A data-driven insurance intelligence platform with BI integration and predictive risk management
We implemented a next-generation insurance intelligence platform for Insurance Company INSK, designed to leverage big data and analytics in every aspect of risk and business management. The solution consolidates data from policy, claims, and partner systems into a unified analytical core, enabling advanced forecasting, trend detection, and automated decision-making
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Quick Facts:
  • Unified data warehouse consolidating insurance information from dozens of internal and external systems
  • Built-in BI dashboards and predictive analytics enable data-driven decisions
  • Real-time portfolio tracking and intelligent risk assessment
  • Cloud-native microservices architecture ensures scalability, high performance, and effortless integrations across the ecosystem
Client Info:

Insurance Company INSK is a modern Ukrainian insurance provider focused on technological innovation and data transparency. The company’s strategy centers on analytics-driven decision-making and predictive modeling to enhance portfolio profitability and operational resilience

Challenge:
  • Fragmented data sources across legacy systems
  • Lack of unified analytics and risk modeling capabilities
  • Manual risk assessment slowing underwriting and portfolio management
  • Limited visibility into key performance indicators and loss trends
  • Need for scalable, cloud-ready architecture to handle growing data volumes
Solution:
  • Data Integration Layer: Consolidated multiple internal and external data streams (policies, claims, partners, regulatory feeds) into a centralized data warehouse.
  • BI & Analytics Integration: Embedded Power BI and Tableau dashboards with drill-down analytics for portfolio, claims, and risk metrics.
  • Predictive Risk Engine: Machine-learning models for risk scoring, loss forecasting, and fraud detection, trained on historical and real-time data.
  • Cloud-Native Platform: Modular microservices deployed on Kubernetes for scalability, fault tolerance, and flexible evolution of analytical capabilities.
  • API-First Architecture: Seamless connectivity between operational systems, CRM, and BI modules.
  • Security & Governance: Advanced access controls, data lineage tracking, and compliance with insurance data regulations.
Business impact:

Data-driven underwriting decisions supported by predictive analytics and automated scoring models

40% faster analytical reporting through unified BI dashboards

Improved loss ratio prediction accuracy by leveraging AI-based forecasting

Enhanced transparency and control over operational and financial KPIs

Future-ready architecture enabling continuous integration of new data sources and analytical tools

Team:
  • 1 PM
  • 1 Business Analyst
  • 4 Developers
  • 1 QA Engineer
Call to action
Ready to transform your insurance business with real-time analytics, predictive modeling, and a unified data foundation?
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