1) Linkurious is a graph visualization and analysis startup that helps customers understand complex connected data through its graph database and visualization tools. 2) Enterprise architects use Linkurious to model enterprise architecture data as a graph with various entity types and relationships in order to better understand interdependencies and perform impact analysis across business, data, applications and technology. 3) Linkurious allows architects to intuitively investigate architecture overviews, generate custom reports, and collaborate more effectively on enterprise architecture projects.

1. Using Linkurious in your
Enterprise Architecture
projects.
SAS founded in 2013 in Paris | http://linkurio.us | @linkurious

2. Introduction to Linkurious.
Graph visualization and analysis
startup founded in 2013.
200+ customers worldwide
including NASA, Cisco, French
Ministry of Finances.
Used to solve complex connected
data issues in financial fraud,
intelligence, cyber-security, medical
research...

3. The growing popularity of graph technologies.
Data is stored as a graph of entities
(nodes) and relationships (edges).
Those graph can be stored in graph
databases that are perfectly suited to
process and query them.
Graph visualization & analysis tools
are perfect to understand and
navigate large data sets or find
hidden insights and patterns.
Source: Database popularity evolution per category
Avril 2017 - DB Engines ranking.
↗ 500% popularity increase since 2013
for Graph Databases

4. Typical use cases.
Cyber-security
Servers, switches, routers,
applications, etc.
Suspicious activity patterns,
identify impact of a compromised
asset.
IT Operations
Servers, switches, routers,
applications, etc.
Impact analysis, root cause
analysis.
Intelligence
People, emails, transactions,
phone call records, social.
Detecting and investigating
criminal or terrorist networks.
AML
People, transactions, watch-lists,
companies, organizations.
Detecting suspicious
transactions, identify beneficiary
owners.
Fraud
Claims, people, financial records,
personal data.
Detecting and investigating
criminal networks.
Life Sciences
Proteins, publications,
researchers, patents, topics.
Understanding protein
interactions, new drugs.
Enterprise
Architecture
Servers, applications, metadata,
business objectives.
Data lineage, curating enterprise
architecture.

5. Enterprise Architecture is “A set of
methods, models and principles
used in the design and realization of
an enterprise’s business processes,
infrastructure, information systems
and organizational structure.”
ArchiMate Foundation

6. Enterprise architecture.
Enterprise architects (EAs) work
cross-domain and link business
(mission, strategy, processes) to IT
strategy (technology, processes).
Main challenges include plan, justify
and transform business processes,
applications, data and infrastructure.
Task to achieve it will involve
architectural overview, impact
analysis, scenario evaluation or
roadmapping.
Business
Data
Application
Technology

7. Why it’s important.
Complexity in organizations can
generate paralysis and eventual
replacement by competitors.
Managing change & complexity is
essential to adapt, compete and
innovate.
Allows to reduce costs, increase
agility, align business & IT or boost
customer experience.

8. Challenges of managing cross-domain architecture projects.
Siloed solutions.
Large & complex volume of
siloed data that traditional
solutions are unable to
leverage.
Reporting difficulties.
Complicate to advocate
projects when reporting to
business or IT decision
makers.
Performance issues.
Project can be time
consuming and solution can
lack dynamic representations
or advanced analytics.

9. Meet those challenges with Linkurious.
Unified model.
Leverage a flexible unified
model composed of
cross-domain data and easily
visualize interdependencies.
Empowering
features.
Generate and share custom
graph to report and
communicate about your
projects.
Graph analysis.
Increase your performances
and save time with graph
analysis and visualization
capabilities.

10. Build a cross-domain metamodel
with various entity types, properties &
relationships and avoid blindspots.
Store and easily access or update
your data to adopt new framework or
integrate architecture change.
Capitalize on an incremental delivery
with a graph model that is naturally
adaptive.
Unified your EA model in a single graph.
BUSINESS
TECHNOLOGY
DATA
APPLICATION

11. Intuitively investigate overviews of
your architecture with the dynamic
visualization interface.
Choose your viewpoint & create
specific visualizations to quickly get
insights on the current situation.
Save time with rule-based analytics
designed for connectedness. Easily
answer complex question & monitor
the data to identify anomalies.
Increase your performances with graphs.

12. Customize your graph (icons, colors,
data curation) for better collaboration.
Generate report in formats that speak
to decision-makers and reduce
business-IT gap with easy to read
visualizations.
Share interactive widgets and graph
to support understanding and
validation of EA projects.
Generate custom visualization and reports

13. Demo: Enterprise
Architecture with Linkurious.
- Modeling your data into a graph
- Visualizing your data into Linkurious
- Running impact analysis

14. Modeling your Enterprise Architecture data into a graph.
Location
Organization
unit
Process ControlProduct
Business
actor
Application
service
ICT
object
Application
Data
object
Standard
platform
Platform
Component
Component
catalog
Device
Produces
Owns
Participates in
Requests
Owns
Uses consists of Deployed on
Belongs to
Is stored in
Derived from
Is guided by
Consists of
Runs on
Provides
Belongs to
Is in
Access

15. Visualizing your Enterprise Architecture data in Linkurious.

16. Explore subgraphs to visually understand interdepencies in your system.

17. Share dynamic reportings of your findings.

18. Model and update a cross-domain
metamodel that fully highlight
dependencies and relationships.
Query and visualize large graph and
get exhaustive insights.
Collaborate and efficiently report to
decision-makers.
Graph technologies provide a
foundation for a scalable enterprise
architecture reducing costs and risks.
Deliver insights and value quickly with
Linkurious.

19. Linkurious Enterprise
Out-of-the-box web application built
for teams investigating graph data.
Linkurious SDK
Toolkit to embed Linkurious into
3rd-party applications or create new
ones (REST API & ogma JS library).
Compatibility
Windows / Linux / Mac, supports all
modern browsers & graphDB (Neo4j,
Titan, DataStax, AllegroGraph).
Linkurious Solutions.
Linkurious Server
Graph DB
Raw data

20. Background
International vehicle manufacturer.
Problem
Complex and large manufacturing
process with multiple technology
dependencies is hard to understand
and to communicate.
Benefit
Holistic graph approach allows to
run impact analysis. Visualization
helps communicate complex results
and drive action.
EA and impact analysis (confidential).

21. www.linkurio.us
contact@linkurio.us

22. Sources and links.
Bibliography :
● DB-Engines. Knowledge Base of Relational and NoSQL Database Management Systems. Ranking
per Categories. Available: http://db-engines.com/en/ranking_categories [Avril 2017]
● Land, Proper, Waage, Cloo, Steghuis. Enterprise Architecture: Creating Value by Informed
Governance. 2007
Images:
● Istock
● Icons from the Noun Project