Zach Gemignani discusses the challenges of big data communication, emphasizing the importance of design principles for effective data visualization and communication. He outlines seven key principles: gradual reveal, compactness and modularity, guiding attention, supporting casual use, leading to action, relevance, and providing explanations before presenting information. The overarching goal is to simplify the data communication process, making it as intuitive as sharing a photo on social media through their technology platform, Fruition.

1. CEO, Juice Analytics
Zach Gemignani
Is the Big Data Revolution
Handicapped by “Design”?
7 Design Principles for
Communicating with Data

2. Let’s travel back to 1998

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

5. data junkies
information
designers
Data + Design

6. via viz.wtf

8. “…learn how to double your
effectiveness as an analyst"

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

11. How Many Households
http://www.nytimes.com/interactive/2011/06/19/nyregion/how-many-households-are-like-yours.html

12. How Many Households
http://worrydream.com/HowManyHouseholds/

13. Sprint dashboard

14. https://www.youtube.com/watch?v=v57sUtvNa5o
Phenominal cosmic powers…
…itty bitty living space!

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.”

16. Social media viz
Google Social Collider, Chrome Experiments

17. Fitbit

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/)

19. Shaking Off Oil Addiction
http://www.bloomberg.com/graphics/2014-america-shakes-off-oil-addiction/

20. HR dashboard
via Panorama Necto

21. Support Casual Use
Minimize the barrier to entry
for new users
Avoiding feature overload
Providing clear, concise
descriptions of what things
mean.

22. AnswerRocket
http://vimeo.com/115200957

23. Lead to Action
Empower users to
finish their task
quickly
Direct users to the
action that should be
taken based on the
results

24. World Chat Clock
http://worldchatclock.com/

25. Buy or Rent?
http://www.nytimes.com/interactive/2014/upshot/buy-rent-calculator.html

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

28. Valuation Analyzer
http://labs.juiceanalytics.com/valuation/index.html

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."

30. Gun deaths
http://guns.periscopic.com

31. http://viz.wtf/post/109140768701/common-requests-funky-triangles-in-a-spiral-bound
Common Requests?

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.

36. Fruition
A solution that abides by these
design principles

37. Data fluency:
the ability to use the
language of data to
fluidly exchange and
explore ideas within
your organization