Everyone is talking about Big Data, Deep Learning and Artificial Intelligence. But the reality in some companies looks different, especially when developing new products: (the relevant) data is missing. Without predictive models and recommendation systems cannot be trained and the value is consequently low. This so called cold-start problem is especially concerning startups, since without own data treasure the companies are missing a defendable unique value proposition. Successful startups solve this problem with the help of „Data Traps“ and develop products with „Data Network Effects“. What exactly stands behind these terms and how companies design their own successful and data-driven products, will be demonstrated by Martin Szugat based on samples from his occupation as Data Strategy Consultant.
Using Data Strategy Design to Build Data-Driven Products
Using Data Strategy Design to
Build Data-Driven Products
Martin Szugat at Product Tank Munich on 26.06.2017
Driving your business forward.
Consulting, workshops and seminars on data strategy design.
Software developer, consultant,
trainer and author
Study & research of bioinformatics
Managing director & shareholder of
Program director of Predictive
Analytics World conferences in
Managing director & owner of
Founder and director of
Drivers for AI spring:
Improved methods & open source tools
Processing power (i.e. GPU) & memory
Availability and quality of data
Breakthroughs in AI are mainly driven by data.
How machine programs work.
How machine learning works.
“Accessing and owning a large, domain-specific dataset to build high
accuracy models can be the single hardest problem that founders need to
solve in the beginning.”
“Owning a large, domain-specific dataset can therefore become a significant
source of competitive advantage […]”
The Chief Data Officer …
… is drowning in data ...
… but his company is …
… thirsty for information.
Data-driven business is lead by a value-oriented strategy.
Exploitation Refinement Utilization
What‘s a „data product“?
“A data product is a
that takes data
inputs and generates
them back into the
“Customers buy the
data 'product' once,
and continue to use
it as is.”
“A data product is
that can be
What‘s a data-driven product?
It‘s valueable.It‘s unique.
It‘s an unique value proposition. (model)
It‘s a driven-driven product.
It‘s customer needs.
Seats Sold per
Movie Data Movie Total
Seats Sold per
WarehouseETL Tool Predictive
Monthly Pay per