Advanced Predictive Analytics Consulting Services Qorus-NTT DATA Innovation in Insurance Awards 2025- Nominated
United StatesCategory
Product & Service InnovationKeyword
Business insurance, Customer experience, Transformation, Prevention, Insurance, Data, Risk managementBusiness Line
Commercial InsuranceDistribution Channel
Brokers
Innovation presentation
Better controlling the total cost of risk is a core goal of all risk managers.
To help accomplish this, Liberty Mutual Insurance’s industry-leading Risk Control organization pioneered a data science approach that uses sophisticated predictive analytics to identify and rank the factors driving workers compensation, general liability and commercial auto losses at our largest clients. Liberty’s risk control professionals and data scientists consult with each client to understand the core operational challenges they face and to identify factors driving claims. They then generate advanced models and algorithms that model the likelihood of future claims based on historic trends using factors like employee morale, indicators of fatigue, and even customer survey feedback.
This approach provides risk managers with new insights to prevent costly claims, reduce their cost of risk and make the greatest impact across their organization. Additionally, with this approach, they are able to positively influence company goals outside of the risk management program such as employee retention, operational efficiency and customer experience.
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