SlideShare uma empresa Scribd logo
1 de 96
The Art of Speaking Data
The 5 critical communication tools you need to master
The Art of Speaking Data
DAVID WELLMAN
Hello.
Thanks to our Sponsors!
Premier
Marquee:
Prize:
The Data Analyst’s Problem…
You are the ultimate data wrangler!
A polyglot master of python and R. You know all about the
differences of linear versus logistic regression. You know
when to use a dimensionality reduction algorithm and when
to use a neural net. You have petabytes of data taking
structural-form at your command, and you have the R-
squared score to prove it!
But all of your data wrangling and number crunching won't
matter if the decision makers ignore your data!
The Manager’s Job
“Senior managers are paid to make
tough decisions. Much rides on the
outcome of those decisions and
executives are judged—quite
rightly—on their overall success rate.”
The Data Analyst’s Job
“Data Analyst’s are paid to uncover
facts hidden within the data.”
DAVID WELLMAN
NASA
Why did it fail?
The Manager vs. The Analysist
NASA
The Data Analyst’s Dilemma
The Analyst’s questions:
1. Is it possible to predict an outcome with
reasonable certainty?
2. The company has made similar decisions
many times before -- is it still the right
one?
3. I have no idea what I am doing…
The Manager’s Dilemma
The Manager’s questions:
1. Do I know what it will take to succeed?
2. Can I predict the range of possible
outcomes?
3. What are the risks and how can I avoid
them?
4. I have no idea what I am doing…
The Data Analyst’s Dilemma
“Here are my results!”
- The Smart Analyst
The Manager’s Dilemma
“No.”
- The Confused Manager
The Data Analyst’s Dilemma
“But... I worked really hard on this.”
- The Sad Analyst
The Manager’s Dilemma
“No.”
- The Mad Manager
The Dilemma
“Oh, for **** sake!”
- Both
The real dilemma!
“The problem managers face is not a lack of appropriate tools.
A wide variety of tools — including case-based decision analysis,
qualitative scenario analysis, and information markets—can be
used for decisions made under high degrees of uncertainty. But the
sheer variety can be overwhelming without clear guidance about
when to use one tool or combination of tools over another. Absent
such leadership, decision-makers will continue to rely solely on the
tools they know best in an honest but misguided attempt to
impose logic and structure on their make-or-break decisions.”
Conway’s law
“Organizations which design systems
are constrained to produce designs
which are copies of the communication
structures of these organizations.”
- M. Conway
The Struggle is Real
Stay The
Same
Make It
Change
The Struggle is Real
Make It
Change
Stay The
Same
The Struggle is Real
Reward
Risk
High Risk
High Reward
Low Risk
Low Reward
?
The Struggle is Real
Reward
Risk
High Risk
High Reward
Low Risk
Low Reward
?
Stay The
Same
Make It
Change
The Struggle is Real
Reward
Risk
High Risk
High Reward
Low Risk
Low Reward
?
Make It
Change
Stay The
Same
Speaking Truth To Power
Do what
you want
Don’t
do this
Speaking Truth To Power
Care Personally
ChallengeDirectly
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Source: Kim Malone Scott
Manipulative Insincerity
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Obnoxious
Aggression
Source: Kim Malone Scott
Obnoxious Aggression
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Obnoxious
Aggression
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Source: Kim Malone Scott
Ruinous Empathy
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
Source: Kim Malone Scott
Radical Candor
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
Source: Kim Malone Scott
Speaking Truth To Power
Care Personally
ChallengeDirectly
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
Source: Kim Malone Scott
Kicking The Needle
“You are who you choose to be.”
Kicking The Needle
Care Personally
ChallengeDirectly
Radical
Candor
Source: Kim Malone Scott
Kicking The Needle
Student of: Job is:
Kicking The Needle
 Anything good is risky  Anything hard is risky.
Student of: Job is:
Kicking The Needle
 Anything good is risky
 New Job better for it.
 Anything hard is risky.
 Same job just better at it
Student of: Job is:
Kicking The Needle
 Anything good is risky
 New Job better for it.
 New skills.
 Anything hard is risky.
 Same job just better at it
 Same skills
Student of: Job is:
Kicking The Needle
 Anything good is risky
 New Job better for it
 New skills
 Job stays hard
 Anything hard is risky.
 Same job just better at it
 Same skills
 Job get easy
Student of: Job is:
Kicking The Needle
 Anything good is risky
 New Job better for it.
 New skills.
 Job stays hard.
 New opportunities.
 Anything hard is risky.
 Same job just better at it
 Same skills
 Job get easy
 Same job
Student of: Job is:
Kicking The Needle
 Anything good is risky
 New Job better for it.
 New skills.
 Job stays hard.
 New opportunities.
 Learn everything about the job,
industry, people, problems and
opportunities.
 Anything hard is risky.
 Same job just better at it
 Same skills
 Job get easy
 Same job
 You did really well on your last
yearly evaluation – again.
Student of: Job is:
Kicking The Needle
“You can change the world after you
answer the question;
Why do you believe
the world works this way?”
Sinek Law
“People don't buy what you do; they
buy why you do it. And what you do
simply proves what you believe”
- ― Simon Sinek
What vs. Why – The Wrong Questions
WHAT
HOW
WHY
“WHAT is the results?”
“HOW” did you query it?
“WHY” should I care?
What vs. Why – The Wrong Questions
WHAT
HOW
WHY
“WHAT is the results?”
“HOW” did you query it?
“WHY” should I care?
What vs. Why – The Wrong Questions
WHAT
HOW
WH
Y
“WHAT is the data?”
“HOW” did you query it?
“WHY” should I care?
What vs. Why – The RIGHT Questions
1. Why does this matter?
WHAT
WHY
HOW
What vs. Why – The RIGHT Questions
1. Why does this matter?
WHAT
WHY
2. How does it change things? HOW
What vs. Why – The RIGHT Questions
1. Why does this matter?
WHAT
WHY
2. How does it change things? HOW
3. What does this mean to me?
What vs. Why – The RIGHT Questions
“Why” Is Simple – Simple is Hard
People will not always believe you…
 People condemn things they don’t understand.
 Seeing is different then being told.
 Anything simple is difficult to create.
 Easy isn’t simple, and simple is HARD
 We things thins need to be complicated to make them better ...
It never does, it just makes things muddy.
1. The Truth is What You Say It Is.
“Our primary job is to tell the story clearly.
Clarity is where TRUTH comes from.”
1. The Truth is What You Say It Is.
 Anything new is scary.
 Anything old is bad.
1. The Truth is What You Say It Is.
“It can’t be true. I didn’t think of it”
- ― No manager ever, right?
1. The Truth is What You Say It Is.
“Should we use Tabs or Spaces?”
- ― a really smart dumb engineer.
1. The Truth is What You Say It Is.
 The truth must be consistent.
 If the world had killer robots from the future – then your truth
must include killer robots
 Superman movie that turns into a batman movie is a stupid
superman movie.
 The empire has always been the “evil empire” and “Jedi’s are
good”
 If you business is at risk of becoming obsolete – then it has
always been that way…
1. The Truth is What You Say It Is.
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
2. Facts are Not Truths.
“Sometimes,
facts get in the way of truth.”
2. Facts are Not Truths.
 We don’t know what we don’t know.
 There is no perfect solution.
 Be humble and improve.
 Who cares about facts I just want the truth.
 Back up the truth with solid, consistent evidence.
2. Facts are Not Truths.
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
3. Theme Beats Logic.
“What if a gun had a conscience
and didn’t want to be a gun anymore?”
3. Theme Beats Logic.
That seems CRAZY, Right?
But we do it in business –
ALL THE TIME.
3. Theme Beats Logic.
What if...
a bookstore
became a data company?
3. Theme Beats Logic.
What if...
a bookstore
became a data company?
AMAZON.
3. Theme Beats Logic.
What if...
a car company
became a data company?
3. Theme Beats Logic.
What if...
a car company
became a data company?
TESLA.
3. Theme Beats Logic.
What if...
a movie company
became a data company?
3. Theme Beats Logic.
What if...
a movie company
became a data company?
NETFLIX.
3. Theme Beats Logic.
What if...
a taxi company
became a data company?
3. Theme Beats Logic.
What if...
a taxi company
became a data company?
3. Theme Beats Logic.
What if...
a medical insurance company
became a data company?
3. Theme Beats Logic.
What if...
a medical insurance company
became a data company?
?????????
3. Theme Beats Logic.
What if...
You used data to change
the heart and minds of the world?
3. Theme Beats Logic.
What if...
You used data to change
the heart and minds of the world?
Better Question!
3. Theme Beats Logic.
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
3. Theme Beats Logic.
“Stories resonate with people,
lists do not.”
4. Know WHY You believe It.
“When your belief system changes,
you change.”
4. Know WHY You believe It.
 Why people don’t change
 Avoiding pain – fear, uncertainty, guilt, condemnation.
 When your perception changes – so do you.
 Wanting change – a better life, hope, happiness.
 Back them into a corner and let them change.
 You are who you chose to be.
 Is this who you want to be?
 Really, a list?! Dang it, I hate lists.
4. Know WHY You believe It.
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
5. Stories Matter.
“Don’t forget the naysayers, the lagers,
the feet draggers, the doubters; they
make things that work better and the
thing that don’t worse, and eventually
everything becomes more human.”
5. Stories Matter.
1. Everything has always been this way.
2. Every day is the same…
3. Until something is different.
4. Then things started to change.
5. And change is hard, really hard.
6. Until one day everything is different
7. And then everything was the same.
8. See, this is a list and it sucks – nobody reads lists.
5. Stories Matter.
“The story has a proposal, an argument and a
conclusion. Once we make the proposal we
are bound to argue that proposal and the
ending must prove the point with cold hard
facts.”
5. Stories Matter.
 Tell them what you are going to tell them.
 Tell them the story.
 Show them the facts
 Tell them what you told them.
 Stop it with the lists!
5. Stories Matter
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
The 5 communication tools
The five critical communication tools you need to
master The Art of Speaking Data.
1. The truth is what you say it is.
2. Facts are not truths, but truth needs facts.
3. Theme beats logic.
4. Know why you believe it.
5. Stories resonate, list’s do not.
And, Finally…
These tools can change the
hearts & mind of the world…
So, don’t just kick the needle.
Stomp on it with everything you got.
Keep stomping on it until you’ve give your all.
You can change the world.
Choose Who You Want To Be.
Manipulative
insincerity
Ruinous
Empathy
Obnoxious
Aggression
Radical
Candor
Questions?

Mais conteúdo relacionado

Mais procurados

CYCLES course (5): Systems and System Thinking
CYCLES course (5): Systems and System ThinkingCYCLES course (5): Systems and System Thinking
CYCLES course (5): Systems and System ThinkingBryan Cassady
 
ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017
ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017
ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017alistaln
 
Thinking Fast & Slow presentation
Thinking Fast & Slow presentationThinking Fast & Slow presentation
Thinking Fast & Slow presentationLaure Parsons
 
Neuro engr 245 lean launchpad stanford 2019
Neuro engr 245 lean launchpad stanford 2019Neuro engr 245 lean launchpad stanford 2019
Neuro engr 245 lean launchpad stanford 2019Stanford University
 
Improving the development process with metrics driven insights presentation
Improving the development process with metrics driven insights presentationImproving the development process with metrics driven insights presentation
Improving the development process with metrics driven insights presentationindeedeng
 
Data driven coaching - Agile 2016 (troy magennis)
Data driven coaching  - Agile 2016 (troy magennis)Data driven coaching  - Agile 2016 (troy magennis)
Data driven coaching - Agile 2016 (troy magennis)Troy Magennis
 
CAT001: Root Cause Analysis
CAT001: Root Cause AnalysisCAT001: Root Cause Analysis
CAT001: Root Cause AnalysisCharles Tsai
 
Agile 2014 Software Moneyball (Troy Magennis)
Agile 2014   Software Moneyball (Troy Magennis)Agile 2014   Software Moneyball (Troy Magennis)
Agile 2014 Software Moneyball (Troy Magennis)Troy Magennis
 
How do we know we're delivering value? Twin Cities Agile Meetup May 9, 2017
How do we know we're delivering value?  Twin Cities Agile Meetup May 9, 2017How do we know we're delivering value?  Twin Cities Agile Meetup May 9, 2017
How do we know we're delivering value? Twin Cities Agile Meetup May 9, 2017DevJam
 
How do we know we're delivering value? MNAEG May 23, 2017
How do we know we're delivering value?   MNAEG May 23, 2017How do we know we're delivering value?   MNAEG May 23, 2017
How do we know we're delivering value? MNAEG May 23, 2017DevJam
 
Data driven-products-now
Data driven-products-nowData driven-products-now
Data driven-products-nowDan McKinley
 
I love the smell of data in the morning (getting started with data science) ...
I love the smell of data in the morning (getting started with data science)  ...I love the smell of data in the morning (getting started with data science)  ...
I love the smell of data in the morning (getting started with data science) ...Troy Magennis
 
How do you know you are delivering value agile day twin cities 11-17-2017 w...
How do you know you are delivering value   agile day twin cities 11-17-2017 w...How do you know you are delivering value   agile day twin cities 11-17-2017 w...
How do you know you are delivering value agile day twin cities 11-17-2017 w...DevJam
 
LKNA 2014 Risk and Impediment Analysis and Analytics - Troy Magennis
LKNA 2014 Risk and Impediment Analysis and Analytics - Troy MagennisLKNA 2014 Risk and Impediment Analysis and Analytics - Troy Magennis
LKNA 2014 Risk and Impediment Analysis and Analytics - Troy MagennisTroy Magennis
 
What I Learned By Talking to 100+ Teams About Data
What I Learned By Talking to 100+ Teams About DataWhat I Learned By Talking to 100+ Teams About Data
What I Learned By Talking to 100+ Teams About DataJohn Cutler
 

Mais procurados (16)

CYCLES course (5): Systems and System Thinking
CYCLES course (5): Systems and System ThinkingCYCLES course (5): Systems and System Thinking
CYCLES course (5): Systems and System Thinking
 
ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017
ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017
ACMP Pacific NW Chapter - Behavioral Insights and Neurochange - Nov 2017
 
Thinking Fast & Slow presentation
Thinking Fast & Slow presentationThinking Fast & Slow presentation
Thinking Fast & Slow presentation
 
Neuro engr 245 lean launchpad stanford 2019
Neuro engr 245 lean launchpad stanford 2019Neuro engr 245 lean launchpad stanford 2019
Neuro engr 245 lean launchpad stanford 2019
 
Improving the development process with metrics driven insights presentation
Improving the development process with metrics driven insights presentationImproving the development process with metrics driven insights presentation
Improving the development process with metrics driven insights presentation
 
Data driven coaching - Agile 2016 (troy magennis)
Data driven coaching  - Agile 2016 (troy magennis)Data driven coaching  - Agile 2016 (troy magennis)
Data driven coaching - Agile 2016 (troy magennis)
 
CAT001: Root Cause Analysis
CAT001: Root Cause AnalysisCAT001: Root Cause Analysis
CAT001: Root Cause Analysis
 
Agile 2014 Software Moneyball (Troy Magennis)
Agile 2014   Software Moneyball (Troy Magennis)Agile 2014   Software Moneyball (Troy Magennis)
Agile 2014 Software Moneyball (Troy Magennis)
 
How do we know we're delivering value? Twin Cities Agile Meetup May 9, 2017
How do we know we're delivering value?  Twin Cities Agile Meetup May 9, 2017How do we know we're delivering value?  Twin Cities Agile Meetup May 9, 2017
How do we know we're delivering value? Twin Cities Agile Meetup May 9, 2017
 
How do we know we're delivering value? MNAEG May 23, 2017
How do we know we're delivering value?   MNAEG May 23, 2017How do we know we're delivering value?   MNAEG May 23, 2017
How do we know we're delivering value? MNAEG May 23, 2017
 
Data driven-products-now
Data driven-products-nowData driven-products-now
Data driven-products-now
 
I love the smell of data in the morning (getting started with data science) ...
I love the smell of data in the morning (getting started with data science)  ...I love the smell of data in the morning (getting started with data science)  ...
I love the smell of data in the morning (getting started with data science) ...
 
How do you know you are delivering value agile day twin cities 11-17-2017 w...
How do you know you are delivering value   agile day twin cities 11-17-2017 w...How do you know you are delivering value   agile day twin cities 11-17-2017 w...
How do you know you are delivering value agile day twin cities 11-17-2017 w...
 
Reliably producing breakthroughs
Reliably producing breakthroughsReliably producing breakthroughs
Reliably producing breakthroughs
 
LKNA 2014 Risk and Impediment Analysis and Analytics - Troy Magennis
LKNA 2014 Risk and Impediment Analysis and Analytics - Troy MagennisLKNA 2014 Risk and Impediment Analysis and Analytics - Troy Magennis
LKNA 2014 Risk and Impediment Analysis and Analytics - Troy Magennis
 
What I Learned By Talking to 100+ Teams About Data
What I Learned By Talking to 100+ Teams About DataWhat I Learned By Talking to 100+ Teams About Data
What I Learned By Talking to 100+ Teams About Data
 

Semelhante a The Art of Speaking Data.

Data-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision Making
Data-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision MakingData-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision Making
Data-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision Makingindeedeng
 
QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...
QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...
QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...Tim Miles
 
Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...
Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...
Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...Sri Ambati
 
Slides from Growthcon 2014 Lean Analytics masterclass
Slides from Growthcon 2014 Lean Analytics masterclassSlides from Growthcon 2014 Lean Analytics masterclass
Slides from Growthcon 2014 Lean Analytics masterclassLean Analytics
 
The ultimate guide to data storytelling | Materclass
The ultimate guide to data storytelling | MaterclassThe ultimate guide to data storytelling | Materclass
The ultimate guide to data storytelling | MaterclassGramener
 
The Real Lessons of Dr. Deming’s Red Bead Factory
The Real Lessons of Dr. Deming’s Red Bead FactoryThe Real Lessons of Dr. Deming’s Red Bead Factory
The Real Lessons of Dr. Deming’s Red Bead FactoryMark Graban
 
The Cloudticity Culture
The Cloudticity CultureThe Cloudticity Culture
The Cloudticity CultureGerry Miller
 
Automated decision making with predictive applications – Big Data Frankfurt
Automated decision making with predictive applications – Big Data FrankfurtAutomated decision making with predictive applications – Big Data Frankfurt
Automated decision making with predictive applications – Big Data FrankfurtLars Trieloff
 
Designing with People: Balancing Data & Rational Thinking with Human Emotions
Designing with People: Balancing Data & Rational Thinking with Human EmotionsDesigning with People: Balancing Data & Rational Thinking with Human Emotions
Designing with People: Balancing Data & Rational Thinking with Human EmotionsBrad Gutting
 
Content, Data and Humans
Content, Data and HumansContent, Data and Humans
Content, Data and HumansRandall Snare
 
QA's lead role in agile transformations
QA's lead role in agile transformationsQA's lead role in agile transformations
QA's lead role in agile transformationsDave Ungar
 
The Change Challenge
 The Change Challenge  The Change Challenge
The Change Challenge Lois Kelly
 
Automated Decision making with Predictive Applications – Big Data Hamburg
Automated Decision making with Predictive Applications – Big Data HamburgAutomated Decision making with Predictive Applications – Big Data Hamburg
Automated Decision making with Predictive Applications – Big Data HamburgLars Trieloff
 
Sxsw web-book-1280x800-v4-150328124217-conversion-gate01
Sxsw web-book-1280x800-v4-150328124217-conversion-gate01Sxsw web-book-1280x800-v4-150328124217-conversion-gate01
Sxsw web-book-1280x800-v4-150328124217-conversion-gate01Dale Sternberg
 
Six Reasons Business and Analytic Professionals are Destined to Clash
Six Reasons Business and Analytic Professionals are Destined to ClashSix Reasons Business and Analytic Professionals are Destined to Clash
Six Reasons Business and Analytic Professionals are Destined to ClashWendy Lynch
 
Market research for startups
Market research for startupsMarket research for startups
Market research for startupsOlga Makarova
 
Small Moments in Big Data
Small Moments in Big DataSmall Moments in Big Data
Small Moments in Big DataBen Holliday
 
2 Cycles Remote Innovation - Alignment
2  Cycles Remote Innovation -  Alignment2  Cycles Remote Innovation -  Alignment
2 Cycles Remote Innovation - AlignmentBryan Cassady
 

Semelhante a The Art of Speaking Data. (20)

Data-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision Making
Data-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision MakingData-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision Making
Data-Driven off a Cliff: Anti-Patterns in Evidence-Based Decision Making
 
QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...
QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...
QCS Leadership Conference 2019 - Managing Change From The Inside Out & Strate...
 
Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...
Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...
Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant P...
 
Slides from Growthcon 2014 Lean Analytics masterclass
Slides from Growthcon 2014 Lean Analytics masterclassSlides from Growthcon 2014 Lean Analytics masterclass
Slides from Growthcon 2014 Lean Analytics masterclass
 
The ultimate guide to data storytelling | Materclass
The ultimate guide to data storytelling | MaterclassThe ultimate guide to data storytelling | Materclass
The ultimate guide to data storytelling | Materclass
 
The Real Lessons of Dr. Deming’s Red Bead Factory
The Real Lessons of Dr. Deming’s Red Bead FactoryThe Real Lessons of Dr. Deming’s Red Bead Factory
The Real Lessons of Dr. Deming’s Red Bead Factory
 
The Cloudticity Culture
The Cloudticity CultureThe Cloudticity Culture
The Cloudticity Culture
 
Automated decision making with predictive applications – Big Data Frankfurt
Automated decision making with predictive applications – Big Data FrankfurtAutomated decision making with predictive applications – Big Data Frankfurt
Automated decision making with predictive applications – Big Data Frankfurt
 
Designing with People: Balancing Data & Rational Thinking with Human Emotions
Designing with People: Balancing Data & Rational Thinking with Human EmotionsDesigning with People: Balancing Data & Rational Thinking with Human Emotions
Designing with People: Balancing Data & Rational Thinking with Human Emotions
 
Content, Data and Humans
Content, Data and HumansContent, Data and Humans
Content, Data and Humans
 
QA's lead role in agile transformations
QA's lead role in agile transformationsQA's lead role in agile transformations
QA's lead role in agile transformations
 
The Change Challenge
 The Change Challenge  The Change Challenge
The Change Challenge
 
Automated Decision making with Predictive Applications – Big Data Hamburg
Automated Decision making with Predictive Applications – Big Data HamburgAutomated Decision making with Predictive Applications – Big Data Hamburg
Automated Decision making with Predictive Applications – Big Data Hamburg
 
Isolation is a Good Thing 11-11-10
Isolation is a Good Thing 11-11-10Isolation is a Good Thing 11-11-10
Isolation is a Good Thing 11-11-10
 
Sxsw web-book-1280x800-v4-150328124217-conversion-gate01
Sxsw web-book-1280x800-v4-150328124217-conversion-gate01Sxsw web-book-1280x800-v4-150328124217-conversion-gate01
Sxsw web-book-1280x800-v4-150328124217-conversion-gate01
 
25 Things You Missed at SXSW 2015 by Gapingvoid
25 Things You Missed at SXSW 2015 by Gapingvoid25 Things You Missed at SXSW 2015 by Gapingvoid
25 Things You Missed at SXSW 2015 by Gapingvoid
 
Six Reasons Business and Analytic Professionals are Destined to Clash
Six Reasons Business and Analytic Professionals are Destined to ClashSix Reasons Business and Analytic Professionals are Destined to Clash
Six Reasons Business and Analytic Professionals are Destined to Clash
 
Market research for startups
Market research for startupsMarket research for startups
Market research for startups
 
Small Moments in Big Data
Small Moments in Big DataSmall Moments in Big Data
Small Moments in Big Data
 
2 Cycles Remote Innovation - Alignment
2  Cycles Remote Innovation -  Alignment2  Cycles Remote Innovation -  Alignment
2 Cycles Remote Innovation - Alignment
 

Último

NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxBoston Institute of Analytics
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degreeyuu sss
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Colleen Farrelly
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectBoston Institute of Analytics
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfJohn Sterrett
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.pptamreenkhanum0307
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfBoston Institute of Analytics
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSINGmarianagonzalez07
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...Boston Institute of Analytics
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一fhwihughh
 
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...ssuserf63bd7
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样vhwb25kk
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 

Último (20)

NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis Project
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdf
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.ppt
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
 
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 

The Art of Speaking Data.

  • 1. The Art of Speaking Data The 5 critical communication tools you need to master The Art of Speaking Data
  • 3. Thanks to our Sponsors! Premier Marquee: Prize:
  • 4. The Data Analyst’s Problem… You are the ultimate data wrangler! A polyglot master of python and R. You know all about the differences of linear versus logistic regression. You know when to use a dimensionality reduction algorithm and when to use a neural net. You have petabytes of data taking structural-form at your command, and you have the R- squared score to prove it! But all of your data wrangling and number crunching won't matter if the decision makers ignore your data!
  • 5. The Manager’s Job “Senior managers are paid to make tough decisions. Much rides on the outcome of those decisions and executives are judged—quite rightly—on their overall success rate.”
  • 6. The Data Analyst’s Job “Data Analyst’s are paid to uncover facts hidden within the data.”
  • 9.
  • 10. Why did it fail? The Manager vs. The Analysist
  • 11. NASA
  • 12. The Data Analyst’s Dilemma The Analyst’s questions: 1. Is it possible to predict an outcome with reasonable certainty? 2. The company has made similar decisions many times before -- is it still the right one? 3. I have no idea what I am doing…
  • 13. The Manager’s Dilemma The Manager’s questions: 1. Do I know what it will take to succeed? 2. Can I predict the range of possible outcomes? 3. What are the risks and how can I avoid them? 4. I have no idea what I am doing…
  • 14. The Data Analyst’s Dilemma “Here are my results!” - The Smart Analyst
  • 15. The Manager’s Dilemma “No.” - The Confused Manager
  • 16. The Data Analyst’s Dilemma “But... I worked really hard on this.” - The Sad Analyst
  • 18. The Dilemma “Oh, for **** sake!” - Both
  • 19. The real dilemma! “The problem managers face is not a lack of appropriate tools. A wide variety of tools — including case-based decision analysis, qualitative scenario analysis, and information markets—can be used for decisions made under high degrees of uncertainty. But the sheer variety can be overwhelming without clear guidance about when to use one tool or combination of tools over another. Absent such leadership, decision-makers will continue to rely solely on the tools they know best in an honest but misguided attempt to impose logic and structure on their make-or-break decisions.”
  • 20. Conway’s law “Organizations which design systems are constrained to produce designs which are copies of the communication structures of these organizations.” - M. Conway
  • 21. The Struggle is Real Stay The Same Make It Change
  • 22. The Struggle is Real Make It Change Stay The Same
  • 23. The Struggle is Real Reward Risk High Risk High Reward Low Risk Low Reward ?
  • 24. The Struggle is Real Reward Risk High Risk High Reward Low Risk Low Reward ? Stay The Same Make It Change
  • 25. The Struggle is Real Reward Risk High Risk High Reward Low Risk Low Reward ? Make It Change Stay The Same
  • 26. Speaking Truth To Power Do what you want Don’t do this
  • 27. Speaking Truth To Power Care Personally ChallengeDirectly Source: Kim Malone Scott
  • 28. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Source: Kim Malone Scott
  • 30. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Source: Kim Malone Scott
  • 31. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Obnoxious Aggression Source: Kim Malone Scott
  • 33. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Obnoxious Aggression Source: Kim Malone Scott
  • 34. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Ruinous Empathy Obnoxious Aggression Source: Kim Malone Scott
  • 36. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Ruinous Empathy Obnoxious Aggression Source: Kim Malone Scott
  • 37. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor Source: Kim Malone Scott
  • 39. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor Source: Kim Malone Scott
  • 40. Speaking Truth To Power Care Personally ChallengeDirectly Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor Source: Kim Malone Scott
  • 41. Kicking The Needle “You are who you choose to be.”
  • 42. Kicking The Needle Care Personally ChallengeDirectly Radical Candor Source: Kim Malone Scott
  • 44. Kicking The Needle  Anything good is risky  Anything hard is risky. Student of: Job is:
  • 45. Kicking The Needle  Anything good is risky  New Job better for it.  Anything hard is risky.  Same job just better at it Student of: Job is:
  • 46. Kicking The Needle  Anything good is risky  New Job better for it.  New skills.  Anything hard is risky.  Same job just better at it  Same skills Student of: Job is:
  • 47. Kicking The Needle  Anything good is risky  New Job better for it  New skills  Job stays hard  Anything hard is risky.  Same job just better at it  Same skills  Job get easy Student of: Job is:
  • 48. Kicking The Needle  Anything good is risky  New Job better for it.  New skills.  Job stays hard.  New opportunities.  Anything hard is risky.  Same job just better at it  Same skills  Job get easy  Same job Student of: Job is:
  • 49. Kicking The Needle  Anything good is risky  New Job better for it.  New skills.  Job stays hard.  New opportunities.  Learn everything about the job, industry, people, problems and opportunities.  Anything hard is risky.  Same job just better at it  Same skills  Job get easy  Same job  You did really well on your last yearly evaluation – again. Student of: Job is:
  • 50. Kicking The Needle “You can change the world after you answer the question; Why do you believe the world works this way?”
  • 51. Sinek Law “People don't buy what you do; they buy why you do it. And what you do simply proves what you believe” - ― Simon Sinek
  • 52. What vs. Why – The Wrong Questions WHAT HOW WHY “WHAT is the results?” “HOW” did you query it? “WHY” should I care?
  • 53. What vs. Why – The Wrong Questions WHAT HOW WHY “WHAT is the results?” “HOW” did you query it? “WHY” should I care?
  • 54. What vs. Why – The Wrong Questions WHAT HOW WH Y “WHAT is the data?” “HOW” did you query it? “WHY” should I care?
  • 55. What vs. Why – The RIGHT Questions 1. Why does this matter? WHAT WHY HOW
  • 56. What vs. Why – The RIGHT Questions 1. Why does this matter? WHAT WHY 2. How does it change things? HOW
  • 57. What vs. Why – The RIGHT Questions 1. Why does this matter? WHAT WHY 2. How does it change things? HOW 3. What does this mean to me?
  • 58. What vs. Why – The RIGHT Questions
  • 59. “Why” Is Simple – Simple is Hard People will not always believe you…  People condemn things they don’t understand.  Seeing is different then being told.  Anything simple is difficult to create.  Easy isn’t simple, and simple is HARD  We things thins need to be complicated to make them better ... It never does, it just makes things muddy.
  • 60. 1. The Truth is What You Say It Is. “Our primary job is to tell the story clearly. Clarity is where TRUTH comes from.”
  • 61. 1. The Truth is What You Say It Is.  Anything new is scary.  Anything old is bad.
  • 62. 1. The Truth is What You Say It Is. “It can’t be true. I didn’t think of it” - ― No manager ever, right?
  • 63. 1. The Truth is What You Say It Is. “Should we use Tabs or Spaces?” - ― a really smart dumb engineer.
  • 64. 1. The Truth is What You Say It Is.  The truth must be consistent.  If the world had killer robots from the future – then your truth must include killer robots  Superman movie that turns into a batman movie is a stupid superman movie.  The empire has always been the “evil empire” and “Jedi’s are good”  If you business is at risk of becoming obsolete – then it has always been that way…
  • 65. 1. The Truth is What You Say It Is. Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor
  • 66. 2. Facts are Not Truths. “Sometimes, facts get in the way of truth.”
  • 67. 2. Facts are Not Truths.  We don’t know what we don’t know.  There is no perfect solution.  Be humble and improve.  Who cares about facts I just want the truth.  Back up the truth with solid, consistent evidence.
  • 68. 2. Facts are Not Truths. Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor
  • 69. 3. Theme Beats Logic. “What if a gun had a conscience and didn’t want to be a gun anymore?”
  • 70. 3. Theme Beats Logic. That seems CRAZY, Right? But we do it in business – ALL THE TIME.
  • 71. 3. Theme Beats Logic. What if... a bookstore became a data company?
  • 72. 3. Theme Beats Logic. What if... a bookstore became a data company? AMAZON.
  • 73. 3. Theme Beats Logic. What if... a car company became a data company?
  • 74. 3. Theme Beats Logic. What if... a car company became a data company? TESLA.
  • 75. 3. Theme Beats Logic. What if... a movie company became a data company?
  • 76. 3. Theme Beats Logic. What if... a movie company became a data company? NETFLIX.
  • 77. 3. Theme Beats Logic. What if... a taxi company became a data company?
  • 78. 3. Theme Beats Logic. What if... a taxi company became a data company?
  • 79. 3. Theme Beats Logic. What if... a medical insurance company became a data company?
  • 80. 3. Theme Beats Logic. What if... a medical insurance company became a data company? ?????????
  • 81. 3. Theme Beats Logic. What if... You used data to change the heart and minds of the world?
  • 82. 3. Theme Beats Logic. What if... You used data to change the heart and minds of the world? Better Question!
  • 83. 3. Theme Beats Logic. Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor
  • 84. 3. Theme Beats Logic. “Stories resonate with people, lists do not.”
  • 85. 4. Know WHY You believe It. “When your belief system changes, you change.”
  • 86. 4. Know WHY You believe It.  Why people don’t change  Avoiding pain – fear, uncertainty, guilt, condemnation.  When your perception changes – so do you.  Wanting change – a better life, hope, happiness.  Back them into a corner and let them change.  You are who you chose to be.  Is this who you want to be?  Really, a list?! Dang it, I hate lists.
  • 87. 4. Know WHY You believe It. Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor
  • 88. 5. Stories Matter. “Don’t forget the naysayers, the lagers, the feet draggers, the doubters; they make things that work better and the thing that don’t worse, and eventually everything becomes more human.”
  • 89. 5. Stories Matter. 1. Everything has always been this way. 2. Every day is the same… 3. Until something is different. 4. Then things started to change. 5. And change is hard, really hard. 6. Until one day everything is different 7. And then everything was the same. 8. See, this is a list and it sucks – nobody reads lists.
  • 90. 5. Stories Matter. “The story has a proposal, an argument and a conclusion. Once we make the proposal we are bound to argue that proposal and the ending must prove the point with cold hard facts.”
  • 91. 5. Stories Matter.  Tell them what you are going to tell them.  Tell them the story.  Show them the facts  Tell them what you told them.  Stop it with the lists!
  • 93. The 5 communication tools The five critical communication tools you need to master The Art of Speaking Data. 1. The truth is what you say it is. 2. Facts are not truths, but truth needs facts. 3. Theme beats logic. 4. Know why you believe it. 5. Stories resonate, list’s do not.
  • 94. And, Finally… These tools can change the hearts & mind of the world… So, don’t just kick the needle. Stomp on it with everything you got. Keep stomping on it until you’ve give your all. You can change the world.
  • 95. Choose Who You Want To Be. Manipulative insincerity Ruinous Empathy Obnoxious Aggression Radical Candor