Powerpoint exploring the locations used in television show Time Clash
1. The Importance of Graphs in Government
1. Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
1
The Importance of Graphs in
Government
Dave Packer,
Vice President, Product Marketing, Neo4j
2. Neo4j, Inc. All rights reserved 2021
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Intelligent Applications
The Forefront of Transformation
Real-time, streaming data sources
Cloud Computing AI / Machine Learning Data + Analytics Convergence
Harnessing data-context for deeper agency insights,
discoveries, agile decisions, and innovation
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As Valuable as the
Data Itself
Connections
Enhance Context
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Data Connections are the
Foundation for Modern, Intelligent Applications
Personalization
Product Recommendations
Personalized Health
Media and Advertising
Decision Analysis
Fraud Prevention
Network Analysis
Forecasting
Massive
Data Integration
Customers/Data 360
Compliance
Optimize Operations
Data Science
AI & ML
Behavior Prediction
Patient/Customer Journey
Disambiguation
Data Driven
Discovery & Innovation
Drug Discovery
Intelligence & Security
Product & Process Innovation
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“Finding relationships in combinations of
diverse data, using graph techniques at
scale, will form the foundation of
modern data and analytics.”
Top 10 Trends in Data and Analytics, 11 May 2020, Rita Sallam et al.
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Graph: Experiencing Lightspeed Adoption
Graph database is the fastest growing DBMS category
Developers
200k+
Meetups
72k+
Graph Database
(DB-Engines)
#1
Database
(DB-Engines)
Top 20
Neo4j Downloads
2.0 Mil
Docker Pulls
144 Mil
Deployment in the Cloud
90%+
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Graph: Encapsulates Data and its
Connections Natively and Intuitively
Networks of People Transaction Networks
Bought
B
ou
gh
t
V
i
e
w
e
d
R
e
t
u
r
n
e
d
Bought
Knowledge Networks
E.g., Risk management,
Supply chain, Payments
E.g., Employees, Customers,
Suppliers, Partners,
Influencers
E.g., Enterprise content,
Domain specific content,
eCommerce content
K
n
o
w
s
Knows
Knows
K
n
o
w
s
Pl
ay
s
Lives_in
In_sport
Likes
F
a
n
_
o
f
Plays_for
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Relational
Store and retrieve data
Real-time, transactional storage & retrieval
Graph: Aligns to Today’s Data-Intelligence Needs
● Not well adapted to interconnected semi-structure
● Schema rigidity limits business agility
● Relationship queries require painful joins
● Practically limited to three degrees of separation
NoSQL
Aggregate and filter data
Long running queries aggregation & filtering
● Built to scale simple data (store & retrieve)
● No language or structures for handling relationships:
joins done through the application
● Lack of ACID makes graph transactions impossible
Graph Databases
Optimize connections in Data
Real-Time Connected Insights
● Data model purpose-built for connections
● Powerful balance of schema flexibility & structure
● Highly powerful & productive query language
● Queries run up 1000x faster at scale
MATCH (boss)-[:MANAGES*0..3]->(sub),
(sub)-[:MANAGES*1..3]->(report)
WHERE boss.name = “John Doe”
RETURN sub.name AS Subordinate,
count(report) AS Total
Less time writing queries!
Less time debugging queries!
Code that’s easier to read!
Development Ease
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Our Customers Are Solving
Complex And Valuable Problems
With Graphs ...
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Graphs in
Government
Planning
Lessons
Learned
Dependency
Management
Consolidation
Research
Exploration
Environment
Science &
Education
Risk
Anti-Money
Laundering/Fraud
Ownership
Oversight
Law
Enforcement
Security
Cyber
Security
Intelligence
Asset &
Inventory
Management
Supply
Chain
Network & IT
Operations
Resource
Mgmt.
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Neo4j Government Use-Cases
Lockheed Martin
Product 360
Space division integrated disperse process
and product data
• Combined data from various silos and created a
360 view of the entire lifecycle of products
• Significantly optimized dependencies and
supply schedules
Modernization of procurement, budget and
logistics processes for equipment & spare parts
• Shed cost estimation times by 88%
• Improved parts delivery timing and accuracy
• DBA labor required dropped by 77%
US Army / Calibre Systems
Predictive Maintenance
Improving the efficiency in finding
fraudulent business relationships
• Built a powerful, explainable AI tool to
contextualize business life cycles and provide
machine-generated insights
• Reduced VAT deficit by 1B Krone in the first
year
Danish Business Authority
Fraud Detection
12. Remote Workers
Create New Demands
on Data
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“Using Neo4j, someone from our Orion
project found information from the
Apollo project that prevented an issue,
saving well over two years of work
and one million dollars of taxpayer
funds.”
David Meza
Chief Knowledge Architect
NASA
Relevant Knowledge for
Smarter Savings
Credit: NASA
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Money Laundering & Tax Evasion
● Billions of dollars are lost every year
● Funds “traveling” across a network of
parties is highly complex
● Requires a technology that analyzes
connections in data (often even in
real-time)
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Money
Laundering
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Example:
The Cali Cartel
Money Laundering
Scheme
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Law
Enforcement
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Investigation and Research
● Information is often stored in many
different databases, with no easy way
of search and access it.
● LE-agents need to access several of
these databases to gather information
on a single suspect or a location of
interest.
● Huge disadvantage not to have the
connections between data points
readily apparent
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Use Case:
Information and Data
Synchronization in Law
Enforcement
Law Enforcement Agencies can
model the information into graphs
to improve efficiency and make
direct and implicit patterns readily
apparent in real time.
A suspect often appears in several
different databases
Financial records
Convictions
Addresses
Vehicles
Traffic
cameras
Arrests
Police Reports
Agency Records Public Records Traffic Records
Appears_in
Has
H
a
s
H
a
s
Owns Registered
SUSPECT
Has
The Graphs In Government
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Security
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● Intelligence officers need to extract
insights from connections within
massive-scale data sets, often of
various types data
● Decisions often need to be made in
real-time
● Disparate types of data (i.e. people,
locations) requires high flexibility
● The sensitivity of the data requires
complex structures of entitlement and
access between individuals and
agencies.
Graphs in Intelligence and Security
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• Border Patrol
• Anti-terrorism & Security
• Cyber Crimes
Several countries use graphs for real-time and analytical
capabilities in relation to customs and border
enforcement.
Security and intelligence is the practice of extracting
insights from massive-scale data, often from various
data-sources and in real-time. Deep search is crucial
when dealing with complex situations with many
people, such as smuggling, trafficking, and
port-of-entry ingress/egress.
Typical use cases:
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Graphs in Intelligence and Security
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The Neo4j Graph Data Platform
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Development
&
Administration
Analytics
Tooling
Graph
Transactions
Data Integration
Graph
Analytics
Discovery & Visualization
Drivers & APIs
AI
AI
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The Neo4j Graph Data Platform
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Development
&
Administration
Analytics
Tooling
DEVELOPERS
ADMINS Graph
Transactions
Data Integration
Graph
Analytics
Discovery & Visualization
Drivers & APIs
APPLICATIONS
AI
AI
21. Neo4j, Inc. All rights reserved 2021
The Neo4j Graph Data Platform
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Development
&
Administration
Analytics
Tooling
BUSINESS USERS
DEVELOPERS
ADMINS Graph
Transactions
Data Integration
Graph
Analytics
Discovery & Visualization
DATA
ANALYSTS
DATA
SCIENTISTS
Drivers & APIs
APPLICATIONS
AI
openCypher &
ISO GQL
Cloud
AI
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Why Neo4j for your next Government Project?
Flexible &
Powerful Arch.
Schema flexibility,
real-time performance,
built for enterprise-scale
production environments.
Self-hosted and cloud
offerings.
Enterprise
Proven, Trusted
Deployed globally in
mission-critical production
environments. ACID
compliant with granular
security for the most
stringent use-cases
Community &
Ecosystem
Largest graph developer
community over 200,000+
members, and strong
partnerships w/ leading
integrators and cloud
providers
Graph
Expertise
Pioneered Graph DBs,
supporting 1000s of
customer engagements,
major contributor to
graph industry standards
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To Learn More Visit:
neo4j.com/use-cases/government/
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Neo4j, Inc. All rights reserved 2021
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Thank you!
Q&A