GeoAnalytics A key component for insurance industry disruption

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Alyson McLaughlin
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GeoAnalytics A key component for insurance industry disruption Geo Risk Insurance Seminar London, 13th of March 2018 Image: used under license from

1 GeoAnalytics A key component for insurance industry disruption Geo Risk Insurance Seminar London, 13th of March 2018 Image: used under license from Shutterstock.com Source: Earthstar Geographics, Esri, Munich Re Andreas Siebert, Head Geospatial Solutions Source: Earthstar Geographics, Esri, Munich Re

2 1 GeoAnalytics Challenges & Chances Image: used under license from shutterstock.com

3 GeoAnalytics in the insurance industry Driving forces Analytics & Methods Data mesh-up LI & BI Integration & Access Drivers for GeoAnalytics

4 improved data granularity

5 real-time information

6 new methods (machine learning, artificial intelligence) Source: Descartes Lab, 2017

7 new platforms and collaborations

8 new IT-architectures (Data Lake) Cloud Computing Cost-efficient implementation HANA Hadoop & Data Lake Tools SAS Mobile BI Browser Analytical tools Access to HANA SAS Visual Analytics SAS Enterprise Guide SAS Enterprise Miner SAS Contextual Analytics SAS Data Loader Terminalserver MS Office Add-in In-memorytechnologies accelerating processing Existing HANAs Structured transactional business data HDFS File System Long term unstructured and structured data Project Folders User Folders SAS Autoload Folders SAS LASR Data for ad-hoc in-memory analytics Access to Hadoop / Embedded Process Access to Oracle / SQL Server Centralized data hosting

9 state-of-the-art access to information (dashboards)

10 2 Geospatial IT-Landscape Big picture & technical architecture

11 System architecture - Providing Geoinformation via APIs CLIENT APPLICATIONS Maps APIs Geospatial Analytics Geocoding GeoDataService (GDS) GDS WebService ArcGIS Server Geocoder GEODATA

12 Providing multiple data categories Model information, Budget data & Rates Environment data Social Media Political risks Infrastructure Footprints Socioeconomic data Geozones Geospatial Analytics Life & Health Geocoding Industrial Locations NatCat Hazard Telematics Claims & loss data Exposure data

13 Multiple solutions along the business value chain Product Development Marketing & Sales Risk Assessment Geospatial Analytics Claims Management Pricing Accumulation Control

14 4-phases model of integrating GIS and Location Intelligence I. Nerd Phase: Experts only II. Touch Phase: supporters join GIS Business GIS Business III. Integration Phase: Community forms IV. ROI Phase: Return can be measured Business Business GIS GIS Source: Andreas Siebert, Munich Re, 2016

15 Visibility of location based services for risk managers Internal Solutions visible SAFIR Internal Solutions invisible External Client Services NATHAN GeoDataServices

16 Solutions and tools are powered by the GeoDataService (GDS) SAFIR NATHAN FAB CPM GDS GeoData Service NatCat SERVICE M.IN.D MR-ET AREA

17 3 Group-wide SAFIR platform for GeoAnalytics & business apps

18 Spatial Analytics for Insurance Risks (SAFIR) Collaboration platform for business solutions and innovation

engineering underwriters Content Risk map derived from AIS vessel data;

19 Marine RiskMap Risk assessment for submarine infrastructure Business case Identify damage risk of planned submarine infrastructure Main user Marine and engineering underwriters Content Risk map derived from AIS vessel data; bathymetry Functionality Draw projected cable/pipeline and analyze risk in real-time SHOW APP

Market analysis and client comparison Business case Better understanding of market and client portfolios in Australia Main user Property managers Content Exposure

20 Market analysis and client comparison Business case Better understanding of market and client portfolios in Australia Main user Property managers Content Exposure data; geozones and MR hazard maps; external footprints and real-time bushfire alerts Functionality Visualize and compare aggregated and detailed portfolios SHOW APP

Facultative underwriters Content Satellite images and street maps

21 Line2FAB Pre-processing tool for underwriting linear risks Business case Enable underwriters to price and budget linear risks Main user Facultative underwriters Content Satellite images and street maps Functionality Draw linear features, create Lat/Lon-coordinates, export to Excel SHOW APP

stakeholders Main user Claims and client managers Content Drone/satellite

22 Story map Loss assessment of Earthquake Ecuador Business case Present an innovative post-event approach to share MR knowledge with clients and stakeholders Main user Claims and client managers Content Drone/satellite images and derived loss information Functionality Presentation and interactive mapping SHOW APP

23 Image: Bayerische Zugspitzbahn Bergbahn Image: AG Munich / Lechner Re Thank you! Andreas Siebert asiebert@munichre.com 2018 Münchener Rückversicherungs-Gesellschaft 2018 Munich Reinsurance Company

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