Modernizing Data Management for AI

In a market defined by risk, regulation, and rising customer expectations, data is the backbone of performance and innovation. Yet legacy platforms, silos, and weak governance keep insurers from delivering the trusted, high-quality data needed for advanced analytics and AI. For technology and transformation leaders, modernizing data management is critical to enabling faster underwriting, smarter claims, stronger compliance, and a foundation for AI-driven capabilities.

One leading multi-line insurer set out to modernize its data management platforms and capabilities to overcome these challenges. The organization established clear objectives, including:

Implement a data producer/consumer operating model
Enhance business and technical metadata, data lineage, and stewardship
Improve data reliability and accessibility to strengthen analytics and the consumer experience
Optimize data management products, services, and capabilities
Reduce the cost of finding, sharing, and consuming quality data
Enable more effective data insights for decision-making
Strengthen management of data-related risks

Enabling Smarter, Faster Decisions Through Data Modernization

To achieve these goals, the insurer partnered with PremiumIQ, a data and analytics consulting firm specializing in P&C insurance, to design and execute a multi-year Data Management Transformation Program. PremiumIQ provided advisory expertise, hands-on implementation, and change management support to replace legacy systems, strengthen governance, and empower data consumers with trusted, high-quality data across the enterprise.

Key elements of PremiumIQ’s solution included:

Deployment of modern platforms: Rolled out Alation Data Catalog and BigEye Data Quality & Observability, with a structured transition plan to retire legacy tools.
Creation of a Data Management Factory: Established a hub-and-spoke model to deliver scalable data management services across business lines.
Optimized data sharing: Streamlined processes for data access and exchange, both internally across spokes and externally with partners.
Data discovery enablement: Developed a data discovery zone to improve self-service access for analysts and business users.
Cloud-first governance: Embedded governance policies and standards directly into the new cloud tools for consistency and compliance.
Strengthened data foundations: Expanded Reference and Master Data Management programs to unify data across domains.
Proactive governance controls: Introduced new metrics and guardrails to prevent non-adherence and strengthen oversight.

Strategic Outcomes and Benefits

With PremiumIQ’s support, the insurer successfully modernized its data environment and achieved measurable improvements in efficiency, governance, and decision-making. The program delivered:

Simplified stewardship and an improved producer/consumer experience
Efficient, user-friendly search and discovery of data assets
A matured data quality solution that reduced complexity, supported cloud repositories, and accelerated rules execution
Improved data democratization, enabling broader access to trusted data
A unified understanding of information across business lines
Compliant, secure information sharing in line with regulatory expectations
Faster data discovery and decision-making, driving agility in underwriting and claims
A secure, cloud-first environment aligned with modernization priorities
Continuous monitoring and oversight to mitigate data-related risks

“Insurance runs on data, but it has to be data you can trust. Our work at PremiumIQ is about making sure insurers have that solid foundation, not just to solve today’s challenges but to be ready for the AI-powered future of underwriting, claims, and customer engagement.”

— Bill Gowans, Partner, PremiumIQ

By aligning strategy, technology, and governance, PremiumIQ helped the insurer not only achieve its immediate modernization objectives but also lay the foundation for AI-driven innovation and long-term transformation.