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PAW Workshop Preview:
Data Thinking
1996-2008
Consultant, Author
and Software Developer
Study and Research of
Bioinformatics (Data Science)
2001-2008
Managing Director &
Shareholder of SnipClip GmbH
2008-2013
Program Director of the Predictive
Analytics World & Deep Learning
World Conferences Germany
2014-dato
Managing Director & Founder of
Datentreiber GmbH
2014-dato
Chief Data Officer & Shareholder of
42AI GmbH
2018-dato
Martin Szugat
Agenda
Three virtual conferences on 11-12 May …
➔
… and two virtual workshops on 13 May 2020:
Why think about data …
… before doing data science?
Because ~85% of data analytics projects fail!
Reason #1: no business impact.
Reason #2: no user acceptance.
Reason #3: no (right) data.
→ →
→ →
Data
Thinking
Data
Mining
Data
Engineering
Data
Management
Data Strategy
Data Prototypes
Data Product
Data SourcesData AssetsData Product
Innovation Cycle
Data
Management
Data
Engineering
Data
Mining
Data
Thinking
Data, Model &
Application
Management
Data,
Software & UI
Engineering
Data
Mining & User
Experiments
Data & Design
Thinking
2. User
Under-
standing
(Desirability)
3. Data
Under-
standing
(Feasibility)
1. Business
Under-
standing
(Viability)
2. Modelling
3.
Evaluation
1. Data
Preparation
3. Learn
1. Build
2. Measure
(Test)
3. Act
1. Deploy
2. Monitor
Data, Model &
Application
Management
Operating
Data,
Software & UI
Engineering
Engineering
Data & Design
Thinking
Data
Mining & User
Experiments
Designing
Experiment-
ing
➔➔
„Fail early to succeed sooner.“
Which tools?
Your head.
And the Data Strategy Designkit
Workshop Agenda for 13 May 2020
➔
Q&A
Data Thinking Preview - Predictive Analytics World for Industry 4.0

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