Fredrik Johansson, Neo Technology GraphDay Stockholm 25.2.2016

1. Welcome
to the
Stockholm GraphDay!

2. Agenda
9.30-9.45 Welcome!
9.45-10.15: Graph databases in a Digital Economy
10.15-10.45 Graphs in the Real World - Top Use Cases
Break
11.15-12.00 Neo4j in Practice - exploring a Fraud use case
12.00-12.30 Hästens & NetConsult + Digitization and optimising business
performance with Neo4j

3. Agenda
12.30-13.45 Lunch!
13.45-16.30 Training Sessions
13.45-16.30 Graph Clinics!

4. CONNECT!
Don’t be a lonely document!
#graphday
#neo4j
WIFI = Konferens-7A
Code: konferens786

5. Driving Digital Transformation With Neo4j
GRAPHS IN THE REAL WORLD
Stockholm, February 25, 2016

6. WHAT IS A GRAPH?

7. A Graph Is

8. ROAD
TRAFFIC
LIGHTS
A Graph Is
HAS
HAS

9. HAS
AVAILABLE
HOTEL
ROOMS
AVAILABLE
A Graph Is

10. KNOWS
KNOWS
KNOWS
WORKS_AT
WORKS_AT
WORKS_AT
COMPANY
STANFORD
STUDIED_AT
KNOWS
NEO
COLUMBIA
STUDIED_AT
STU
D
IED
_AT
STUDIED_AT
NAME:ANNE
SINCE:2012
A Graph Is

11. NAME:ANNE
SINCE:2012
A Graph Is

13. Use of Graphs has created some of the most successful companies in the world
C
34,3%B
38,4%A
3,3%
D
3,8%
1,8%
1,8%
1,8%
1,8%
1,8%
E
8,1%
F
3,9%

14. WHAT IS A GRAPH
DATABASE?

15. A way of storing data
DATA DATA

16. Relational
Database
Good for:
A way of storing data
• Pre-computed
• Pre-determined purpose
• Limited context
• Static

17. Graph
Database
Relational
Database
A way of storing data
Good for:
• Pre-computed
• Pre-determined purpose
• Limited context
• Static
Good for:
• Real-time
• Dynamic structure
• Highly contextual
• Flexible and scalable

18. GRAPHS IN THE
REAL WORLD

19. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

20. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
VIEWED
GRAPH THINKING:
Real Time Recommendations
VIEWED
BOUGHT
VIEWED
BOUGHT
BOUGHT
BOUGHT
BOUGHT

21. “As the current market leader in graph databases,
and with enterprise features for scalability and
availability, Neo4j is the right choice to meet our
demands.” Marcos Wada
Software Developer, Walmart
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

22. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Master Data Management
MANAGES
MANAGES
LEADS
REGION
M
ANAG
ES
MANAGES
REGION
LEADS
LEADS
COLLABORATES

23. Neo4j is the heart of Cisco HMP: used for governance
and single source of truth and a one-stop shop for all
of Cisco’s hierarchies.
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

24. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
O
PENED_ACCO
UNT
HAS
IS_ISSUED
GRAPH THINKING:
Fraud Detection
HAS
LIVES
LIVES
IS_ISSUED
OPENED_ACCOUNT

25. “Graph databases offer new methods of uncovering
fraud rings and other sophisticated scams with a
high-level of accuracy, and are capable of stopping
advanced fraud scenarios in real-time.”
Gorka Sadowski
Cyber Security Expert
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

26. GRAPH THINKING:
Graph Based Search
PUBLISH
INCLUDE
INCLUDE
CREATE
CAPTURE
IN
IN
SOURCE
USES
USES
IN
IN
USES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
SOURCE SOURCE

27. Uses Neo4j to manage the digital assets inside of its next
generation in-flight entertainment system.
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

28. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
BROWSES
CONNECTS
BRIDGES
ROUTES
POWERS
ROUTES
POWERS
POWERS
HOSTS
QUERIES
GRAPH THINKING:
Network & IT-Operations

29. Uses Neo4j for network topology analysis
for big telco service providers
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

30. GRAPH THINKING:
Identity And Access Management
TRUSTS
TRUSTS
ID
ID
AUTHENTICATES
AUTHENTICATES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
O
W
NS
OWNS
CAN_READ

31. UBS was the recipient of the 2014
Graphie Award for “Best Identify And
Access Management App”
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

32. Neo4j Adoption by Selected Verticals
SOFTWARE
FINANCIAL
SERVICES
RETAIL
MEDIA &
BROADCASTING
SOCIAL
NETWORKS
TELECOM HEALTHCARE

33. GRAPHS ARE EVERYWHERE!

34. Social Recommendations
Dating

35. INTERESTED_IN
WORKS_AT
HAS
KNOW
S
LIVES_IN
STUDIED_AT
PREFER
WATCH
LISTENS_TO
MATCH
HASHEIGHT
DATAPOINTS
Location
Education
Age
Interests
Friends of friends
Taste in music
Work place
Pictures
Height
Intent
Social Recommendations
Dating

36. DATAPOINTS
Location
Education
Age
Interests
Friends of friends
Taste in music
Work place
Pictures
Height
Intent
Social Recommendations
Dating

37. Routing Recommendations
Navigations & Maps

38. Routing Recommendations
Navigations & Maps
HAS_SPEED_LIMIT
IS_OCCURING
HAS
BEST_ROAD
TRAVEL_BY
TRAVEL_BY
TRAVEL_BY
HAS
REPORTS_OF
HAS
DATAPOINTS
Location
Traffic jams
Subway schedules
Road works
Special Circumstances
Tolls
Form of transportation
Weather
Speed limits
Traffic lights

39. Dynamic Pricing
Hotels

40. HAS_AVAILABILITY
PURPOSE_OF
EXPIRES_AT
SIZE_O
F
HAS_FEATURES
HAS_SEASON
PRICE_OF
IS_OCCURING
PURPOSE_OF
HAS
HOTEL
Dynamic Pricing
Hotels
Example Datapoints
Location
Availabilty
Price of competitors
Features
Special Circumstances
Events
Purpose
Timing
Size of booking
Seasons

41. Personalization
Broadcasting

42. Example Datapoints
Previously watched
Time of day
Friend’s preferences
New releases
Actors
Genres
Directors
Season
Day of the week
TIME OF
DAY
FRIEND’S
PREFERE
NCES
DAY OF
THE WEEK
ACTORS
DIRECTOR
SEASON
RATINGS
JUST
RELEASE
D
GENRES
RECOMMENDATION_FOR
Personalization
Broadcasting

43. Social networks RetailHR &
Recruiting
Manufacturing
& Logistics
Health Care Telco
Find your graph project!
Finance

44. THANK YOU!