This document provides an overview of visual communication and analytics. It discusses how people best remember and learn information through visual means like images and seeing things. The document outlines different techniques for visual storytelling with data like using color, proximity, and simplicity. It provides examples of how to effectively display data through charts, graphs, and simple text to clearly communicate insights and stories.

1. Introduction to Analytics
Visual Communications
October 2016
www.dsign4change.com

2. Introduction
©2016 L. SCHLENKER
Agenda
Introduction
Administrative Details
Business Basics
The Challenges
The Building Blocks

3. Introduction
How do we remember anything?

4. Mind42.com
©2016 L. SCHLENKER
Ideation
• Begin with the theme
• Write down the main concepts
• Note what “proof” was offered
• Define the terms
• Explore the relationships between the
concepts

5. ©2014 L. SCHLENKER
H. DAMISCHH
People remember 10% of
what they hear, 20% of what
they read, but 80% of what
they see
Learning
The Noun Project
83% of human learning occurs
visually

6. How effectively will you tell this story to customer ?
• Disti Engagement
• Disti PAM
Engagement
• SMB Engagement
Challenges Skills Roadmap
• A story begins
with conflict
•What business
problems are we
trying to solve
•Transform a
conflict into
opportunity?
• How does changing
the roles move this story
forward?
•Is it a question of
people, process or
technology?
•What is the next step?
Introduction
• Why does this
situation exist?
•What knowledge
and skills are
missing?
• Who are the
heros of this
story?

7. Introduction
Storytelling in business
• The conflict
• The context
• The way forward
• The happy end (a
call to action)

8. • Disti Engagement
• Disti PAM
Engagement
• SMB Engagement
Sources ? Results ? Metrics ?
Where does this story start?
• Where does
value come
form?
•Do your
sponsors believe
in people ,
process or
technology?
•This is your
value lever
• Where are they
looking for proof
of concept?
•With individuals,
with teams or
with customers?
•This is where
you need to
focus
• How do they
qualify success?
•Efficiency,
utilization,
passion?
•This is your
happy end
The Business Value
Matrix™
Introduction

9. Proximity— we perceive objects that are close
to each other as forming a group
Similarity— an assortment of similar objects are
perceptually grouped together
Closure—letters, pictures, etc., as seen as whole
even when they are not complete
Symmetry— the mind perceives objects as
being symmetrical around a center point
Continuity— objects tend to be grouped if they
are aligned within an object
Imagery

10. •Replace the descriptive title with an
active one
•Add insights with text
•Flip the chart on it's side
•Orderthe data from greatest to
least.
•Eliminate unnecessary clutter
•Used color strategically within the
graph
Horizontal Graphs
http://www.storytellingwithdata.com/
Data

11. •Think about what you're trying
to communicate
•Draw attention to the data
through the preattentive
attribute of coulor
• Push everything else into the
background
• By showing each trendline in
its own graph prompts a
different sort of data discovery
Line Graphs
http://www.informationisbeautiful.net/

12. • How can you make sense of
survey responses ?
• Connect the story to the data
visualization via colored
markers
• Are there any useful
comparisons to other groups
that could aid in the
interpretation of the results?
•Is there qualitative data (that
can be pulled in to help bring
the data to life?
•Have any specific actions been
taken that are impacting the
results?
The Bar Graph
http://www.storytellingwithdata.com/

13. • When representing data, we
typically think tables and
graphs
• The 9% who
responded yes are dwarfed by
the 88% who don't see a need
for change
•Showing the numbers tcan be
more powerful than burying
them
Simple text
http://www.storytellingwithdata.com/