The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies.

1. _Competitive Advantages with
Knowledge Graphs and
Graph Technology
September 24, 2019

2. Axel Morgner
Co-Founder / Managing Director
Structr GmbH

3. Contents
_ About us
_ Graph Technology
_ Knowledge Graphs
_ Examples and Competitive Advantages

4. About us
Structr GmbH | Mission Statements | Customers & Clients

5. The
Structr Team

6. Mission Statements
Graph Technology for People Create Tools You Enjoy Working With
Support organizations in their digital
transformation through graph technology.
Make software development efficient, predictable
and hassle-free with user-friendly software tools.

7. From Foundation until Today
_ Emerged 2010 from the open source project Structr
_ Founded 2011 as Morgner UG (limited liability)
_ Renamed Structr GmbH in 2015
_ Headquarters in Frankfurt am Main
_ Currently 11 employees at two locations

8. Business Areas
_ Company behind the Structr Graph Application Platform
_ Individual software development
_ Software projects
_ Graph Technology Consulting

9. Customers & Clients

10. Graph Technology
History | Trend | Evolution

11. Graphs
The Best
Abstraction

12. Graphs
The Best
Abstraction
_ Abstraction of the real world
_ Abstraction of physical objects
_ Abstract concepts and relations
_ Interactions
_ Relations of all kind

13. Seven Bridges of Königsberg
Leonard Euler (1736)
Graphs
The Best
Abstraction

14. Graphs
The Best
Abstraction

15. Graphs
The Best
Abstraction
A D
C
B

16. Graphs
The Best
Abstraction
A D
C
B

17. Euler (1736)
About 250
years later...
ERM (1970s) UML (1990s) RDF (2000s)
Graphs
The Best
Abstraction
A D
C
B

18. Trend: Graph Databases

19. But Why?
? ?
? ?

20. Two Reasons:
? ?
Simplification Technology

21. Simplification & Technology
Property Graph Model (Native) Graph Database

22. Graph Database

23. Graph Technology: The Ideal Implementation
_ Simple and intuitive (“Whiteboard-friendly”)
_ Fewer technical layers
_ Fast queries without join operations
_ Flexible (schema-less)

24. Evolution or (Graph) Use Cases
Complexity
Data Volume
Content Management
Recommendation Engines
Social Networks
Network Operations
Master Data Management
Decision Trees
Configuration Management
Internet of Things
Risk Management
Artificial Intelligence
Fraud Detection
Machine Learning
Contextual Learning
Knowledge Graphs
Natural Language Processing
Systems become more and more intelligent

25. Evolution of Graph Technology
API API API API API
Query
Language
Query
Language
Query
Language
Query
Language
ETL ETL ETL
Applications Applications
AnalyticsVisualization
DriversAdmin
AnalyticsVisualization
DriversAdmin
Application and
Integration Platform

27. _ Software applications defined as graph
_ Flexible, semantic meta data model
_ 100% freedom for developers
_ Zero deployment time
_ Integrated security system (users, groups, roles)
_ Integrated content and document management
_ Web IDE
Structr - The Graph Application Platform

28. Tools You Enjoy Working With

29. Knowledge Graphs
Trend | Definition

30. 2018 2019

31. Knowledge + Graphs
Traditional Databases
Graph Databases
Graph Technology
Applications

32. Examples
Use Cases | Competitive Advantages

33. Anti-Money Laundering
_ 2,000 billion USD worldwide (est.)
_ 100 billion EUR Germany only (est.)
_ Worldwide and widespread
_ Correlates with other illegal activities

34. Enterprise Data Management

35. Conclusion

36. Conclusion
_ Use Graph Technology to build Knowledge Graph Apps to make a positive impact on your organization.

37. Questions?

38. Thank You!
_ structr.com
_ github.com/structr/structr
_ twitter.com/structr
_ linkedin.com/company/structr