GraphSummit 2022

1. © 2022 Neo4j, Inc. All rights reserved.
© 2022 Neo4j, Inc. All rights reserved.
1
The Data Platform for
Today’s Intelligent
Applications

2. © 2022 Neo4j, Inc. All rights reserved.
2
Worldwide supply chain problems

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Supply chain problems are data problems...
75%
938
of Fortune 1000 had a T1-2 supplier
impacted by the pandemic
Good forecasts are just
less bad forecasts
of executives aren’t confident in
their data quality

4. © 2022 Neo4j, Inc. All rights reserved.
Customer Relationship Management • Supply Chain Management • Manufacture Resource Planning • Finance • Human Resources
Ordering / Support / Customer 360 / Websites / Apps / Etc…
Data silos often hide
valuable context Partners Field/Sales Users Customers
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• Organic evolution of systems
leads to rigid, often single-intent
data models
• Adapting for analytics, ML and
real-time decisioning is overly
complicated, time consuming
• Limited ability to see timely
patterns and trends that are not
already baked into the model

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5
Figuring out how to extract the deeper context from
data has led to disruptive business transformations

6. © 2022 Neo4j, Inc. All rights reserved.
Neo4j, Inc. All rights reserved 2022
6
Figuring out how to extract the deeper context from
data has led to disruptive business transformations
And it’s not just supply chains that
are transforming...
The rise of
social graphs
PageRank
revolutionizes
search
Secure and transparent
peer-to-peer
transactions
Personalization
Drug Discovery

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Graph technology unifies data relationships in a more
intuitive, connected state, unlocking deeper context
People
E.g., Employees, Customers,
Suppliers, Partners, Influencers
Transactions
E.g., Purchases, Payments,
Bookings, eCommerce
Knowledge
E.g. Enterprise / Domain content,
Risk Management, Supply Chain
Shifting from data-driven to intelligence-driven

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Graph technology is fueling discovery and
transformation in every field
Decision
Analysis
Customer
Experience
Data
Unification
Personalization Discovery
Fraud Prevention
Network Analysis
Forecasting
Patient/Customer Journey
Behavior Prediction
Data Disambiguation
Operations Optimization
Customers/Data 360
Compliance
Product Recommendations
Media and Advertising
Personalized Health
Drug Discovery
Product/Process Innovation
Intelligence & Security
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Since 2013
100m+ Neo4j Downloads
250k+ Community Members
Graph DB
Source: DB Engines
The Fastest Growing Database Market for a Decade

10. © 2022 Neo4j, Inc. All rights reserved.
Neo4j, Inc. All rights reserved 2022
“By 2025, graph technologies will be
used in 80% of data and analytics
innovations, up from 10% in 2021…”
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Jim Hare et al., Understanding When Graph Analytics Are Best for Your Business Use Case, 10 Apr
2022.

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for Graph Data Platforms, Q4 2020
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The Forrester Wave™
Neo4j: The Leader in a
Vibrant, Growing Market
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The Graph Data Platform
Market Leader
1 Enterprises with >$1B annual revenue
2
Source: DBEngines
● HQ in Silicon Valley, offices include Boston,
London, Paris & Malmö (R&D HQ)
● Over 300 Global Enterprise1
Customers
800+ Total Customers
● Category creator and leader in Graph
Databases, the fastest growing category2 in all
of data management
Funding
$390M
in 2021
700+
Employees
Growing at
50%+
YoY
100M+
Downloads
80%+
Active Developers YoY Growth
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#1 Most Popular
Graph Database with Developers
200k+
Developers

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75+
Insurance
of the Top 10
8
Banks
of the Top 20
North American
20
Automakers
of the Top 10
8
Retailers
of the Top 10
7 Telcos
of the Top 10
7
Hotels
of the Top 5
3
Aircraft
Manufacturers
of the Top 5
3
Pharmaceuticals
of the Top 5
5
13

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14
Cloud
Global
Systems Integrators
Solutions
Technology
A Global Ecosystem of Partners

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The Neo4j Graph Data Platform
Analysts
Visualization
Other
Data Stores
Developers
Application Development
Data-Scientists
Predictions
Transactions Analytics
Graph Database Graph Data Science
Integrated AI/Machine
Learning
Data
Integrations
&
Connectors
Admin
Cypher
Drivers
&
APIs
Dev
Tools
Query
Browser
GraphQL
Application Layer: Digital Twin, Recommendation, Fraud Detection, Cybersecurity, …
Analytics & AI/Machine Learning Pipelines

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Market Leading Innovation & Capabilities
Scalability &
Performance
Neo4j Fabric delivers
unbounded graph size, with
linear write-through, and
constant read performance
SSO, Dedicated VPC,
fine grained Fine-
grained Role- and
Schema-based
Access Controls,
multiple compliance
accreditations
Robust Security
In-Memory
Graph Processing
Only market offering to
provide in-graph, massively
parallel algorithms, and
machine learning
capabilities
Operational &
Analytical Workloads
Mature graph-native
database architecture --
unique to Neo4j, provides
near real-time transactions,
ACID compliance, and
analytical processing
Transactions Analytics

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Built on battle-tested infrastructure
and trusted Neo4j platform
FAST FLEXIBLE RELIABLE EASY
Coming Soon
Fully-managed Cloud Service
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“Increasingly we’re learning
that you can make better
predictions about people by
getting all the information from
their friend and their friends’
friends than you can from the
information you have about the
person themselves.”
– Dr. James Fowler

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Graph Data Science
Rather than just crunching numbers like
traditional analytics, Graph Data Science
analyzes data relationships and data
structures...
... to produce answers, insights, and
predictions
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20. © 2022 Neo4j, Inc. All rights reserved.
Neo4j, Inc. All rights reserved 2022
20
“By 2025, context-driven [i.e. graph]
analytics and AI models will replace
60% of existing models built on
traditional data.”
Top 10 Tech Trends in Data and Analytics 2022, 11 Mar 2022, Afraz Jaffri, et al.

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Neo4j: Powering Impactful Solutions Across Industries
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Fraud Detection, AML
Concentration risk, Direction flows, Unusual
patterns to solve AML and fraud prevention
Use Neo4j in their AML and fraud practice
for their global clients sensitive about
security and reliability.
“...enabling our team to focus on rapid
prototyping… Aura lives up to the assurance, trust
and security demanded by highly regulated
sectors.”
“The schema flexibility and analytical
capabilities of Neo4j allow us to see
relationships between manufacturing batches
that simply would not be possible with other
tools.”
“In graph databases, the structures between data are
in the foreground. From them, we can extract the
truly relevant context for the customer and for us."
Real-Time Recommendations
Hundreds of thousands of website actions a day,
conduct detailed structural analysis for real-time
recommendations
User journey analysis provides relevant product and
content recommendations. Optimization of website,
including search and navigation
Customer 360
Need to better understand customers, former
relational data analytical solutions were too limited
and too compute intensive
Over ~€2m business value has been identified,
as well a sharp increase in portfolio quality has
been achieved due to minimizing fraud activity.
“Over the course of two years, €2 millions of
operational profit value was identified. This value is
even structurally underestimated.”

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