissions, reinsurance, and finance. Semantic layer with reusable metrics and row/column security.
Dashboards library for all departments. Ad-hoc analytics with explore, pivot, and drill-through capabilities. AI-assisted insights with anomaly detection.
End-to-end features for data ingestion, modeling, governance, analytics, and sharing. Enable data-driven decisions with trusted, fresh data.
Subject areas for policy, claims, billing, commissions, reinsurance, and finance.
Batch/stream ingestion, change-data-capture, and late-arriving handling.
Business views, reusable metrics, and row/column security.
Sales, underwriting, claims, billing, solvency/RBC, and provider scorecards.
Explore, pivot, drill-through/anywhere, and saved queries.
Rules, alerts, quarantines, and freshness/completeness SLAs.
End-to-end lineage, glossary, ownership, and documentation.
Anomaly detection, narratives, and automated alerts.
Secure data products for partners/regulators and API access.
Masking/tokenization, consent, and audit trails.
Workload/compute governance, usage dashboards, and budgets.
PAS/Claims/Billing, CRM, finance/GL, market data, and external data.
The system integrates easily with policy, claims, billing, and finance systems to ensure smooth data flow and comprehensive analytics.
A practical rollout approach to standardize data and analytics. Validate the system with realistic data models and dashboards before full-scale deployment.