Two workers’ compensation carriers address payroll misclassification. See how one carrier experienced a 2 to 1 ROI and another saved $1M by proactively identifying payroll misclassification.
Download this guide now to get the 7 key questions that you can answer to gain the confidence of your executive team.
One of the most crucial steps to any analytics implementation is securing organizational buy-in to help your underwriters be successful.
The number one cause of failure that insurers see in predictive analytics projects is not a technical or theoretical problem with the model. It is fundamental problem with a poorly designed or executed implementation plan.
Whether developing a model in-house or using an external firm, there are three components critical to ensuring the success of a predictive analytics project.
What does it take to prepare your organization to implement predictive models successfully?
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