Not if, but how
#MRDataThon - A DataThon by Munich Re
Munich, Nov 17 - 19, 2017
About Munich Re
Munich Re stands for exceptional solution-based expertise, consistent risk management, financial stability and client proximity. This is how Munich Re creates value for clients, shareholders and staff. In the financial year 2016, the Group – which combines primary insurance and reinsurance under one roof – achieved a profit of €2.6bn. It operates in all lines of insurance, with over 43,000 employees throughout the world. With premium income of around €28bn from reinsurance alone, it is one of the world’s leading reinsurers. Especially when clients require solutions for complex risks, Munich Re is a much sought-after risk carrier. Its primary insurance operations are concentrated mainly in ERGO, one of the leading insurance groups in Germany and Europe. ERGO is represented in over 30 countries worldwide and offers a comprehensive range of insurances, provision products and services. In 2016, ERGO posted premium income of €16.0bn. Munich Re’s global investments (excluding insurance-related investments) amounting to €219bn are managed by MEAG, which also makes its competence available to private and institutional investors outside the Group.

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#MRDataThon - A DataThon by Munich Re


Data and young talent – Inaugural Datathon held at Munich Re

43 data scientists from around the world, 8 teams, 48 hours, and 1 challenge: to immerse yourself in the Munich Re data lake and assess hurricane risks in the North Atlantic. This was the first Datathon at Munich Re – an unusual kind of challenge.

The teams made use of the creative environment in the Munich Re LAB and the data lake information, and showed a huge amount of team spirit as they worked with the analysis tools and strategies to solve the task at hand. At the end of the event, the eight teams presented their solutions and analysis strategies to a panel of experts and demonstrated strong skills in handling data and addressing complex issues. The jury was impressed by how they familiarised themselves with the topics in a very short time, and made use of the data to create new tools for graphical representations and presentations.

Stay tuned for the next datathon to come.

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