A leading U.S.-based Property & Casualty insurance carrier was undertaking a data modernization initiative to transform its fragmented data landscape into a trusted, governed, and AI-ready foundation for enterprise-wide analytics and decision-making.
Fragmented data assets and siloed systems impacting operational efficiency and collaboration across business and IT teams.
Limited trust in reporting and analytics due to lack of end-to-end data lineage and transparency.
Manual and inconsistent tracking of data ownership, stewardship, and governance processes.
Increasing regulatory scrutiny around sensitive data, requiring enhanced security, classification, and compliance controls.
in operational efficiency
in regulatory compliance readiness
in claims accuracy
governed and cataloged across the enterprise
