Case Study: Munich Re achieves faster climate risk analysis with Microsoft Azure

Munich RE - Customer Case Study

For decades, Munich Re, a global insurance firm, possessed sophisticated models to analyze weather risks but lacked the computing power to fully leverage its vast and growing data resources. Their challenge was processing terabytes of climate data from sources like NASA to create predictive models, a task that was computationally expensive and time-consuming on their own hardware, with single scenarios taking hours to calculate. To overcome this, they partnered with Microsoft Corporation, utilizing products like HPC on Azure and Azure Machine Learning.

The solution implemented by Microsoft provided Munich Re with immense, on-demand cloud computing power through Microsoft Azure. This allowed them to process data thousands of times faster, reducing analysis times from hours to seconds. The measurable impact was profound; Munich Re can now calculate 10,000 model loops in a few hours, enabling more iterative experimentation and deeper, more innovative analysis. This has opened up new business fields, such as providing risk models for developing countries, and has firmly established data as a strategic success factor for the company.

Munich Re

Ernst Rauch

Chief Climate and Geo Scientist