Accelerate Innovation with Graph Thinking

Neo4j Innovation Lab
Accelerate Innovation
Through Graph Thinking

Global Head of Business Design
and Strategic Programs
Stefan Wendin
stefan.wendin@neo4j.com
linkedin.com/in/stefanwendin
PLEASE CONNECT:

– Yogi Berra / Jan L. A. van de Snepscheut
In theory there is no diﬀerence
between theory and practice.

In practice there is.

What most people think
innovation looks like… Me
You

What most people working with
innovation think innovation looks like…
Competence Sweater
Disruption
Status Quo

I love child things because
there's so much mystery when
you're a child. When you're a
child, something as simple as a
tree doesn't make sense.
Me
You
What I actually do…

Once upon a time
Some seemingly random shit
The End
The synopsis of a great journey

IBM Design
Thinking Model
Google Design
Sprint Process
Ideo Human Centered
Design Model
Stanford D School
Design Thinking
Zurb Design
Thinking Model
The Double
Diamond Model of
Design Design
Council
The rule of the game
Everybody has a “Sprint”

IdeationInspiration Implementation
Discover Concept Design Do
Envision Explore Create Inspire Express
Prepare Form Harden Fire& Glaze
Research Modeling, Scenarios Framework Design Communicate
Discover Design Deliver
Discover Deﬁne Design Do
Explore Discover Concept & Design Implement & Assess
Discovery Interpretation Ideation Experimentation Evolution
Empathise Deﬁne Ideate Prototype TestSTANDFORD
IDEO
XPLANE
CHESKIN
BITOMI
COOPER
FROG
FITCH
MELVILLE
IDEO ED
The rule of the game
Everybody has a “Sprint”

– Murray Walker (BBC motorsport commentator)
The lead car is unique,

except for the one behind
it which is identical.

A PARADIGM SHIFT IN MINDSET
Innovation Task
Neo4j Innovation
Lab Sweet spot
• Speed up time-to-validation
• Business, Data/Tech, User
• Comprehensive learning through prototyping
• Craft meaningful value propositions

A PARADIGM SHIFT IN MINDSET
Neo4j Solutions
Lab Sweet spot
Help companies accelerate innovation and digital
transformation through graph thinking.
What we do
We generate and prototype graph projects together
with customers and prospects.
How we do it
Expected Outcome
To provide a deep understanding of graph thinking and the
new possibilities in innovation and digital transformation
that is enabled by adopting Neo4j and graphs.
Innovation Lab:

Sprint — 4 day workshop

Accelerator Program — Four consecutive Lab Sprints
Methodology

Our Methodology in A Nutshell
Innovation Lab Sprint
Identify Target Use Case Generate Data ModelRelated “Graph Questions”
Executive Feedback PresentationBuild Prototype/Wireframes

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 4
Our Methodology in A Nutshell

Generating
Use Cases

CIO
BI Analysts
Chief Architect
Generating
Use Cases

Head of Digital Innovation
UX Designer
Lead Developer
Machine Learning/
Data Scientist

Data Modeling

Adam Cowley, Neo4j
Field Engineer
Data Modeling

UX-Designer
UX Designer
Risk Analyst
CIO
Building
Prototypes

— 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”

Building
Prototypes

Prototyping use cases
The Innovation Lab is all about

What use case to prototype?
How do we choose

Themes Use Case Datasources
Planning Active Available Inventory Supply chain data, activities data, etc
Showing me things that are relevant to me Products, Hospitality, Activities data
Showing me things what's relevant, and incentives to buy Products, Hospitality, Activities data, Promotions
Showing me things what's relevant, whith incentives to buy, with dynamic pricing Products, Hospitality, Activities data, Promotions
Frictionless boarding, intelligence on guest pre-board journey Registration-data, identification-tech data
Social interaction/feedback Social interactions between guests Social media data, Registration data, Planning data
Event planning portal Event planning data, Activities-data, hospitality-data
External Social Media Feedback (API) Social Network-data, Event Planning Data
Explicit feedback Social Network-data, Feedback-data
Implicit feedback Guest data, activities data
Organic groups/group perks/cruising buddies Guest data, activities data
Lessons learned Knowlegde Graphs
Layer
Exlpore cruise/product options through conversational AI Knowlegde Graphs, Guest Data, Hospitality Data
Guests interacts through multiple channels Network-data, Guest data, Activities data
Sense Respond Trouble shooting/root-cause (wifi is down to sensors being off) Network-data
on shore side analysis - Ship goes ghost (root cause analysis) Network-data, Cloud data
Medical alerts for preventing detecting trends and outbreaks Medical data, activities data, guest data
Development services, staging services (micro services) Network-data, Cloud data
Ship optimization Space optimization (this bar is full, this bar is not) Sensor-data, guest-data, hospitality-data
Crew has better data to optimize the ship/decision IT/Engineers/Digital products
Automate ship optimization, lessons learned Network-data
Optimized guest/crew interaction (crew gratuities, feedback, performance review/incentives) Scheduling-data, crew-data, employee-data
Digital signage (optimized sales/marketing etc) Sales&marketing-data
Scaling horizontally Ship related questions/queries All data relevant to ships
Fleet related questions/queries Horizontal data relevant to fleet
Shore side analysis
Backlog of Potential Graph Use Cases
What to
choose?

Four Guiding Principles
1. Scalability
2. Cross-functionality
3. Improve User Experience
4. Financial Beneﬁts

Four Guiding Principles
1. Scalability

2. Cross-functionality

3. Improve User Experience

4. Financial Beneﬁts

Data-IntelligenceEntities
Ways to Scale
ThingsUsers Apps Data
Sources
Data-
Connections
SCALABILITY

Data-Intelligence
Data Quality, Connected Data, Real-time Analytics etc.
Entities
Users,Consumers,Thingsetc.
Framework inspiration: Scott Galloway, NYU
SCALABILITY

Data-Intelligence
Data Quality, Connected Data, Real-time Analytics etc.
Entities
Users,Consumers,Thingsetc.
Framework inspiration: Scott Galloway, NYU
connected enterprise
Platforms Built Around
Connected Data
SCALABILITY

The Power of a simple model
Case Study: The Consumer Web
SCALABILITY

Silos
Potential Raw
Data to Capture
Data Warehouse

Data Lakes
Capture
complexities
💡
AI/ML-
Pipelines
Graphs provide
context
Graphs are cross-
functional by
default
CROSS-FUNCTIONALITY

UserPoints
Products
Ad
REType
SubS
T
Property
Location
Inventory
Task
• Orion
• WST
• WST
• RMP
• OMT
• WD
• InCalendar
• Aggregation
Filters
• DataLake
• Navigator
collection
• Google
Maps
• OMT
• Victoria
• OMT
• Orion
• WST
• CEI
• SMP
• Victoria
• PP-tool
• Orion
• WTS
• iNotes
• OMT
• Victoria
• PP-tool
• iNotes
• 3rd Party
• DataLake
• RDBMS
• Salesforce
• Survey Tool
Data Sources
A Data Model Example
CROSS-FUNCTIONALITY

Connecting silos transforms
companies
A Decade of Learning from Enterprise Adoption
CROSS-FUNCTIONALITY

Connected insights leads to
revelations you wouldn’t have
access to any other way
CROSS-FUNCTIONALITY

Connected data use cases
spawn more use cases
(data-network eﬀects)
CROSS-FUNCTIONALITY

Hierarchies
On Stage
Business
Processes
Linear Supply Chain Information
Behind the Scene
Data
Structure
IMPROVE USER EXPERIENCE

Organizations Dynamic Supply Chain Knowledge
On Stage
Business
Processes
Behind the Scene
Data
Structure

Compute complexity
Eliminate Friction
User Experience
Underlying Data

Compute complexity
Eliminate Friction
User Experience
Underlying Data
Research Planning Testing Execution Feedback Completion
3rd Party Sources

Journals

Internet

Social Media
User sample set

Choose date

Assign Roles

Source team
User feedback

Adjustments

First Iterations
Track Key Metrics

Engage with Users

Monitor

Launch
Metrics Feedback

Performance Feedback

User Feedback
Report

Key Learnings

Contingency plan

Compute complexity
User Experience
Underlying Data
Campaign details Recommendation Estimated performance Live dashboard
Brands Formats
[
Recommended add ons
Media solutions
Native artikel 300 000 kr
OMNI
Native story 280 000 kr
OMNI
Programmatic display
DIGITAL TEAM
Campaign tracking
INSIGHT TEAM
Tailored ad hoc market research
INSIGHTS TEAM
Display 240 000 kr
OMNI
Native artikel 300 000 kr
SvD
Display 240 000 kr
SvD
Display 140 000 kr
Aftonbladet
CAMPAIGN ESTIMATION Buy 15 million impressions reach 6,5 million individuals with frequency 2,3
SvD
Aftonbladet
OMNI
Export to excelDownload
Niklas Forsberg
Display
Chocolate
without
shortcuts
Native
Chocolate without
shortcuts
FAZER Lorem ipsum dolor sit amet,
consectetur adipiscing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna
aliqua. Ut enim ad minim veniam.
SSI Insights
Chocolate
without
shortcuts
Campaign recommendation
Data-Lineage Dashboards Reports
Business
Users

Compute complexity
User Experience
Underlying Data
Consumer Facing
Applications
Laptop
Tablets
Phone
Wearables
The
Store
People who bought Side Table also bought: Similar product in from Home Office Series:
Hi, login
My AccountSearch
se Series 15% off Dreamhouse Series 15% off
All departments Living room | Kitchen | Hallway | Lightning | Bedroom | Garden | Home Office Space
Tra c k O rd e r s | G i f t C a rd s | S t o re fi n d e r | C re d i t C a rd | G ro c e r y P i c k u p | H e lp
Wood Side Table
$110
Green Side Table
$135
Walnut Side Table
$120
Coffee Table
$235
Low Book Shelf
$150
Bed Side Table
$90

RDBMSRDBMS RDBMS RDBMS
RDBMS
RDBMS
RDBMS
RDBMS
Challenges today:
Legacy systems in disparate silos,

don’t capture complexity very well
User Experience
Underlying Data
Consumer Facing
Applications
Laptop
Tablets
Phone
Wearables
The
Store
Hi, login
My AccountSearch
Wood Side Table
$110
Green Side Table
$135
Walnut Side Table
$120
Coffee Table
$235
Low Book Shelf
$150
Bed Side Table
$90

RDBMSRDBMS RDBMS
User Experience
Underlying Data
Laptop
Tablets
Phone
Wearables
The
Store
Hi, login
My AccountSearch
Wood Side Table
$110
Green Side Table
$135
Walnut Side Table
$120
Coffee Table
$235
Low Book Shelf
$150
Bed Side Table
$90
Consumer Facing
Applications
RDBMS
RDBMS
RDBMS
RDBMS
RDBMS

/ VFI-score
Value, Feasibility, Innovation-score
FINANCIAL BENEFITS

/ VFI-score
Value, Feasibility, Innovation-score
Example “Heat Map”
FINANCIAL BENEFITS

How to Engage
with the Neo4j
Innovation Lab?

OUR METHODOLOGY IN A NUTSHELL

OUR METHODOLOGY IN A NUTSHELL
The Accelerator Program

“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
THE TEAM

40+ Projects so far…
Dramatically Decreased Time
to Validation
2
Develop
3
Proof of
Concept
Understand 1
Validate
4Time
Money
Innovation

Lab Impact

40+ Projects so far…
Dramatically Decreased Time
to Validation
Innovation

Lab Impact
Increase in Use Case
Accuracy
Neo4j Innovation
Lab Sweet spot

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
Knowledge Graphs
Master Data Management
Network Topology - Pathﬁnding

“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
“The productivity and output enabled
by how the days were structure and
the exercises within the sessions has
been an eye-opener.”
— Procter & Gamble
FEEDBACK RECEIVED
“Involving. Knowledge building.
Fun! Extremely valuable and
mind opening”
— Alfa Laval

We aren’t rational human beings.
We are rationalizing human beings, and our
behavior is informed by our culturally-
constructed world view.
That is, the way we see the world informs
how we show up in the world.

Global Head of Business Design
and Strategic Programs
Stefan Wendin
PLEASE CONNECT:
linkedin.com/in/stefanwendin
PLEASE CONNECT:

Accelerate Innovation with Graph Thinking

Recommended

Recommended

More Related Content

What's hot

What's hot (17)

Similar to Accelerate Innovation with Graph Thinking

Similar to Accelerate Innovation with Graph Thinking (20)

More from Neo4j

More from Neo4j (20)

Recently uploaded

Recently uploaded (20)

Accelerate Innovation with Graph Thinking