A global insurance company is implementing a risk analysis platform to understand the cost and probability associated with disasters such as flood, drought, and earthquakes for African micro-farmers. Their goal is to create an accurate, low-cost insurance portfolio to protect the developing world. They have never been able to visualize and expose their datasets outside of complex risk analysis algorithms that abstract the value of the data.
The insurance company wants to enable their field sales staff to visualize parametric information and models for their customers, and integrate this analysis into the pricing model. They want this to be done in real-time, so that customers can understand their risk and premium pricing.