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Data Science for Insurance

Getting it right in insurance is harder than ever.

The complexity of risk is rising due to climate change, terrorism, and cybercrime. Smart homes and autonomous vehicles are creating new, complex industry dynamics and unprecedented considerations when crafting policies.

The analytics behind today’s underwriting, valuation, and fraud detection need to be re-invented to be lightning fast, laser accurate, and adaptable to changing demands. Failure to deliver means, at best, lower profit and dissatisfied customers. At worst, it exposes insurers to massive losses. RapidMiner enables insurance companies to harness their data to meet customers’ changing needs while effectively assessing and protecting themselves against new horizons of risk.

Learn how RapidMiner helps harness data to meet customers’ changing needs, while effectively assessing and protecting against new horizons of risk.

Find out how data science can transform your insurance business

We apply our expertise to help you identify the use cases you should tackle in your organization. The outcome is an impact-feasibility map that you can use with or without us.

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RapidMiner Platform Brochure

Read our platform brochure to learn more about how RapidMiner unifies the entire data science lifecycle from data prep, to machine learning and model operations.

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