We create predictive models for insurance analytics mapped to key performance indicators to make implementing behavior-based segmentation efficient, accurate, and precise. These analytics solutions examine past claims and other records to determine future client expenses, leading to more informed pricing decisions and risk mitigation.
Monitor and analyze operational profit/loss through any number of financial metrics, including staffing levels, transaction volumes, products sold, complaints, refunds, and error corrections. Ensure compliance with insurance industry regulatory requirements.
Analyze products and services portfolio to existing and new customers. Gain deeper insight into portfolio risks, exposure, and overall profit margins. Maintain and monitor customer actions and life events that impact the purchase/sale of financial assets.
Evaluate loss impact from internal risk exposure from employees, inadequate systems, or failed processes. Better understand, identify, and manage customer exposure levels by analyzing purchasing trends, account activity to identify mistakes, credit risks, and identify theft.
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Adaptive in their approach, in many ways, they have mentored much of our internal staff, demonstrating a client-first methodology.
-Todd Brown, VP, Software Development & Information Technology Financial Recovery Technologies
A national property & casualty insurance firm modernized their claims management portal to provide improved loss analysis and claim reporting.
Optimization of sales and marketing engagements with the client base and improved insight into client revenue performance across channels, territories, funds and affiliates.
A modernized client services reporting system for life and annuity product sales, and investment performance that provides self-service analytics and reporting.
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