Andreas Siebert, Head Geospatial solutions @MunichRe presented this talk at ESRI User Conference in San diego July 2018.

1. GeoAnalytics –
A key component for insurance industry disruption
ESRI User Conference – Special Interest Group Insurance
San Diego, 10th of July 2018
Andreas Siebert, Head Geospatial Solutions
Image: used under license from Shutterstock.com
Source: Earthstar Geographics, Esri, Munich Re
Source: Earthstar Geographics, Esri, Munich Re

2. GeoAnalytics
Known challenges & New drivers1

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

4. © 2018 Münchener Rückversicherungs-Gesellschaft, NatCatSERVICE – Stand Februar 2018
Loss events worldwide 1980 – 2017
Overall and insured losses
US$ bn
Inflation adjusted via country-specific
consumer price index and consideration
of exchange rate fluctuations between
local currency and US$.
Overall losses
(in 2017 values)
Insured losses
(in 2017 values)

5. Source: BearingPoint, Roadmap 2025 – Zukunft braucht Umsetzung, 2017
Transformation – Best Practice Roadmap 2025

6. Source: Munich Re, 2018
IT Trend Radar 2018

7. „Of the 30 topics under study in
2017, location intelligence is
perceived as more critical than big
data, social media analytics or
Internet of Things (IoT).“
Source: Dresner Advisory Services, LLC, 2018
Technologies and initiatives strategic to business intelligence

8. Location Intelligence
Successful business cases2

9. Geospatial@MunichRe
System architecture - Providing Geoinformation via APIs
APIs
ArcGIS Server
CLIENT
APPLICATIONS
GeoDataService
(GDS)
GDS WebService
Geocoder
GEODATA
GeocodingGeospatial AnalyticsMaps

10. Data
Storage
Analysis-
Tools
In-memory-
Technologies
Cost-efficient
implementation
HDFS File System
Hadoop & Data Lake Tools
Existing HANAs
Structured transactional
business data
SAS LASR
Data for ad-hoc
in-memory analytics
HANA
Long term unstructured and structured data
Project Folders
User Folders
SAS Visual Analytics
SAS Enterprise Guide
SAS Enterprise Miner
SAS Contextual Analytics
SAS Data Loader
Access to Hadoop /
Embedded ProcessSAS Autoload Folders
Access to
HANA
Access to Oracle /
SQL Server
SAS Mobile BI
Terminalserver
Browser
MS Office Add-in
Cloud
Computing
Geodata-
Collection
Geo-
Analytics
Maps
Visualization
Geospatial@MunichRe
Integrating GeoAnalytics in new IT-architecture (data lake)

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

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

13. Geospatial Portal
Summary
Risk assessment tools
Cyber infrastructure and political risks

14. 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

15. RiskMapper 2.0
Post-event loss estimation
Overlay your exposure
with real-time event
footprints to get a short-
term estimation of your
affected risks.

16. Image: used under license from shutterstock.com
Outlook
New technologies triggering
insurance processes & products
3

17. Remote Industries
Building classification based on NICB imagery

18. Remote Industries
Tailored claims classification for all damaged properties 6-10 days post-cat
Aerial Imagery
by NICB GIC
ArcGIS layer
AI made by Munich Re
Portfolio in ArcGIS
by each insurer
Claims Solutions
tailored to/by each insurer
Insurer-specific definition
of damage classes
 Property features e.g.
swimming pool
 Property sub-features
e.g. roof type
 Damage attributes
e.g. ”shingles ripped
off”

19. Remote Industries
Tailored claims classification for all damaged properties 6-10 days post-cat
Aerial Imagery
by NICB GIC
ArcGIS layer
AI made by Munich Re
Portfolio in ArcGIS
by each insurer
Claims Solutions
tailored to/by each insurer
Access
 via single claim view
in GIS or browser, or
 as batch upload into
insurer´s claims
administration
software

20. Dashboards – State-of-the-art access to information

21. Digitalization accelerates new fields of innovation
Internet of Things, BIM, Smart city/home, …
Source: ESRI, 2017

22. Location Intelligence & Business Intelligence
The merger of two data worlds
Location
Intelligence
(GIS)
Business
Intelligence
(Economy)

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