At this point, you’re ready to incorporate the source data into your rating and underwriting. Your key consideration here is whether to develop your own predictive models or to work with a solution provider.
It’s not enough to have access to good-quality financial data about the business. You must also have enough credible performance data to create predictive models with enough lift and segmentation. To do this, having access to models developed from large, pooled datasets can help smaller carriers that are challenged by a lack of credible data. They can also help larger carriers that may want to expand into industry segments or geographies where they currently have little exposure.
Your rating and underwriting program should be designed to get the greatest value from your data and models. Consider your risk appetite and current book as you determine the best mix of business credit, business owner credit or public record information. It’s important to have a good understanding of how the mix can help you address any profitability concerns.