Reinsurance Analytics System Development

Project background

Overview

A leading global reinsurance analytics company required a sophisticated software solution to manage risk insurance for insurance companies. The system needed to provide predictive analytics, risk assessment, portfolio modeling, and strategic planning. The goal was to create a high-performance, reliable solution that integrates seamlessly with the company’s existing systems and accelerates decision-making processes.

Project goals

• Develop a system that supports predictive analytics, risk assessment, portfolio modeling, and strategic planning.
• Integrate with the company’s Active Directory for seamless user management and security.
• Utilize specially designed APIs to connect with Analyze Re’s powerful analytical engine.
• Implement the project using agile TDD methodology to ensure high quality and reliability while reducing development time.

Challenges

• Developing a high-performance reinsurance analytics system capable of handling complex predictive analytics and risk assessments.
• Creating integration with the company’s Active Directory.

Our approach

Solution

We adopted an agile Test-Driven Development (TDD) methodology to ensure the highest quality and reliability of the solution. Our approach focused on creating a performance-optimized system that could handle the complex requirements of the reinsurance industry. We developed a comprehensive analytics platform that includes tiered insurance program information and connects to Analyze Re’s analytical engine via custom APIs. The system provides predictive analytics, risk assessment, portfolio modeling, and decision support, fully integrated with the company’s Active Directory.

Team

The project team consisted of a project manager, backend, frontend developers, a UI/UX designer, a data scientist, QA engineers, and a DevOps engineer.

Results

The project was completed in a much shorter timeframe than traditional reinsurance analytics platform solutions, thanks to the Agile TDD methodology. The system provided a performance-optimized solution of high quality and reliability, enabling the client to make informed decisions quickly and efficiently.

Achievements:

• Successful deployment across the company’s global operations.
• Recognized for significantly reducing the time required for risk assessment and strategic planning.

Valeriia Bystrova

Experienced IT consultant and lead generation manager. Created dozens of compelling case studies and blog posts related to software development services.