With the changes in today's global market—from amplified risk to greater regulatory scrutiny to a more informed and demanding customer base—insurance companies are challenged at every level. They're also under pressure to turn vast data stores into actionable insight. While insurers are devoting more resources to building and deploying models, they need to understand what makes a "good" model and which kinds of models work best in different circumstances. This webinar will show you best practices for how to: Identify the need for a predictive model Identify the criteria for a "good" model Improve your development of strategies that use models for segmentation Implement groundbreaking analytic and modeling strategies
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