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Jared Wymer
Driving Change with
Data Visualization
“
People don’t resist change.
They resist being changed.
- P. Senge
We love
data!
Authority Data Population
high
low
We are
advocates,
regardless
of context
Authority Data Population
We are
advocates,
regardless
of context
As we influence
leaders directly
Authority Data Population
We are
advocates,
regardless
of context
As we influence
organizations at all
levels
Where do
you sit in
the data
exploration
hierarchy?
Creator
Explorer
Consumer
What we often see
Where do
you sit in
the data
exploration
hierarchy?
We are all explorersWhat we’d like to
see
Ask
Collect
Analyze
Act
Communicate
Where do
you sit in
the
analytics
cycle?Enable those living
the data to ask and
answer questions
with the data
It all comes
down to
people
Focus on benefits
for others: Everyone
wins
It all comes
down to
people
Build coalitions:
Bring others along
with you, harness
the power of diverse
thought
It all comes
down to
people
Consult with
champions: Leaders
and enthusiasts
It all comes
down to
people
Develop and
leverage networks
Identify the
keys to
your
success.
Accountability
- Come through on your promises
- Hold others accountable for theirs
Change that resonates
Communication
- Wins and losses
- What changed, what didn’t
Transparency
Here are a couple I
focus on
I have the
data, now
what do I
do with it?
“
Visualization is the beginning,
not the end.
Why does
visualization
matter?
Anscombe’s Quartet
Why does
visualization
matter?
Datasaurus Dozen
“
The best design gets out of the
way between the viewer’s brain
and the content.
- E. Tufte
Why does
visualization
matter?
Why does
visualization
matter?
Why does
visualization
matter?
Harness the
power of
your eyes
Pre-attentive
features
Why does
visualization
matter?
Anscombe’s Quartet
Harness the
power of
your eyes
Data encoding:
Position or placement
Harness the
power of
your eyes
Data encoding:
Labels
Individual contributors
Managers
Harness the
power of
your eyes
Data encoding:
Length
Harness the
power of
your eyes
Data encoding:
Length
Which city
has the least
employees?
Which city
has the least
employees?
Harness the
power of
your eyes
Data encoding: Size
or area
Harness the
power of
your eyes
Data encoding: Size
or area
Harness the
power of
your eyes
Data encoding: Color
“
Data visualization is a starting
point for you to be skeptical
about data and gain new
perspectives.
“
Data is a powerful mechanism
for telling stories. Be an
educated consumer of data.
Be critical
• Axes including
zero
• Multiple axes
• Inconsistent axes
• Empty axes
Context is key
Be critical
• Axes including
zero
• Multiple axes
• Inconsistent axes
• Empty axes
Context is key
Be critical
• Axes including
zero
• Multiple axes
• Inconsistent axes
• Empty axes
Context is key
Be critical
• Axes including
zero
• Multiple axes
• Inconsistent axes
• Empty axes
Context is key
Be critical
• Axes including
zero
• Multiple axes
• Inconsistent axes
• Empty axes
Context is key
Be critical
• Axes including
zero
• Multiple axes
• Inconsistent axes
• Empty axes
Context is key
“
Visualization is the beginning,
not the end.

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Driving Change with Data Visualization

Editor's Notes

  • #3: We love data!
  • #4: We love data!
  • #10: Analytics cycle: Ask the right questions Collect and analyze the right data Take action Communicate action to community (side note: your target audience should realize the action took place without you telling them) Traditional analytics: Does a great job of explaining the answer to a specific question, we want to empower folk to ask more questions (the five whys) Limits who can ask and answer questions Views visualization, reports, or dashboards as the end of the cycle (in the communications phase, whereas we propose visual analysis belongs in communicate, ask, analyze phases) Analysis may be time and skill intensive (advanced skillsets, you and your brain have to work hard to deduce what is right) (transition) Visualization can help us surface insights that we might miss otherwise
  • #11: https://www.pexels.com/photo/man-wearing-blue-suit-jacket-beside-woman-with-gray-suit-jacket-1059118/
  • #12: https://www.pexels.com/photo/man-wearing-blue-suit-jacket-beside-woman-with-gray-suit-jacket-1059118/
  • #13: https://www.pexels.com/photo/blur-cellphone-close-up-conversation-401684/
  • #14: https://www.pexels.com/photo/advice-advise-advisor-business-7075/ Leverage networks
  • #16: https://www.pexels.com/photo/board-game-business-challenge-chess-277052/
  • #18: Statistics and data tables communicate numbers, but visualization allows us to see a more holistic picture of what is happening with our data. All four of these tables have the same statistical properties. However, if these tables depicted drug trial efficacy and health outcomes you can see how you may be more interested in particular aspects of each graph.
  • #19: Image: https://www.autodeskresearch.com/publications/samestats Statistics and data tables communicate numbers, but visualization allows us to see a more holistic picture of what is happening with our data. All four of these tables have the same statistical properties. However, if these tables depicted drug trial efficacy and health outcomes you can see how you may be more interested in particular aspects of each graph.
  • #21: Demonstration of how color can help us see data
  • #22: Demonstration of how color can help us see data
  • #23: There at 20 threes on this slide Demonstration of how color can help us see data
  • #24: Image: https://www.fusioncharts.com/blog/how-we-decode-visual-information-podv/ We can choose to encode data in many ways.
  • #25: You remember how we referenced Anscombe’s Quartet earlier? This is an example of how position can help you visualize data.
  • #26: For a deeper dive into encoding and decoding data: Image: https://www.fusioncharts.com/blog/how-we-decode-visual-information-podv/
  • #27: For a deeper dive into encoding and decoding data: Image: https://www.fusioncharts.com/blog/how-we-decode-visual-information-podv/
  • #28: 7x larger For a deeper dive into encoding and decoding data: Image: https://www.fusioncharts.com/blog/how-we-decode-visual-information-podv/
  • #29: 7x larger For a deeper dive into encoding and decoding data: Image: https://www.fusioncharts.com/blog/how-we-decode-visual-information-podv/
  • #30: New York
  • #31: New York
  • #32: 7x larger
  • #33: 7x larger
  • #34: 7x larger