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Accelerating Innovation Through Graph Thinking
Neo4j Innovation Lab
Neo4j Innovation Lab
Hello!!
Alessandro Svensson
Head of Neo4j Innovation Lab
San Mateo, California
Neo4j Innovation Lab
A different approach to
adopting Neo4j and Graphs
3
Innovation & Digital
Transformation
“Connected Data is Part of
Strategic Future”
1
Developers
A Known Problem to
Solve with Graphs
2
Business
user
Use Cases are a
Proven Fit
Neo4j Innovation Lab
Neo4j
Adoption
Paths
‣ Connected Insights
Strategically Significant
Use Cases
‣ Predictions
‣ Recommendations
‣ Knowledge Networks
Neo4j Innovation Lab
Leveraging data to make:
Strategically Significant
Use Cases
Neo4j Innovation Lab
Connectedness / Strategic Direction Legacy / Reality
Enterprises derive
extraordinary value from
connections in their data
Enabled by Connections
But data is stored with
legacy technology in silos
Held Back by Legacy
Companies Are:
Neo4j Innovation Lab
Impact when Innovating
with Graphs
Paradigm Shift
Information
Maintenance
Multi-silo

Research
Business Domain
Neo4j Innovation Lab
Neo4j Innovation Lab
Paradigm Shift Adopting Graphs
(Developers/Architects/Data Scientists)
Knowledge Networks
Predictive

Maintenance
Cross-silo

Research
Transformation
Impact when Innovating
with Graphs
Information
Maintenance
Multi-silo

Research
Business Domain
Transformation at Scale
Digital Transformation with Graphs
Neo4j Innovation Lab
Best in Class Transformation
Airline-customer
Major European Telco
Major US Telco
Online Retailer
Top tier Management Consultant
Topp tier Investment & Retail Bank
Top 5 Software Company
Fortune 100 Financial Services Company
H120172014 2015 2016 H22017 2018
200
Neo4j Innovation Lab
Digital Transformation with Graphs
Neo4j Innovation Lab
Neo4j Innovation Lab
Neo4j Innovation Lab
Neo4j Innovation Lab
Neo4j Innovation Lab
Neo4j Innovation Lab
A 3.5 day workshop — The Innovation Lab Sprint
Guaranteed
Neo4j Innovation Lab
Viability/Value
Proposition
Discovery
Ideation
Using design thinking to
understanding the underlying
needs for what to innovate
What?
Technology/
Data Science
Understanding technical limitations and
how they affect product and services,
and defining the requirements to
capture and connect your data
How? Why?
Will this affect cost and revenue for
an existing business logic, or set
your organizing up for executing on a
new business logic?
Three Focus Areas
Neo4j Innovation Lab
Viability/Value
Proposition
Discovery
Ideation
Technology/
Data Science
Neo4j Innovation Lab
The Innovation Lab
Sweet Spot
Three Focus Areas
Our Methodology 🥜
Neo4j Innovation Lab Playbook, 2019
Identify Target
Use Case
Generate
Data Model
Related “Graph
Questions”
Executive Feedback
Presentation
Build Prototype/
Wireframes
Neo4j Innovation Lab
Key entitiesNorth StarOpportunitiesChallenges Identify Target
Use Case
Generate Data
Model
Related “Graph
Questions” Executive Feedback
Presentation
Build Prototype/Wireframes
Use Case Generation
Day 1
Whiteboard Model
Day 1
Neo4j Innovation Lab
Executive Feedback
Presentation
Executive Feedback
Presentation
Build Prototype/Wireframes
Key entitiesNorth StarOpportunitiesChallenges Identify Target
Use Case
Generate Data
Model
Related “Graph
Questions”
Source data to
populate model
Build QueryImport Data
Materialize Model
Day 2
Neo4j Innovation Lab
Executive Feedback
Presentation
Executive Feedback
Presentation
Build Prototype/Wireframes
Key entitiesNorth StarOpportunitiesChallenges Identify Target
Use Case
Generate Data
Model
Related “Graph
Questions”
Source data to
populate model
Storyboarding/
Mockups
Identify Stakeholders /
Personas / Synopsis
Build QueryImport Data
Craft Scenario
Day 2
Materialize Model
Day 2
Neo4j Innovation Lab
Executive Feedback
Presentation
Executive Feedback
Presentation
Build Prototype/Wireframes
Key entitiesNorth StarOpportunitiesChallenges Identify Target
Use Case
Generate Data
Model
Related “Graph
Questions”
Source data to
populate model
Storyboarding/
Mockups
Identify Stakeholders /
Personas / Synopsis
Build QueryImport Data
Build Prototype
Day 3
Neo4j Innovation Lab
Executive Feedback
Presentation
Executive Feedback
Presentation
Build Prototype/Wireframes
Key entitiesNorth StarOpportunitiesChallenges Identify Target
Use Case
Generate Data
Model
Related “Graph
Questions”
Source data to
populate model
Storyboarding/
Mockups
Identify Stakeholders /
Personas / Synopsis
Build QueryImport Data
Finalize & Present
Day 3.5
Neo4j Innovation Lab
Case Study
Neo4j Innovation Lab
31
Preventing Burn Outs with
Connected Health Care
Data
XXMonth2017
32
- A Occupational
Healthcare company
33
This is where they came
from
34
Previa had a problem:
Too much data and no clue
what to do with it
35
Why was a sprint needed?
Today
(Many users,
poor data-value gains)
Potential Future
(Huge potential in data,
substantial product
development gains)
Intelligence
Receptors
Data Quality, Connected Data, Real-time Analytics etc.
Users,Consumers,Thingsetc.
37
The Data
38
Previas advantage
Companies
as clients
7500 1.1M
Swedish
employees
365K
Sick leave
notifications/year
40K
Health
examinations/year
39
Focus: Sick leave data
Employees
since 2005
180K
Real-time
data
Short term
absence
Long term
absence
40
Connecting The Data
41
7July2017
The Whiteboard Model
42
Absence
Person
Condition
Service
HAS_DEPARMENT
EMPLOYS
OFFERED_SERVICE
FIRST_ABSENCE
USED_SERVICE
ABSENCE
FIRST_ABSENCE
DUE_TO
HAS
Data model from LAB sprint
Department
Condition
Absence
Person
Company
Service
43
Department
Employment
Condition
Absence
Person
Service Use
Company
Service
Category
Condition
Category
Service
Notification
MANAGER_AT
HAS_EMPLOYMENT
HAS_NOTIFICATION
DIAGNOSED_WITH
HAS
HAS_CONDITION
BELONGS_TO
USES
HAS
PART_OF
BELONGS_TO
NEXT_ABSENCE
Data model today
44
Person
45
EmploymentPerson Company
46
CompanyEmployment
Condition
Absence
Person
Service
HAS AT
HASDUE_TO
DIAGNOSED_WITH
H
AS
USE
47
The Prototype
Notifications in real-time (no more
pre-calculated queries)
Current real-time status, and
previous events
Status-bar updated by traversing
entire network
48
En person bedöms ha medelhög risk för långtidssjukskrivningar
En person har sjukanmält sig för upplevd arbetsrelaterad frånvaro
Måndag 28 januari
Avdelning C - 56 anställda
Måns Månsson
Senast uppdeterad: 2018-01-20, kl: 11.24
Hitta oss Meny
Idag Historik Sök personal
varav 2 arbetsrelaterade
Frånvaroorsaker Korttidsfrånvaro
Långtidssjukskrivningar
Influensabesvär 5
3
3
1
1
Övre luftvägsinfektion
Stressrelaterade besvär
VAB
Sekretess
Frånvarande idag
5 personer tillbaka idag
Måndag 28 januari
Visa lista
Planerade återkomster kommande 7 dagarna
Friskanmälda personer per dag
3
Anna-Klara Larsson, Ekonomi
Beshad Farah, IT
Tony Rov, HR
1 3 0
Tis Ons Tors Fre
2 1
Lör Sön
5
Mån
13 frånvarande
3 frånvaroanmälningar idag
49
1
1
VAB
Sekretess
Frånvarande idag
Namn Typ av åtgärd
Lena Karlsson ACT-kurs
Tis Ons Tor
5 personer tillbaka idag
Frånvarohistorik
Antal personer frånvarande senaste 7 dagarna
Innevarande period
Samma period föregående år
Måndag 28 januari
Pågående åtgärder på avdelningen
Åtgärd börjad Åtgärd avslutas
2017-06-16 2017-06-16
Fre Lör Sön Mån
Visa lista
Planerade återkomster kommande 7 dagarna
Friskanmälda personer per dag
12
3
Anna-Klara Larsson, Ekonomi
Beshad Farah, IT
Tony Rov, HR
1 3 0
Tis Ons Tors Fre
2 1
Lör Sön
5
Mån
50
CRMCRM
51
Architecture
Stats
React, Apollo Frontend
Stats
GraphQL Backend
Stats
Data Collector
Data Warehouse
MSSQL
3Q
Lime
Visma
CRM
52
From old, to prototype, to new
53
Neo4j Innovation
Lab sprint
Neo4j Innovation Lab
“Strategy”
Customer’s Team
(Between 3-8 participants)
“IT”
“Digitization” “Sales”
“Operations” “R&D/Innovation”
Neo4j Field Engineer
• Facilitates graph-modeling exercises
• Expert in Neo4j/Architecture & Data Science
• Cypher-queries for prototype
UX-designer
• Facilitates storyboarding/wireframing
• Builds UI-tool for prototype
Labs Leader
• Head facilitator & Team Leader
• Facilitates the use case generation-segment
• Project manages prototyping
Neo4j Innovation Lab Team
+
Facilitation
Engineering/
Data Science
Design
Neo4j Innovation Lab Team
Neo4j Innovation Lab
Digital
Transformation
/Innovation Teams
Key sponsor
+
Facilitation
Engineering/
Data Science
Design
Neo4j Innovation Lab Team
Neo4j Field Engineer
• Facilitates graph-modeling exercises
• Expert in Neo4j/Architecture & Data Science
• Cypher-queries for prototype
UX-designer
• Facilitates storyboarding/wireframing
• Builds UI-tool for prototype
Labs Leader
• Head facilitator & Team Leader
• Facilitates the use case generation-segment
• Project manages prototyping
Neo4j Innovation Lab Team
Examples of
Innovation
Lab
Oil & Gas
Software Companies
Heavy Industry
FMCG
Cruising Companies
Logistics
Financial Services
Media
Health Care
Energy
Telco
Industries Use Cases
Recommendation Engines
Smart Cities
Personalization
Fraud Detection
Data Lineage
Construction Planning
Regulatory Compliance
Media Advertising Systems
Supply Chain
Preventive Health Care Tools
Churn Prediction
Customer Service
Automation
Customer Journey Mapping
Retail Bill of Materials
Churn Prediction
Neo4j Innovation Lab
The Neo4j Innovation
Lab Experience
Neo4j Innovation Lab
Generating
Use Cases
Neo4j Innovation Lab
CIO
BI Analysts
Chief Architect
Neo4j Innovation Lab
Head of Digital Innovation
UX Designer
Lead Developer
Machine Learning/
Data Scientist
Neo4j Innovation Lab
Data Modeling
Neo4j Innovation Lab
Adam Cowley, Neo4j
Field Engineer
Data Modeling
Neo4j Innovation Lab
Data Modeling
Eric Monk, Neo4j PS-
consultantData Scientist
Director of AI
Data Scientist
Innovation Lab
Leader
Neo4j Innovation Lab
Data Modeling
Neo4j Innovation Lab
Building
Prototypes
“If you build a polished prototype,
others will see flaws.
Neo4j Innovation Lab
— Baba Shiv
Stanford Graduate School of Business
“If you build a polished prototype,
others will see flaws. If you build a
rough prototype, others will see
potential”
Neo4j Innovation Lab
Building
Prototypes
Neo4j Innovation Lab
Building
Prototypes
Neo4j Innovation Lab
Building
Prototypes
Neo4j Innovation Lab
Building
Prototypes
Neo4j Innovation Lab
Campaign details Recommendation Estimated performance Live dashboard
Brands Formats
[
Recommended add ons
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CAMPAIGN ESTIMATION Buy 15 million impressions reach 6,5 million individuals with frequency 2,3
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consectetur adipiscing elit, sed do eiusmod
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aliqua. Ut enim ad minim veniam.
SSI Insights
Chocolate
without
shortcuts
Campaign recommendation
Feedback
Received
“The productivity and output enabled by
how the days were structure and the
exercises within the sessions has been an
eye-opener.”
— Procter & Gamble
“Very impressed. Intense and fun! We
got a lot done in just a week. Great
experience and super effective.”
— Santander Consumer Bank
“Unexpected and pretty incredible that
it’s possible to achieve such relevant and
applicable results in such a limited time
period.”
— Schibsted Media Group
“Involving. Knowledge building. Fun!
Extremely valuable and mind opening”
— Alfa Laval
Neo4j Innovation Lab
Lastly…
…you should
engage in a
Innovation Lab-
work shop with us!
If you see
potential with
Graphs and
want to…
…accelerate use
case exploration and
validation through
prototyping…
Neo4j Innovation Lab
alessandro.svensson@neo4j.com
Email
Linkedin
Alessandro Svensson, Neo4j
Neo4j Innovation Lab
Neo4j Innovation Lab
Thank you! #

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