Graphs in Government: Fulfilling Your Mission with Neo4j
Today’s government agencies – both at home and abroad – are beset by increasingly complex challenges within a more interconnected and ever-shifting political landscape. The technology solutions that ultimately overcome these challenges must harness the power of data connections.
Governments around the world already use graph technology to fight crime, prevent terrorism, improve fiscal responsibility and provide transparency to their citizenry. Often these solutions involve connecting data across different applications or repositories, spanning disparate processes and departments. A flexible, scalable and powerful graph database platform is required to quickly make sense of obscured, divergent data.
A graph database platform reveals data connectedness to achieve your agency’s mission-critical objectives – and so much more.
Using real-world government use cases, the Graphs in Government: Fulfilling Your Mission with Neo4j white paper explains how graph technology solves a broad range of problems that no other technology can.
Fast Track
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Case Study: Graphs Keep the Army Up and Running
Learn how Neo4j modernizes the U.S. Army's core procurement, budgeting and logistics processes for tracking and analyzing equipment maintenance. Read the Case Study
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How NASA Finds Critical Data through a Knowledge Graph
Learn how NASA uses Neo4j to develop a knowledge graph as part of its knowledge architecture to analyze lessons learned and save astronauts' lives. Read the Case Study
Read the Article -
Information Sharing for Enterprise Architects at the DHS
Discover how the U.S. Department of Homeland Security is implementing graph technology to share critical intelligence across teams.
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Cybersecurity Situational Awareness That’s More Scalable, Flexible & Comprehensive
Discover how the MITRE Corporation uses Neo4j to detect and deter cybersecurity attacks across a range of complex network environments and vulnerabilities.
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5 Uses Cases for Graph Technology
Learn more about how Neo4j helps the world make sense of data by identifying connections and plotting relationships otherwise unseen amidst never-ending streams of data.
Read the Brief -
5 Graph Data Science Basics Everyone Should Know Description
Learn the top five fundamentals of graph data science to better understand applications and benefits.
Read the eBook
Neo4j Keeps the U.S. Army Up and Running by Tracking & Analyzing Equipment Maintenance
Read about how the U.S. Army uses a Neo4j graph database to manage and track equipment maintenance across thousands of vehicles, parts and locations around the globe.
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How MITRE Uses Neo4j
With Neo4j, MITRE developed CyGraph, a tool that consolidates cybersecurity data – and its connections – into an ongoing overall picture for advanced analytics, decision support and situational awareness for government agencies.
Read the Case Study
LMCO Tackles Disparate Life Cycle Data with a Product 360 System
Learn how Lockheed Martin Space uses Neo4j graph database technology to create a Product 360 platform to integrate siloed life cycle data – from early scientific discoveries to final satellite deployments.
Read MoreNeo4j in Government
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Learn how graph technology powers national, state and local agencies
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Intelligence Agencies
Intelligence-gathering agencies in the U.S., Europe and the Middle East are using graph technology to reveal how affiliations, accounts, technology, activities and travel are intertwined to uncover suspicious behaviors.
Regional & Local Governments
Transparency in local government has recently become a cultural imperative across the globe. Progressive governments are turning to graph data models to link government services with existing communities, to project and evolve city planning initiatives, and to improve the lifestyles of their citizenry – all without increasing current tax revenues.
Revenue Collections
Tax collection agencies are using graph technology to more accurately identify candidates for audit or inspection. A very public example of this is the Panama Papers investigation led by the International Consortium of Investigative Journalists (ICIJ) which revealed widespread use of offshore accounts owned by shell corporations used to hide sizeable amounts of taxable income from governments worldwide.
Regulators
Regulation and compliance agencies use graphs to measure and enforce regulations across the business and social sectors, including GDPR, BCBS 239, FRTB and the Sarbanes-Oxley (SOX) Act.
Social Services
Social service programs are optimizing their payout and fighting fraudulent activities by improving service transparency using the graph data model.
Armed Forces
Military branches from several nations have adopted graph database technology to improve in-theater supply chain efficiency and resource delivery as well as to better understand local communities, customs and traditions during deployments.
Science & Exploration Agencies
Science and exploration agencies are using graph databases to maintain the institutional memory bank of their research. For example, NASA’s knowledge graph has already shaved two years off the Orion (mission to Mars) planning schedule because the agency was able to quickly retrieve lessons learned from their online graph archive.
Visual Overview: Granular Security
Why Intelligent Applications Need a Graph Database with Granular Security
Business Outcomes
Increase Tax Revenue
Graph technology is essential for rooting out tax evasion efforts – often hidden beneath complex and obscured layers of offshore shell companies – whether at home or abroad.
Increase Citizen Engagement
Improved social services and program transparency lead to a more engaged and informed citizenry at all levels of national, regional and local government.
Mitigate Risk
Graph-based tools are foundational in modern fraud detection, terrorism prevention and anti-money laundering (AML) activities.
Challenges
Real-Time Capabilities
No database technology handles complex queries as efficiently and fast as a native graph database, and in sensitive intelligence or military scenarios, every millisecond makes a difference between victory or failure.
Ability to Use Most Recent Data
No batch processing is required with a graph database when your application queries real-time transaction data.
Flexibility
Neo4j easily ingests and processes connections from multiple data sources, solving problems with data stored in disparate silos across – or within – government agencies.
Why Neo4j?
Native Graph Database
Unlike relational databases, Neo4j stores interconnected user data that is neither purely linear nor hierarchical. Neo4j’s native graph storage architecture makes it easier to decipher citizen or intelligence data by not forcing intermediate indexing at every turn.
Flexible Schema
Neo4j’s versatile property graph model makes it easier for government agencies to evolve real-time solutions – whether military, financial or scientific – as data types and sources change.
Performance & Scalability
Neo4j’s native graph processing engine supports high-performance graph queries on large user datasets to enable real-time decision making at every level of government.
High Availability
The built-in, high-availability features of Neo4j ensure user data is always available to your mission-critical applications.
Ready to get started?
Your government organization is driven by connections – now it’s time for your database to do the same. Click below to try out an instance of the Neo4j Online Sandbox or read the white paper to learn how graph databases harness the power of connections at today’s most cutting-edge government agencies.