No analytics investment survives bad data -- and most carriers know it.
Years of legacy system migrations, manual workarounds, and disparate data entry practices have left many P&C carriers with policy and claims records that contain gaps, inconsistencies, and duplicate exposures. Before advanced analytics can deliver value, that foundation must be repaired.
Data governance programs -- defining ownership, establishing quality standards, and building automated validation rules -- are unglamorous work but they unlock every downstream capability from pricing model accuracy to regulatory reporting confidence.
Modern core systems that enforce structured data entry at the point of capture prevent problems from accumulating, making data quality a policy administration system selection criterion, not just a remediation project.
#DataQuality #DataGovernance #InsuranceTech #DigitalTransformation #PandCInsurance
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