Analyzing claims data at each stage in the claims life cycle – from first notice of loss to payout – is critical for making the right decisions at the right times for the right parties. SAS approaches the problem by using analytics to:
• Detect fraudulent claims
• Achieve activity optimization techniques to assign resources based on workload, experience and skill set.
• Avoid overpaying fast-track claims by optimizing limits for instant payouts.
• Mitigate the severity of a disputed claim and to assign resources most efficiently and effectively.
• Reduce loss-adjustment expenses by generating alerts regarding the probability of salvage and subrogation opportunities
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