6 October 2016 Irmingard Eder Data Scientist, Munich Re Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). Big Data Analytics @ Munich Re VIII. International Istanbul Insurance Conference 6 October 2016 Irmingard Eder Data Scientist, Munich Re

1 2 Agenda Data Analytics Framework Example for Current Analytics Activity 19. November 2018

Big Data in Trend Radar Big Data Digitization Internet of Things Augmented and virtual worlds Big Data 3D Printing Computing Everywhere Loc-based services Telematics Smart Home Industrialization 4.0 Digitalization Wearable Devices Predictive Analytics Robotics/Drones Open Data Internet of Things Collaborative Consumption Big Data Digitization Citizen Development Mobile Health Services Virtual Assistant Systems Crowdsourcing User Centered Design On-Demand-Everything Context-aware Computing Digital Identity Integrated Systems Cybersecurity Risk-based Security Autonomous Systems and Devices Internet of Things Web 4.0 Web-Scale IT Automated Decision Taking Software-defined Anything Haptic Technologies Cloud/Client Architecture New Payment Models 19. November 2018

When does it become BIG Data? 40,000,000,000,000,000,000,000 Zettabyte Exabyte Petabyte Terabyte Gigabyte Megabyte Kilobyte Byte Yes or No 43 zettabytes of data will probably be generated by 2020 300 times the volume in 2005 4 KB Commodore VC 20 3.5 inch floppy disk Data contained in a library floor 4 TB in Memory Big Data Platform MR Petabyte Storage Big Data Platform All words ever spoken by humans Google, Facebook, Microsoft… Source: IBM 19. November 2018

Big Data Analytics is a Combination of Methods, Technology, Data and People Regression Models Machine Learning Models Text Mining Technology Hardware (Compute power) Software (SAS, R, Spark, …) Data Internal Data External Data Structured Data Unstructured Data People Data Scientists Data Engineers Business People 19. November 2018

1 2 Agenda Data Analytics Framework Example for Current Analytics Activity 2 19. November 2018

Pilot Fact Sheet M.IN.D. – Digital Big Data Platform for efficient Risk Management Results Benefits M.IN.D Easier, faster and cheaper information about exposure and losses Transparency on all exposures and losses independent of participation and risk assessment Database on loss events allows in-depth trend detection Faster & more effective claims management M.I.N.D. = Manager for INteractive Disaster Assessment 19. November 2018

Contact: Irmingard Eder, Data Scientist, Munich Re ieder@munichre.com Image: Bayerische Zugspitzbahn Bergbahn AG / Lechner Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). Thank you! Contact: Irmingard Eder, Data Scientist, Munich Re ieder@munichre.com © 2016 Münchener Rückversicherungs-Gesellschaft © 2016 Munich Reinsurance Company