Data and analytics are at the heart of the digital transformation. Implementing a modern data platform can be challenging; moreover, success requires a shift in culture. Andreas will discuss the ways Munich Re drives cultural and technological change within their company, focusing on three key elements: people, processes, and technology. What does it mean to be a data-driven organization? How can we provide self-service analytics to our internal and external customers in an agile way? How do we get the most value out of our big data lake? How does Munich Re balance technology and culture to meet the data demands of their business? Speaker Andreas Kohlmaier, Head of Data Engineering, Munich Re

1. Andreas Kohlmaier
Head of Data Engineering
Munich Re
Munich Re: Driving a Big Data
Transformation

2. About
Munich Re
43,428
staff members
Operates in all
lines of insurance
138 years
of know-how-building,
experience and expertise
One of the world’s
leading reinsurers
49.1€bn
Gross premiums written

3. Cyber & New RisksLife & Health Big Events
EngineeringNat Cat Aviation & Space

4. 2015

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8. 2017-01-27
The data lake is now live.

9. Data Lake
Users
Users Time
0 9:00 AM

10. Data Lake
Users
Users Time

11. Data Lake
Users
Users Time

12. 1 Week
Data Lake
Users
Users Time

15. 20172017

16. EASE OF USE
 Global catalog of
data & dashboards
 Easy to consume as
dashboard or code
 In-House Consulting
Team to get you started
CONTENT
 Don´t start with
a blank slate
 Editorial team documents
existing content
 Describe Data Sets
& Business Value
User Interface for business users and pre-populated content

17. Dedicated Data Intake Team and focused Data Strategy
Data Intake Team
 Top down data strategy along innovation topics and
core business domains
 Systematic cataloging of all existing data sources
 Ingest & clean only relevant data
 Dedicated team to build data pipelines and products
Provide high-quality fit for purpose data
to as many people as possible
Data Strategy & Governance
Black
Grey
White
Gold
QUANTITY
QUALITY

18. Specialized Data Hunting Unit finds relevant new data sources
Employees in Munich
and North America
Company data Consumer data
Infrastructure
Energy
Cyber
Supply-Chain
Credit
Tasks of Data Hunting Unit
 Ideation of potential use cases
 Identification of business owner and marketing
 Data search, preparation and ingestion
 Cooperation with large data providers,
start-ups and large internet platforms
Find relevant data to support traditional and
new growth opportunities

19. Systematic up-skilling in Data Science & Data Engineering
Data Analytics Curriculum Training on the job
IV
Level
III
Level
II
Level
I
Level

20. 2018