This document discusses Neanex, a company that provides data integration services using graph databases. It describes Neanex's team of 20 employees with diverse backgrounds. It also outlines challenges of working with massive, interrelated datasets from different sources and how Neo4j is well-suited as the graph database at the core of Neanex's data integration solution. Contact information is provided for two Neanex executives.

1. Neo4j | Graph Summit 2023
Better Data, Smarter Insights

2. Neanex believes data driven asset insight today,
enables the sustainable built environment of
tomorrow.

3. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2021c
Neanex | Information Mgt services
3
Information Model
data
structure
Process & Workflow
Process & Workflow
Software Product Project Services

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Neanex | Team
4
❏ 20 FTE today –( & hiring!!!! )-
❏ Civil & Business Engineers
❏ Software developers
❏ BIM specialists
❏ Phd & Data Evangelists
❏ Mix of young & experience
❏ Crazy and driven
❏ International Team

6. BAD MAINTENANCE

7. NO SPEED in TRANSITION

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Industry is scattered & struggling

9. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
1 Gartner defines Dark Data as the information assets organizations collect, process and
store during regular business activities, but generally fail to use for other purposes (for
example, analytics, business relationships and direct monetizing)
Data
Volume
insight
gap
Time
Analyzed data
Dark data1
Data debt & Dark data

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The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
Risks of scattered information
30%
Search
50%
Lost data
90%
locked in to
legacy systems

11. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
The only digital twin that
connects, enhances & structures
out of the box

12. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
USP - What makes us unique?
faster
full data quality
future proof your
information
no dependency
no vendor lock in
data is yours

13. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
It’s only 3 clicks away
Trusted source
of information
It’s all connected What you want
is only 3 clicks away
Non destructive to your
existing tools
Working with
OPEN standards
3 clicks

14. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
Fundamend enables insight availability along the journey

15. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
Combine, enrich, handover
without disrupting your way of working

16. Fundamend
in practice

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As-built
Tennet | Data Delivery & Quality
As-designed
DATA
CONTRACTOR
COMMUNICATION
Design review
Data Quality
Project Engineer
Contract manager
Contract Compliance
MODEL
CLIENT
OPERATOR
Information manager
(Object Type)
Library

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Object Type
Library
Contract & BIM
1
2
3
Ringroad Antwerp | Federated data
Data quality
Contract compliance
Coherence & Insights
Project Engineer
Design manager
Information manager
As-designed
As-built
Product Library

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As-designed
Ringroad Antwerp | Federated data
As-built
BIM model
1
BIM model
2
BIM model
x60
Coord.
Model
Neanex Portal
BI
x1
digital
calculation
PoM
(Principle of
Measurement)
Project team
Passports
QTO
..
Cost Engineer
ESG Engineer

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Digital Twins | Dynamic data integration
As-maintained
f.i. AUG.E CLIENT
Coherence & Insights
Digital Twin Services
Asset Mgr & Operator
Digital Twin Manager

22. Closer to the HOW

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Neanex vision | Data driven insights for a sustainable built environment
2
● Massive amount of data
● Scattered data
● Unstructured data
● Different data sources
● W3C ontology network
● Object based
○ Alphanumeric data
○ Geometric data
● Open API (json-LD)
END
MEANS
BEGINNING
● Data in context < 3 clicks
● Control & insight
○ Data quality
○ Secure data
● Efficient data transactions

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Challenge 1 | Massive data sets
A large scale Infrastructure project has
● up to 500.000 Objects
● up to 5.000.000 nodes
● up to 35.000.000 relationships

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The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
Challenge 2 | Highly interrelated datasets
● Object (e.g. Administration Room) has only
meaning with his relation/context to other objects.
● Dataset can grow quickly
● Need to stay performant

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The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
Challenge 3 | Unstructured data from different data sources
IFC <> native file format
Best of breed <> one-size-fits-all
Parametric modeling
Compliant project
Digital deliveries

27. The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
The content of this document (or parts) may not be duplicated or made available to third parties without explicit approval of Neanex Technologies NV Antwerp ©2023
Using Neo4J as key part of an integration

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● Property Graph with semantic relations
● Performant for highly interrelated data (many relations)
● Scales well for massive data sets
● Large community
Lessons learned
● Take control of your cypher queries
● Profile your queries to get better understanding of what happens
● Page cache Neo4j: prevent in-and-out swapping
● Use of APOC functions (e.g. apoc.periodic.iterate) for batching
● Use your types (labels) and direction of your relations (possibly reduces lookup)
● Prevent traversing supernodes
Neo4j | a natural choice

29. Contact
Peter Imbrechts & Thomas Van Driessche
CTO Tech Lead
peter.imbrechts@neanex.com
BELGIUM
Klokstraat 12,2600 Antwerpen
+32 3 286 46 37
+32 475 21 31 44