Three Steps to Less Data Noise for Small Commercial Insurers
Identifying the essentials can put you ahead in the race to zero questions
Small commercial insurers are on a quest for simpler, faster, more accurate quoting. It’s harder to achieve when data is full of inaccuracies and noise—and short on insight.
Explore three keys to getting clearer signals:
- Quality data that’s been vetted for gaps and errors
- Relevant data that’s meaningful to the risk being quoted
- Actionable data that can plug into workflows and produce results
A range of innovations, including machine learning, image analytics, and more, can help reduce the noise and make sense of structured and unstructured data. And that can support automated, profitable underwriting of small commercial business in a fast-paced market.
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Verisk’s comprehensive data is helping us improve not only our ease of doing business but also our underwriting results.
- John Eckmair
- Utica National Vice President and Chief Underwriting Officer
How Verisk can help
How Verisk can help
Streamlining the underwriting process requires confidence in the quality of the data you rely on to make decisions. Using a data provider with broad insurance industry expertise can translate into a nuanced understanding of the insights generated by image analytics. Verisk data scientists continually test and develop models to ensure the level of reliability needed to provide actionable underwriting insights that can help you sustainably grow your portfolio and boost profitability.
Integrated directly into LightSpeed® Small Commercial, image analytics paired with other robust data sources can provide insurers with a holistic underwriting solution that helps refine risk assessment and improve customer and agent experiences.