Big Data Analytics @ Munich Re - VIII. International Istanbul Insurance Conference - Irmingard Eder (2016)

1. Big Data Analytics @ Munich Re
VIII. International Istanbul Insurance Conference
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).

2. Agenda
4. Juli 2018 2
Data Analytics Framework
1 Example for Current Analytics
Activity2

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

4. When does it become BIG Data?
4. Juli 2018 4
 43 zettabytes of data will probably be generated by 2020
 300 times the volume in 2005
40,000,000,000,000,000,000,000
ByteKilobyteMegabyteGigabyteTerabytePetabyteExabyteZettabyte
Source: IBM
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
Google, Facebook, Microsoft…
All words ever spoken by humans
Yes or No

5. Big Data
Analytics
Methods
 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
Big Data Analytics is a Combination of Methods,
Technology, Data and People
54. Juli 2018

6. Agenda
4. Juli 2018 6
Data Analytics Framework
1 Example for Current Analytics
Activity2

7. Pilot Fact Sheet
M.IN.D. – Digital Big Data Platform for efficient Risk Management
4. Juli 2018 7
 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 managementM.IN.D
BenefitsResults

8. Thank you!
Contact:
Irmingard Eder,
Data Scientist, Munich Re
ieder@munichre.com
© 2016 Münchener Rückversicherungs-Gesellschaft © 2016 Munich Reinsurance Company
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).