GraphAware - Transforming policing with graph-based intelligence analysis

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© 2024 All Rights Reserved | GraphAware
Transforming policing with
graph-based intelligence
analysis
Petr Matuska

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GraphAware.
|
Hume
Petr
Matuska

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GraphAware.
|
Hume
About Us
GraphAware has been helping Neo4j
customers achieve success for over 10
years.
Since 2013, we've been pioneering the adoption of graph
technology across the globe.
We’ve written books and articles on how to apply graphs in law
enforcement, finance, cybersecurity, pharma and public sector.
We distilled our knowledge, experience and skills into Hume.

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GraphAware.
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Hume
● What is a graph database & why to use it in policing?
● What is Hume?
● How graphs solve policing data challenges

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GraphAware.
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Hume
● What is Hume?

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GraphAware.
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Hume
PERSON EVENT LOCATION
Relationships can have
properties (name/value pairs)
:INVOLVED
Date: 2008-01-01
{
Name: Amy Peters
Date_of_birth: 1984-03-01
{
Nodes can have properties
(name/value pairs)
Relationships can have
properties (name/value pairs)
{
:LOCATED_IN
{
Nodes can have properties
(name/value pairs)
Description: Homicide Case
Date: 2008-01-01
employee_count:1546

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GraphAware.
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Hume
Chart vs Graph
Chart Graph

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GraphAware.
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Hume
Chart vs Graph
Chart/Table Graph

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GraphAware.
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Hume
Chart vs Graph
Chart/Table Graph

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GraphAware.
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Chart vs Graph
Chart/Table Graph
Relational
Database
Graph
Database

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GraphAware.
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Hume
The world is connected
and should be modelled as a graph.

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GraphAware.
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Hume
Schema

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GraphAware.
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Hume
Consider the most common
intelligence analyses
They are graph based questions.
● Show me how person X and person Y are interconnected.
● Show me how this gang is sourcing their funds
● Show me the communication events between two individuals
● Who are the most influential parties within a criminal organisation?

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GraphAware.
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Hume
But wait. Can’t this be done with existing tools?

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GraphAware.
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Hume
Only if you are willing to accept some significant limitations
and these limitations are hindering you more and more with every
new data point added.

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GraphAware.
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● Tabular tools will not be able to efficiently return complex queries
● They will not be able to enable complex pathfinding and graph
algorithms needed
● They will be slow and provide a poor use experience
● They will not support integration of new data sources easily

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GraphAware.
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Hume
Finding Truth in Data

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GraphAware.
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Hume
● What is Hume?

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GraphAware.
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Hume
What is Hume?
Hume is a mission-critical graph
analytics solution that puts the
power of Neo4j native graph
performance in the hands of
intelligence analysts.
Hume provides a simple to use
interface that allows to build, search,
visualise and analyse graphs.

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GraphAware.
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Hume
Embracing Connected Data
Hume is fully graph based up and down the stack, making analysis more efficient and effective.
Advantages of Graph Data
● Easy to Integrate
● Flexible with respect to Schema
● Intuitive and Fast to Query (especially for
Complex Pattern Matching)
● Understandable and Explainable
● Ready for DS and ML
Business Outcomes
● Single View of Intelligence
● Rapid Capability Development
● Deeper Intelligence Analysis & complex Alerting
● Productivity and Collaboration
● Advanced Analytics and Insights

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GraphAware.
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Hume
● What is Hume?

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GraphAware.
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Hume
Challenges the intelligence teams face
Siloed data sources
There is no central store of data, or
curated views that have been put
together.
Siloed analytical tooling
There is no single tool used by
everyone for everything. Makes
collaboration difficult
Relational stores for
network analysis
Intelligence analysis requires
analysis at depth. This is difficult to
do with relational stores.
Manual analysis
Along the entire process is manual,
time consuming steps.
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GraphAware.
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Hume
Siloed data sources
Disconnected analysis
Analysts search through dozens of
data stores to find the information
they are looking for.
None of these data stores are
connected to one another.

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GraphAware.
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Hume
Intelligence holdings are ingested into
a graph, and made available in Hume.
Creating a single view of intelligence
for your analysts.
We make them Searchable and Connected.
Siloed data sources
→ single view of
intelligence

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GraphAware.
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Hume
Siloed analytical
capabilities
Analysis capabilities are often
conducted on multiple distinct
platforms leading to fragmented
analysis findings.
Geographic, network and temporal
analyses are often all done
separately.

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GraphAware.
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Hume
One canvas
Many analysis capabilities
On a single canvas understand the
when and where of crime, and
detect emerging trends within
criminal networks of interest.

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GraphAware.
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Using tables
to analyse criminal
networks
In truth, intelligence analysts have
been using graphs for decades.
But they have been doing this
without graph native tooling

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GraphAware.
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Discover unknown unknowns
across multi-hop queries via
pattern matching and path
finding in milliseconds.
Using tables
→ pattern matching

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GraphAware.
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Manual
analysis
All of these challenges ultimately
mean that intelligence analysis has
several manual steps.
Analysts are often responsible for
data cleaning, extraction, loading,
and the entire lifecycle of data
analysis.

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GraphAware.
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Hume
Use Actions
to streamline analysis and
data access
Actions allow users to run complex
queries on their entities of interest
with the click of a button.

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GraphAware.
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Advanced Expand
Visual query builder
Enables end users to query build
queries without having to learn how
to code.
Simplifying complex query creation
Seamlessly navigate intricate datasets, redefine
initial data discovery, and embrace a no-code
approach. It streamlines graph analysis,
empowering users to efficiently explore complex
data structures.

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GraphAware.
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Hume
Thank You
Mission Critical Graph Analytics

GraphAware - Transforming policing with graph-based intelligence analysis

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