Case Study
Reinventing Data Strategy for a Global Insurance Leader
Overview
With rising competition and legacy system overload, a global insurance enterprise needed a modern data strategy to reduce operational costs, eliminate inconsistencies, and accelerate innovation. Alphaleo helped them transition from rigid monolithic systems to a dynamic, AI-enabled data mesh ecosystem.
The Challenge
The insurer faced major barriers to modernization, including:
- High operational expenditure due to outdated technology
- Disconnected systems producing inconsistent data
- A lack of a single, trusted customer view
- Slow processes that hindered automation, auditing, and risk assessment
- Limited ability to personalize products or identify growth opportunities
These issues prevented the business from achieving the insights needed for accurate risk management and customer-centric product design.
The Solution
Alphaleo implemented a Data Mesh strategy powered by our Semantic Hub, enabling decentralized yet governed access to data.
Key elements included:
- Creating reusable, versioned, and governed data products (e.g., Customer 360, Trade View)
- Establishing a self-service data marketplace to democratize access across departments
- Building trust and transparency through asset lineage, quality metrics, and governance
- Breaking down legacy silos to support scalable automation and AI-readiness
This modern architecture enabled faster innovation across underwriting, claims, customer experience, and compliance functions.
Value Delivered
The transformation delivered measurable enterprise-wide benefits:
- 20% Opex reduction by eliminating legacy dependencies
- Faster automation of underwriting, claims routing, and customer servicing
- A unified 360° customer view powering personalized product offerings
- Improved data quality and reduced enterprise risk
- New revenue opportunities through tailored insurance products at scale
The insurance leader emerged with a future-ready data ecosystem capable of scaling with business growth.
