Our guide aims to answer a simple question: what defines a modern data platform for an insurance company? Decision makers need clear benchmarks to assess their current position and define objectives for their business. This paper provides a practical overview for both business and technical decision
makers.

As the AI race becomes everyday reality, decision makers in the insurance industry must prioritize building strong data infrastructure and reliable data platforms. Without a solid foundation, advanced AI projects struggle to deliver value. Effective data platforms simplify access to clean, consistent data, making it easier to integrate AI tools into daily operations. For insurers, this means quicker decisions, better risk management, and improved customer service—key factors for staying competitive.

why do you need a modern data platform?

Data-Driven Excellence in Insurance
- powered by a Modern Data Platform (MDP)

• Having a modern data platform today is the foundation of tomorrow’s AI development. It ensures that the data is clean, structured and ready for cutting-edge AI projects
• Supports better risk assessments and informed decision-making by providing high-quality, real-time data and analytics
• Improves operational efficiency - automation and streamlined data processes reduce manual effort, increase claim processing speed and minimise error
• Enables simpler implementation of the latest data governance and security standards, significantly reducing exposure to risks and ensuring regulatory compliance
• Facilitates data-driven performance measurement and reporting, enabling insurers to demonstrate operational efficiency and business success to investors and stakeholders