Using Knowledge Graphs to Predict Customer Needs and Improve Quality

© 2019 GraphAware Ltd. All rights reserved.
Using Knowledge Graphs
Alessandro Negro, Chief Scientist @ GraphAware
graphaware.com
@graph_aware, @AlessandroNegro
to predict customer needs,
improve product quality and
save costs

Why am I receiving so many
complaints?
What can I propose to my customers
to make them happier?
Why are the production
costs increasing so much?
Where can my product chain
be improved?
Does a common pattern exist in all
these failures?

Where would you start?

From data to simulation
VALUE

The Data Warehouse approach

An OLAP on [multiple] OLTP
No events are stored neither relationships among them
KPIs are hard to evaluate
It is a data-driven decision making process!
The Data Warehouse approach

Where is the knowledge?

The Search Engine approach

Documents are isolated
KPI based approach
It is hard to reveal common complex patterns
It is an information-driven decision making process!
The Search Engine approach

The Graph approach

Knowledge Graph

The Knowledge Graph approach
Entities are connected by nature
Multiple access patterns
A concrete enabler for Artiﬁcial Intelligence

Ok, you convinced me. 
How can I get started?

Extract hidden structure from the text
Easily merge from diﬀerent sources
Analysis framework
Visualisation tool
What should you look for?

“GraphAware Hume converts structured
and unstructured data silos 
to Knowledge Graph”

Data Information Knowledge Insight Wisdom Simulation
Evolve
Enhancing the core
knowledge models that
drive an organization,
to derive ever greater
value.
06
Analyze
Finding and revealing
patterns in the
connections between
and amongst things.
03
Match
Finding and displaying
similarity between
things.
02
Act
Supplying solutions to
speciﬁc business and
strategy problems.
05
Communicate
Finding, extracting, and
executing the structure
of language.
04
Discover
Indexing, tagging,
ﬁltering, sorting and
delivering listings.
01
VALUE

Knowledge Graph store
Fast access to connected data
Merging External Data
Existing Data Augmentation
Scalability
The Neo4j role

Thank you
For more information please contact:
Alessandro Negro · 07/05/2019 
info@graphaware.com
+1 844-344-7274
graphaware.com

Using Knowledge Graphs to Predict Customer Needs and Improve Quality

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