Course support for Analytics in Action

1. Introduction
©2017 L. SCHLENKER
Data Storytelling
February 2019
Analytics in Action
http://dsign4.education/

2. Introduction
©2016 L. SCHLENKER
Agenda
Introduction
A Data Science Problem
Storytelling
Visual Communications
Individual/Group Assignment

3. • The positions are rarely well
defined
• The aptitudes and competencies are
difficult to detect
• The lack of specialized head
hunters
• The inflation of data science
degrees
BAI, What are the Key Skills in Data Science? (2017)
The
Problem
©2017 Business Analytics Institute

4. • Visual c.v.s
• Optimizing the meaning of the data
• Transforming data into a call for action
• A career strategy
BAI, What do we really need to know about Data?(2017)
©2017 Business Analytics Institute
The
Problem

5. Six secondes per
candidate
• A global flood of talent
• The use of machine reading
• The difficulties in qualifying skills
BAI, What is the who, where, and when of an education in Data Science? (2017)
©2017 Business Analytics Institute
The
Problem

6. Inputs
Prediction
Evaluation
Actions
Outcomes

7. How do we remember anything?
The Problem

8. ©2016 L. SCHLENKER
Frame
Cloud
Figure (s)
Oracle
Leon Battista Alberti
the Frame, the Figures, the Horizon and
the Oracle
Storytelling

9. 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?
Storytelling
• Why does this
situation exist?
•What knowledge
and skills are
missing?
• Who are the
heros of this
story?

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

11. Data
Storytelling
Visual Communication is a
process of sending and
receiving messages using
images.
Being visually literate means
working with a combination
of syntax and semantics.
Syntax is the actual form or
building blocks of an image -
its structure and
organization.
Semantics concern how
meaning or content is
created through form and
structure

12. ©2014 L. SCHLENKER
H. DAMISCHH
People remember 10% of what they
hear, 20% of what they read, but
80% of what they see
The Noun Project
83% of human learning occurs
visually
Symbols are universal and communicate a
lot of information without faster than words
Data
Storytelling

13. We can best perceive a design that is well organized. A
design that is composed well has a structure that is
easily understood and experienced.
Designers call good form “Gestalt”. It is our innate
tendencies that see as "belonging together" elements
that look alike (called "similarity grouping"), are close
together ("proximity grouping") or have structural
economy ("good continuation").
This symbol is easily read due to the
organization of the figure.
We ‘fill in’ the missing information or do
what is called ‘closure’.
The faces are implied, not fully
described. The relationship of parts
makes the faces recognizable.
http://www.metgroup.com/projects/
Data
Storytelling

14. 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

15. • Scan the context
• Qualify the data at hand
• Choose the right method
• Transform data into action
Assignment
The Business Analytics Institute
https://baieurope.com

16. 1. Create The Storyboard
2. Define Your Pitch
3. ProduceYour Message
4. Design Your Style
5. Test and Revise
Visual CV – The Design Process
Case Study

17. Storytelling with Data
Assignment
Introduce yourself - who are you
(elevator pitch)?
•Current title/company
•Previous title/company and positions
•Education
How do you fit into the company’s
story?
Demonstrate your understanding of
the challenges and opportunities of
the company
Whats your story
-Present your profile and data in the
context of that company
-adapt the C.V. to that particular industry
by focusing on the skills that will be
useful to that industry
What is their Happy Ending?
Give the company their happy ending,
tell them why they would win by hiring
you.

18. • Speak to your audience
• Relate your role and the
industry
• Put yourself in their story
• Make it readable
• Provide a feeback mechanism
Visual CV – Evaluation criteria
Assignmentand typing in "PiktoF6S"
https://create.piktochart.com/redeem "PiktoF6S"

19. • Berinato, S., (2016) Visualizations that Really Work
• Duarte N., (2014) The Quick and Dirty on Data
Visualization
• Fanguy, W/, (2017?), How Creating an Infographic
Resume Helped Me Get a Job
• Knaflic, C.N.., (2015) Storytelling with Data: A Data
Visualization Guide for Business Professionals
• Tay, D. , (2016), 70 Well-Designed Resume Examples
For Your Inspiration
• Nussbaumer, C., The Cat in the Hat Knows a lot about
Data Visualization (video)
Bibliography
Next Steps

20. • What is the organization’s business
model?
• Why does the organization focus on
data?
• How is the Data Science team
organized?
• Which data science techniques does
the organization favor ?
• What is the link between data science
and decision making?
• How does the organization use Data
Science to propel growth
Case Methodology
Case Study