Is big data handicapped by "design"? This presentation shares the seven design principles for effective data communication. Good and bad examples for data visualizations highlight the choices designers make in helping non-analytical audiences understand the meaning in data.
3. What is big data?
volume
variety
velocity
Gartner’s 3-Vs
40 definitions from Berkeley School of Information
survey of thought leaders
4. Technologies to capture,
gather, store, and
manipulate vast
quantities and varieties
of data
Data analysts/scientists
who can find meaning in
this data
Insights
Your audience who
makes decisions on
the data
Communication
Getting value from data
9. 7 design
principles
for data
communication
1 gradual reveal
2 compactness and modularity
3 guide attention
4 support casual use
5 lead to action
6 relevance
explanation before information7
10. Gradual Reveal
Draw the audience in
Reveal information as the
user expresses interest
Build understanding piece
by piece
15. Compactness and
Modularity
“Compact software tools have all the virtues of
physical tools that fit well in the hand.They feel
pleasant to use, they don’t obtrude themselves
between your mind and your work, [and] they
make you more productive.”
- Eric Steven Raymond,“The Art of Unix
Programming.”
18. Guide Attention
Visual cues and functionality
to draw the user to the things
that matter most.
Color
Contrast
Positioning
Paths
Size
Animation Photo by David Clapp (http://www.davidclapp.co.uk/)
21. Support Casual Use
Minimize the barrier to entry
for new users
Avoiding feature overload
Providing clear, concise
descriptions of what things
mean.
26. “5522 Tweets within the same
Second.
Sent from all over the world.
Preserved and categorized in four
Books.”
So what?
One second
http://www.philippadrian.com/project/onesecond/
27. Relevance
Customization to reflect the
users’point of view
Context to explain how the
information relates to the
user
http://www.businessinsider.com/slow-mo-gopro-vid-of-cliff-jump-gone-
wrong-is-nothing-short-of-insane-2013-12
29. Explanation
before
Information
Provide context and
explanations to understand
new and unfamiliar events
"You take the blue pill, the story ends. You wake up in
your bed and believe whatever you want to believe. You
take the red pill, you stay in wonderland, and I show you
how deep the rabbit hole goes."
32. Technologies to capture,
gather, store, and
manipulate vast
quantities and varieties
of data
Data analysts/scientists
who can find meaning in
this data
Insights
Your audience who
makes decisions on
the data
Communication
Getting value from data
33. Data isn’t like your kids. You
don’t have to pretend to love
them equally.
“
”» Amanda Cox,
New York Times
34. I don’t like food. I love it.
If I don’t love it, I don’t
swallow
“
”» Anton Ego, Food Critic,
Ratatouille
35. Our mission is to make communication of
data as easy and social as sharing a photo on
Instagram.
We do this through our technology
platform (Fruition), our consulting services,
and our thought leadership.