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How to make sure your

Big Data UX won’t suck
Sebas9an Ullherr
eulenherr
Munich UX Meetup

2017-01-24
Hi, I’m Sebas9an,
Crea9ve Director
at interfacewerk.
Let’s talk about Big Data!
© Josh Lee
volume velocity variety
value validity
analy9cs
Awesome analy9cs.
Awesome analy9cs.
UX
———
PROBLEM I
How do we analyse 

a large volume of data?
This isn’t the 💩 

you’re looking for.
PROBLEM I
How to choose 

the right analy9cs?
SOLUTION
Focus on decisions 

the user has to make
PROBLEM II
How do you build trust with
expert users?
Screenshot © Glanos GmbH
SOLUTION
Summarise, but don’t hide
PROBLEM III
How do you make complex
analy9cs understandable?
SOLUTION
Use domain specific wording
and knowledge
If someone asks you to design
a toaster, start by studying
the history of bread making.
DAVID KELLEY
If someone asks you to design
analy9cs, start by studying
the history of using data to
make decisions in that area.
RECAP
I. Focus on the user’s decisions
II. Summarise, but don’t hide
III. Speak the user’s language
Thank you for having me!
Talk to you later.
I’m eulenherr on Twi^er.

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How to make sure your Big Data UX won’t suck