Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de Kruijff

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The document discusses data innovation and Men on the Moon's approach. It notes that while there is a large amount of available data worldwide, only a small portion is used to create value. Most data science projects also fail. The document then outlines Men on the Moon's "Data Thinking" approach, which combines design thinking and data science. Their approach involves defining a data vision, identifying use cases, prototyping solutions, and enabling employees. The goal is to leverage data to create valuable solutions for people through data innovation.

3
4
The Challenge
Our approach
1 2 Data Innovation
Data Thinking
Data Gap
Who we are
Introduction Current Situation
5 6
Wrap-up
Key Take-Aways
Contact
Get in touch

We are a  
Design Company.
Introducing motm

We help companies to
envision, evaluate and
execute a tangible future in
a world that is driven by
experiences.
Introducing motm

More and more consumers
choose to invest in
experiences rather than
products.
actually…
of customers are willing to
pay more for a better
customer experience.*
86%
*Walker, 2017
Introducing motm

We design innovative
experiences, leveraged by
data.
Data & Design Based Solutions

Technologies will be fuelled by
data
Autonomous
Driving (Level 5)
Deep Neural Nets
(Deep Learning)
Virtual Assistants
Digital Twins
Gartner Hype Cycle 2018.
Reality Check

AmountofData
Time
The data gap
At this moment
Worldwide
available data
Data used to
create value
Reality Check

Companies, who’s core
business is not data driven
technology, are trying to
innovate by leveraging their
data, but only a few are
succeeding
In fact,
of data science projects fail
in practice.
85%
*Gartner, 2018
Reality Check

The data-based “Discover
Weekly” service of Spotify
reached 40 million users in
the ﬁrst year.
TechCrunch, 2016
The Challenge

People who listen to “Discover
Weekly” use Spotify twice as
much as those who don’t.
vox.com, 2019
The data-based “Discover
Weekly” service of Spotify
reached 40 million users in
the ﬁrst year.
TechCrunch, 2016
The Challenge

The Challenge
“We ﬁrst thought it was going to
be an IT party…”

Data
Science
Design
Thinking
Data
Thinking
Data Thinking

Data Thinking
Data Vision
& Strategy
Design & Data
Sprint
Enabling
People
Data Use Case
Identiﬁcation

Data Thinking
Data Vision
& Strategy
Design & Data
Sprint
Enabling
People
Data Use Case
Identiﬁcation
A company needs guidance on
how data can improve or
transform your business.

Data Thinking
Data Vision
& Strategy
Design & Data
Sprint
Enabling
People
Data Use Case
Identiﬁcation
Finding and prioritising
opportunities for data
innovation.

Data Thinking
Data Vision
& Strategy
Enabling
People
Data Use Case
Identiﬁcation
Design & Data
Sprint
Take concepts for data
innovation to the next step by
creating a prototype and testing
its value with your users.

Data Thinking
Data Vision
& Strategy
Enabling
People
Data Use Case
Identiﬁcation
Design & Data
Sprint
By guiding and educating your
employees, they can work more
effectively towards your business
goals.

Data innovation is the goal; We
(re-)frame the problem and
create solutions that add value
for people.
Data Thinking

Key Take-Aways
There is a gap between the
worldwide available data
and the amount of data
used to create value.I
Innovation needs more
then just technology (often
not the biggest challenge),
people must have a need for
it and it has to have value
for business.
II
Data Thinking combines
innovation process of design
thinking with opportunities
that data science offers with
the goal to create data
innovations.
III IV
Data Innovation is the
goal; creating valuable
solutions for people by
leveraging data.

Get in touch.
Robbert de Kruijff
rdek@menonthemoon.com
Michael Kurz
miku@menonthemoon.com
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