Case Studies | Client Success Stories

Predicting Weather for Better Insurance

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Situation:

This insurance company is a global provider of property catastrophe reinsurance. Hurricanes, earthquakes, and other disasters to property can be insured properly with weather and risk modelling and terabytes of data to analyze. Continuous access to data is paramount.

Challenges:

Keeping systems up and maintaining 24/7 access to data across two international sites, even when a system crash happens, requires stringent business continuity practices. And the system must support disaster recovery, automated workflow, data analysis and approval processes.

Insurance requires analyzing mounds of data and a process for approval to support the daily need for answers. Review and approval tasks ensure data analysis is valid and can touch several staff over multiple locations. For this insurance company, weather and risk models needed to be spun up, analyzed for approval, then discarded in a workflow that spans international locations.

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