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
1 GeoAnalytics Challenges & Chances Image: used under license from shutterstock.com
GeoAnalytics in the insurance industry Driving forces Analytics & Methods Data mesh-up LI & BI Integration & Access Drivers for GeoAnalytics
improved data granularity
real-time information
new methods (machine learning, artificial intelligence) Source: Descartes Lab, 2017
new platforms and collaborations
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
state-of-the-art access to information (dashboards)
2 Geospatial IT-Landscape Big picture & technical architecture
Geospatial@MunichRe System architecture - Providing Geoinformation via APIs CLIENT APPLICATIONS Maps APIs Geospatial Analytics Geocoding GeoDataService (GDS) GDS WebService ArcGIS Server Geocoder GEODATA
Geospatial@MunichRe 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
Geospatial@MunichRe Multiple solutions along the business value chain Product Development Marketing & Sales Risk Assessment Geospatial Analytics Claims Management Pricing Accumulation Control
Geospatial@MunichRe 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
Geospatial@MunichRe Visibility of location based services for risk managers Internal Solutions visible SAFIR Internal Solutions invisible External Client Services NATHAN GeoDataServices
Geospatial@MunichRe Solutions and tools are powered by the GeoDataService (GDS) SAFIR NATHAN FAB CPM GDS GeoData Service NatCat SERVICE M.IN.D MR-ET AREA
3 Group-wide SAFIR platform for GeoAnalytics & business apps
Spatial Analytics for Insurance Risks (SAFIR) Collaboration platform for business solutions and innovation
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 data; geozones and MR hazard maps; external footprints and real-time bushfire alerts Functionality Visualize and compare aggregated and detailed portfolios SHOW APP
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
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
Image: Bayerische Zugspitzbahn Bergbahn Image: AG Munich / Lechner Re Thank you! Andreas Siebert asiebert@munichre.com 2018 Münchener Rückversicherungs-Gesellschaft 2018 Munich Reinsurance Company