Rik Van Bruggen, Neo Technology

1. Welcome to the Neo4j Partner Day!
Amsterdam, March 16th, 2017
rik@neotechnology.com

2. 10:30 - 11:00 - Registration & Networking
11:00 - 11:45 - Business potential for Graph Database Partners, Rik Van Bruggen,
Neo Technology
11:45 - 12:30 - Real world applications with Neo4j, Kees Vegter, Neo Technology
12:30 - 12:45 - Neo4j Partner Program Overview, Erik Nolten, Neo Technology
12:45 - 13:00 - Q&A
13:00 - 14:00 - Lunch & Networking
AGENDA:

3. Business Potential for Partners
with
rik@neotechnology.com

4. Complexity

5. The Internet (oT)

6. Life

7. Domain Model Logistics Process

8. Traditional Approach: Fixed Schema, Tables

9. Graph Model: Nodes & Relationships
Container
Load
USING_CARRIER
Vessel
Physical
Container
Container
Load
Shipment
Carrier
Emission
Class A
Shipment
Carrier
Route
10520km
Route
823km
Fueling
Max Wgt 80
Type Gas B
Town:
Tokyo
Town:
Hong Kong
Town:
Hamburg
Container
LoadContainer
LoadContainer
Load
Parcel
Weight
15.5kg

11. Intuitiveness

12. A Naturally Adaptive Model vs Fixed Schema
Flexibility

13. “We found Neo4j to be literally thousands of times faster
than our prior MySQL solution, with queries that require
10-100 times less code. Today, Neo4j provides eBay with
functionality that was previously impossible.”
- Volker Pacher, Senior Developer
“Minutes to milliseconds” performance
Queries up to 1000x faster than other tested database types
Speed

14. The Business Case for Graph Databases
rik@neotechnology.com

15. Discrete Data
Minimally
connected data
Neo4j is designed for data relationships
Other NoSQL Relational DBMS Neo4j Graph DB
Connected Data
Focused on
Data Relationships
Development Benefits
Easy model maintenance
Easy query
Deployment Benefits
Ultra high performance
Minimal resource usage
Use the Right Database for the Right Job

16. db-engines.com: Trend of DBMS categories

17. Innovation
to be able to do things that were
previously impossible

18. REAL-time
to be able to do things immediately that
were previously done overnight

19. AGILE
to be able to do things in a
flexible and adaptable way,
that is ready for the future

20. COST-efficient
require less hardware, less software,
less bugs, less maintenance to deliver
connected applications

21. WHY do BUSINESS with
rik@neotechnology.com

22. 2000 2003 2007 2009 2011 2013 2014 20152012
GraphConnect,
first conference for
graph DBs
First
Global 2000
Customer
Introduced
first and only
declarative query
language for
property graph
Published
O’Reilly
book
on Graph
Databases
First
native
graph DB
in 24/7
production
Invented
property
graph
model
Contributed
first graph DB
to open
source
Extended
graph data
model to
labeled
property
graph
150-200+ customers
50-60K+ monthly
downloads
500-600 graph
DB events
worldwide
Neo4j: The Graph Database Leader
2016 2017 and beyond
OpenCypher
Industry partnerships
Neo4j 3.X
250+ customers
65K+ monthly
downloads
Partner focus

23. “Forrester estimates that over 25% of enterprises will be using graph
databases by 2017”
“Neo4j is the current market leader in graph databases.”
“Graph analysis is possibly the single most effective competitive
differentiator for organizations pursuing data-driven operations and
decisions after the design of data capture.”
IT Market Clock for Database Management Systems, 2014
https://www.gartner.com/doc/2852717/it-market-clock-database-management
TechRadar™: Enterprise DBMS, Q1 2014
http://www.forrester.com/TechRadar+Enterprise+DBMS+Q1+2014/fulltext/-/E-RES106801
Graph Databases – and Their Potential to Transform How We Capture Interdependencies (Enterprise Management Associates)
http://blogs.enterprisemanagement.com/dennisdrogseth/2013/11/06/graph-databasesand-potential-transform-capture-interdependencies/
Neo4j Leads the Graph Database Revolution

24. 2012 à 2017
May 10th-11th, London
CONFERENCE
+
TRAINING

25. SOFTWARE FINANCE RETAIL MANUFACTURING
more
SOCIAL
TELECOM
MEDIA
HEALTHCARE

26. Dutch customers include

27. Graph Based Success

28. Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Knowledge
Management
Graph Based
Search
Identity & Access
Management
Common Graph Use Cases

29. Background
• Amsterdam-based global leader in mapping
and navigation products
• 4000 employees and 56 offices in 37 countries
• Offers GPS and map service, plus consumer,
automotive, licensing, telematics products
and devices
Solution and Benefits
• Added Neo4j to existing architecture to power
real-time routing algorithm
• Embedded high availability Neo4j with semantic
layer on top; core routing algorithms in Java
• Average response fell from 40 to 5.2 seconds,
with 100% RAI violations detected
TomTom CONSUMER AND TRAVEL PRODUCTS
Real-Time Routing and Recommendations 29
Business Problem
• Optimize Restricted Access Island (RAI) algorithm
to make better route recommendations
• Need efficient geospatial index to speed routing
• Maintain high performance and scale to handle
request volumes

30. Internet of Things
Business Problem
• Support complex operational infrastructure
collects, records and manages weather data
across a wide network
• Integrate with Splunk system that monitors
remote instruments
• Use graphs to query instrument network
Solution and Benefits
• Neo4j analyzes dependency graphs to produce
exception reports
• Neo4j and SPLUNK integrated tightly
• Solution has enabled KNMI to re-architect and
rebuild their entire operational infrastructure
Background
• The Royal Netherlands Meteorological
Institute (KNMI)
• Dutch national service with 1100+ weather
measurement locations
• Monitors and forecasts weather, climate,
air quality and seismic activity
Royal Netherlands Meteorological Institute SCIENCES
30

31. Adidas Shared Meta Data Service
31 Knowledge Management
Background
• Global leader in sporting goods industry services
firm footware, apparel, hardware, 14.5 bln sales,
53,000 people
• Multitude of products, markets, media, assets and
audiences
Business Problem
• Beset by a wide array of information silos including
data about products, markets, social media, master
data, digital assets, brand content and more
• Provide the most compelling and relevant content to
consumers
• Offering enhanced recommendations to drive
revenue
Solution and Benefits
• Save time and cost through stadardized access to
content sharing-system with internal teams, partners,
IT units, fast, reliable, searchable avoiding
reduandancy
• Inprove customer experience and increase revenue by
providing relevant content and recommentations

32. Background
• Mid-size German insurer founded in 1858
• Project executed by Delvin, a subsidiary
of die Bayerische Versicherung and an IT insurance
specialist
Business Problem
• Field sales needed easy, dynamic, 24/7 access to
policies and customer data
• Existing DB2 system unable to meet performance
and scaling demands
Solution and Benefits
• Enabled flexible searching of policies and
associated personal data
• Raised the bar on industry practices
• Delivered high performance and scalability
• Ported existing metadata easily
Die Bayerische Versicherung INSURANCE
Knowledge Management33

33. Background
• Leading European Airline
• 100+ mln passengers
• 2+ mln tons freight per year
• 700+ aircrafts
Business Problem
• Need for flexible high performant Inflight Asset
Management, onboard entertainment, byod
• Complex data set: CMDB, CMS, Aircraft data feed,
media library
• Maintain individual configuration for each Aircraft
• Complex data model, aircrafts, hardware, vitual
containers, licenses, business rules, versions,
content ...
Solution and Benefits
• Neo4j powers integrated platform that provides fast
access to all aspects needed to maintain complex
system
• Fast implementation
• Higly flexible data model enable constant evolution
Lufthansa Digital Asset Mangagement
34 Graph Based Search, Knowledge Managment

34. Background
• Toy Manufacturer, founded 80+ years ago, plastic
figurines sold in 50+ countries
• 100 Mio, 250 employees
• Production Process in different countries like China
• Polymer Processing, Children‘s toys, high
responsibility
Business Problem
• Product related data stored in many different data
stores including SAP, Navision, Laboratory
Systems, Document Systems, Powerpoint, Excel..
• Hard to find correct answers for authorities, ,
internally, parents
Solution and Benefits
• Neo4j powers integrated platform that provides
visibility across whole supply chain
• Domain Experts create and evolve data model
• Correct answers within seconds
Schleich Product Information Management
35 Knowledge Management

35. Related products
People who bought X
also bought Y
The main
product
Recommendations (In Real-Time)

36. KITCHEN
AID
SERIES

37. Returns
Purchase History
Price-range
Home delivery
Inventory
Express goods
Complaints
reviews
Tweets
Emails
Category
Promotions
Bundling
Location
KITCHEN
AID
SERIES

39. Business Problem
• Optimize walmart.com user experience
• Connect complex buyer and product data to gain
super-fast insight into customer needs and
product trends
• RDBMS couldn’t handle complex queries
Solution and Benefits
• Replaced complex batch process real-time online
recommendations
• Built simple, real-time recommendation system with
low-latency queries
• Serve better and faster recommendations by
combining historical and session data
Background
• Founded in 1962 and based in Arkansas
• 11,000+ stores in 27 countries with walmart.com
online store
• 2M+ employees and $470 billion in annual
revenues
Walmart RETAIL
Real-Time Recommendations40

40. Background
• One of the world’s largest logistics carriers
• Projected to outgrow capacity of old system
• New parcel routing system
Single source of truth for entire network
B2C and B2B parcel tracking
Real-time routing: up to 7M parcels per day
Business Problem
• Needed 365x24x7 availability
• Peak loads of 3000+ parcels per second
• Complex and diverse software stack
• Need predictable performance, linear scalability
• Daily changes to logistics network: route from any
point to any point
Solution and Benefits
• Ideal domain fit: a logistics network is a graph
• Extreme availability, performance via clustering
• Greatly simplified routing queries vs. relational
• Flexible data model reflect real-world data variance
much better than relational
• Whiteboard-friendly model easy to understand
Accenture LOGISTICS
41 Real-Time Routing Recommendations

41. Background
• San Jose-based communications equipment giant
ranks #91 in the Global 2000 with $44B in annual
sales
• Needed real-time recommendations to encourage
knowledge base use on company’s support portal
Solution and Benefits
• Faster problem resolution for customers and
decreased reliance on support teams
• Scrape cases, solutions, articles et al continuously
for cross-reference links
• Provide real-time reading recommendations
• Uses Neo4j Enterprise HA cluster
Business Problem
• Reduce call-center volumes and costs via improved
online self-service quality
• Leverage large amounts of knowledge stored in
service cases, solutions, articles, forums, etc.
• Reduce resolution times and support costs
Cisco COMMUNICATIONS
Real-Time Recommendations
Solution
Support
Case
Support
Case
Knowledge
Base Article
Message
Knowledge
Base Article
Knowledge
Base Article
42

42. Business Problem
• Extremly complex individual pricing calculations
• Moved from per month to per day calculation
• Former system too slow, too inflexible
Solution and Benefits
• Huge performance increase through replacement of
legacy system
• 4 Core Laptop, 6% CPU usage provides better
performance than 3 server 96 Core config with 80%
CPU usage à „mind-blowing“
• Overcame internal hurdles by using embedded,
application internal cache vs new database system
Background
• Largest Hospitality company worldwide
• 4.500+ hotels à 6.500 700.000 rooms à1.5 Mln
• 15 Bln eCommerce Sales 2015, #7 IDC rating
internet sales
Marriott Hospitality
Real-Time Recommendations43

43. Identity Relationship ManagementIdentity Access Management
Applications
and data
Endpoints
People
Customers
(millions)
Partners and
Suppliers
Workforce
(thousands)
PCs Tablets
On-premises Private Cloud Public Cloud
Things
(Tens of
millions)
WearablesPhones
PCs
Customers
(millions)
On-premises
Applications
and data
Endpoints
People

44. Background
• Oslo-based telcom provider is #1 in Nordic
countries and #10 in world
• Online, mission-critical, self-serve system lets
users manage subscriptions and plans
• availability and responsiveness is critical to
customer satisfaction
Business Problem
• Logins took minutes to retrieve relational
access rights
• Massive joins across millions of plans,
customers, admins, groups
• Nightly batch production required 9 hours and
produced stale data
Solution and Benefits
• Shifted authentication from Sybase to Neo4j
• Moved resource graph to Neo4j
• Replaced batch process with real-time login
response measured in milliseconds that delivers real-
time data, vw yday’s snapshot
• Mitigated customer retention risks
Identity and Access Management
Telenor COMMUNICATIONS
SUBSCRIBED_BY
CONTROLLED_BY
PART_OFUSER_ACCESS
Account
Customer
CustomerUser
Subscription
45

45. Background
• Top investment bank with $1+ trillion in assets
• Using a relational database and Gemfire to manage
employee permissions to research document and
application-service resources
• Permissions for new investment managers and
traders provisioned manually
Business Problem
• Lost an average of 5 days per new hire while they
waited to be granted access to hundreds of
resources, each with its own permissions
• Replace an unsuccessful onboarding process
implemented by a competitor
• Regulations left no room for error
Solution and Benefits
• Store models, groups and entitlements in Neo4j
• Exceeded performance requirements
• Major productivity advantage due to domain fit
• Graph visualization ease permissioning process
• Fewer compromises than with relational
• Expanded Neo4j solution to online brokerage
UBS FINANCIAL SERVICES
Identity and Access Management46

46. INVESTIGATE
Revolving Debt
Number of Accounts
INVESTIGATE
Normal behavior
Fraud Detection with Discrete Analysis

47. Revolving Debt
Number of Accounts
Normal behavior
Fraud Detection With Connected Analysis
Fraudulent pattern

48. Background
• Global financial services firm with trillions of
dollars in assets
• Varying compliance and governance
considerations
• Incredibly complex transaction systems, with ever-
growing opportunities for fraud
Business Problem
• Needed to spot and prevent fraud detection in real
time, especially in payments that fall within “normal”
behavior metrics
• Needed more accurate and faster credit risk
analysis for payment transactions
• Needed to dramatically reduce chargebacks
Solution and Benefits
• Lowered TCO by simplifying credit risk analysis and
fraud detection processes
• Identify entities and connections uniquely
• Saved billions by reducing chargebacks and fraud
• Enabled building real-time apps with non-uniform
data and no sparse tables or schema changes
London and New York Financial FINANCIAL SERVICES
Fraud Detection
s
49

49. Background
• Panama based lawyers Mossack & Fonseca do
business in hosting “letterbox companies”
• Suspected to support tax saving and organized
crime
• Altogether: 2.6 TB, 11 milo files, 214.000 letter box
companies
Business Problem
• Goal to unravel chains Bank-Person–Client–
Address–Intermediaries – M&F
• Earlier cases: spreadsheet based analysis (back-
and-forth) & pencil to extract such connections
• This case: sheer amount of data & arbitrarily chain
length condemn such approaches to fail
Solution and Benefits
• 400 journalists, investigate/update/share, 2 people
with IT background
• Identify connections quickly and easily
• Fast Results wouldn‘t be possible without GraphDB
Panama Papers Fraud Detection
Fraud Detection50

50. 10:30 - 11:00 - Registration & Networking
11:00 - 11:45 - Business potential for Graph Database Partners, Rik Van Bruggen,
Neo Technology
11:45 - 12:30 - Real world applications with Neo4j, Kees Vegter, Neo Technology
12:30 - 12:45 - Neo4j Partner Program Overview, Erik Nolten, Neo Technology
12:45 - 13:00 - Q&A
13:00 - 14:00 - Lunch & Networking
AGENDA:

51. Real World Applications
with
kees.vegter@neotechnology.com

52. The Partner Ecosystem
for
rik@neotechnology.com

53. Neo4j Partner program
Erik Nolten, Neo4j partners
erik.nolten@neotechnology.com

54. Sign up today @ Neo4j.com

55. Partner program options:
Neo4j Member Neo4j Solution Partner
Sales and Marketing Benefits
Revenue sharing on sold subscriptions
Neo4j Partner Logo Usage
Referal fee on sold new supcription
Listing on Partner Page
Partner Portal Access
Sales material and tools
Technical Support and Education
Access to Neo4j Support
Access to training and certification program
Training discount
Priority Support
Qualification and Partner Guidelines
Complete and submit Neo Partner Agreement
Two Annual new customer acquisition target
2 or more Certified Neo Consultants
Organize Neo4j events
Annual Partner Program Fee Free €1,500

56. Members vs. Solution Partners
• Member: new to Neo4j, focused on services only
• Solution Partner:
• Invest in technical skills (certification), marketing, sales, etc
• Multiple (repeatable) Neo4j projects
• Drive revenue with Neo4j
* requires partner agreement*
57

57. 58

58. Neo4j Training
59
Online & classroom training
available
Certification Exam
www.graphacademy.com
Or
https://neo4j.com/graphacademy/

59. Neo4j Partner Portal
60
Lots of resources
to help you
kickstart
your engagements
with Neo4j
https://partner.neo4j.com/

60. Lots of technical & other resources!

61. List of Partners: Europe (35)

62. Case Studies Library

63. Events, Developer Pages, Intro Videos ....

64. Contacts
Rik Van Bruggen
Regional Vice-President
rik@neotechnology.com
Kees Vegter
Pre-sales engineer
kees.vegter@neotechnology.com
Jonny Cheetham
Sales Manager
Jonny.cheetham@neotechnology.com
Erik Nolten
Partner Management
Erik.nolten@neotechnology.com

65. Let‘s work together...
Partner
Product
Project
SUCCESS!
Customer

66. A Closer Look at Neo4j Editions
Different Features
Different Support
Different Legal T&C’s

67. Q & A
rik@neotechnology.com

69. 10:30 - 11:00 - Registration & Networking
11:00 - 11:45 - Business potential for Graph Database Partners, Rik Van Bruggen,
Neo Technology
11:45 - 12:30 - Real world applications with Neo4j, Kees Vegter, Neo Technology
12:30 - 12:45 - Neo4j Partner Program Overview, Erik Nolten, Neo Technology
12:45 - 13:00 - Q&A
13:00 - 14:00 - Lunch & Networking
AGENDA: