©Analytic-translator.com
Wendy D. Lynch PhD.
Exploring Levels of
Data Literacy
What is needed, by
whom?
Where is this
interest in
data abilities
coming from?
Where is this
interest in
data abilities
coming from?
Data masters
Data enabled
Data Aware
Data Laggards
Data
behaviors
–
people
&
process
Data foundations – technology and tools
70% higher revenue per employee
Now, more than ever
The analytics field will grow to
almost $70B by 2030.
Almost all (97.2%) of large
organizations are investing in
big data and AI.
1. https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data
2. US Census. 2021.
$67 B
Companies will need 25% more
analysts by 2030.
Generating more data, faster
than ever before.
How many projects make it?
Promise of
Big Data
Successful
Business
Application
Too few, it seems
Promise of
Big Data
Successful
Business
Application
•85% of big data projects fail.
https://designingforanalytics.com/resources/failure-rates-for-analytics-bi-iot-and-big-data-projects-85-yikes/
•87% of data science projects never make it into production
•Only 20% of analytics insights deliver business value
•Only 50% of business decisions are made using data
©Analytic-translator.com
19%
47%
27%
8%
0%
10%
20%
30%
40%
50%
60%
Frustrating-no
context-one way
OK-Some context-
still one-way
Good-get context-
invite input.
Awesome-A total
collaboration
How analytic teams describes interactions with business
“They give me a
request with little
or no context.”
©Analytic-translator.com
17%
50%
27%
7%
0%
10%
20%
30%
40%
50%
60%
Frustrating. Not
often
Adequate.
Sometimes
Good. Quite often Awesome. Always.
“They don’t give
me what I need in
a way I can
understand….”
How business teams describe interactions with analytics
Employee population
Capabilities
Read/recognize
Understand
Convince with
Explain complex analytics
Teach/perform analysis
Proficiency
With
Data
Population
Ninety percent of business
leaders believe data literacy will
be critical to their success.
1. https://hbr.org/2021/08/how-data-literate-is-your-company
So, it’s not surprising
Data Literacy
How literate?
The least literate teams
were identified as Human
Resources and Sales
Employee population
Capabilities
Read/recognize
Understand
Convince with
Explain complex analytics
Teach/perform analysis
Proficiency
With
Data
Population
75 percent of business leaders
believe most or all of their
workers are data literate
1. https://hbr.org/2021/08/how-data-literate-is-your-company
Data Literacy
Who is literate now?
BUT only 50% of middle managers
Employee population
Capabilities
Read/recognize
Understand
Convince with
Explain complex analytics
Teach/perform analysis
Proficiency
With
Data
Population
25 percent of employees are
confident in their data skills.
1. https://hbr.org/2021/08/how-data-literate-is-your-company
Who is actually literate now?
Some studies report as few as
8% are highly skilled.
Employee population
Capabilities
Proficiency
With
Data
Population
And what can we expect ?
29% of US adults
cannot interpret a
simple graph
19% of US adults
have severe math
anxiety
62% of US adults
operate a very base
math level Detectible on
fMRI as pain
and fear.
There are some limits to
the number of people
who will become highly
data literate.
Weight loss is easy!!
Exercise
is easy!!
Data
science is
easy!
Employee population
Capabilities
Proficiency
With
Data
Population
How do we improve data literacy?
Mandatory education on
basics of data integrity,
reliability, manipulation
and elementary statistics
An admirable goal.
Is it realistic?
Next concept: Strategic Alignment
(a.k.a. Business Literacy)
People and processes are aligned in
their purpose and goals.
Proficiency
With
Business
Strategy
Companies whose people are
aligned on strategy grow
revenue 58% faster and are 72%
more profitable
Capabilities
Employee population
Do my job
Connect my job to KPIs
Tie decisions to strategy
Create strategy
Can communicate strategy
Strategic
Alignment
Strategic Alignment
52% of executives have confidence
that most employees can explain
company strategy
Leaders think strategy is clear
20% of executives have HIGH confidence
a.k.a.Business Literacy
Capabilities
Employee population
Do my job
Connect my job to KPIs
Tie activities to strategy
Create strategy
Can communicate strategy
Strategic
Alignment
Strategic Alignment
How many understand strategy?
Only 29.3 percent correctly
identified business strategy
From a multiple-choice list
According to a study by PWC, 93% of
employees could not articulate their
company’s strategy
lodestarsolutions.com/PwC’s Strategy&, 2017/https://sloanreview.mit.edu/article/no-one-knows-your-strategy-not-even-your-top-leaders/
Only 13% of
frontline managers
could name their
company’s top
three priorities
Strategic alignment between
business and technology explains
80% of the difference between
company performance
Business and technology executives differ
on whether data strategy is aligned with organizational vision
Strategic Alignment is easy!
Get everyone aligned.
Because I said so.
Capabilities
Employee population
Do my job
Connect my job to KPIs
Tie activities to strategy
Create strategy
Can communicate strategy
Strategic
Alignment
How do we increase business literacy?
Mandatory education on
strategic priorities,
consistent messaging &
aligned KPIs
Next concept: Emotional/Social Awareness
(a.k.a. People literacy)
Proficiency
With
Business
Strategy
80% of long-term job success
depends on EQ, while only 20% on IQ
Managers with high EQ had
teams that averaged
15-20% higher revenue
52% of HR leaders say they
will be hiring managers
based on their emotional
intelligence
Employee population
Capabilities
Self aware
Recognize
Social skills
Guide others
Emotional
and Social
awareness
and ability
Population
Empathize
What is it?
People Literacy
https://www.forbes.com/sites/servicenow/2022/09/14/digital-transformation-is-80-eq-and-20-iq/
The EYES test
36 sets of eyes. Identify emotion that is expressed. Indicates empathy.
Average score is 23.
People majoring in science and business have significantly
lower empathy than people in social sciences.
https://journals.sagepub.com/doi/abs/10.1177/1069072709334233
Self aware
Recognize
Social skills
Guide others
Emotional
and Social
awareness
and ability
Population
Empathize
95 percent of people think they’re self-
aware, but only 10 to 15 percent actually are
Only 36% of people are able to
recognize and identify emotions.
How many have people literacy?
Employee population
Capabilities
Self aware
Recognize
Social skills
Guide others
Emotional
and Social
awareness
and ability
Population
Empathize
Why it’s especially important for data efforts
90% of companies intend to accelerate
digital transformation.
People Literacy
It’s people issues that make or break it
https://www.forbes.com/sites/servicenow/2022/09/14/digital-transformation-is-80-eq-and-20-iq/
70% of transformation projects fall short.
How do we increase people literacy?
Employee population
Emotional
and Social
awareness
and ability
Population
Mandatory
education to
improve awareness
(self and other)
Along with
coaching and
feedback
Emotions are
easy!!
How would you rate your data literacy
Record your own answer
I’m allergic to
data and math
1 2 3 4 5
I know what
statistical tests
should be applied to
answer a question
I choose and
perform advanced
modeling techniques
in my job
I am
comfortable
explaining
what basic
analytic
results mean
I can read
charts and
understand
them
How would you rate your business literacy:
Record your own answer
I just do my
job
I know how our
company is
performing on all its
key metrics
1 2 3 4 5
I can give a
comprehensive
explanation of
business strategy
for my company
I develop corporate
strategy and create
the metrics that
measure it, and
communicate it
I know how
my work ties
into company
goals
How would you rate your people literacy:
Record your own answer
Emotions just
get in the way
of getting
things done
I empathize with
others and am
comfortable
handling and
acknowledging
negative emotion
1 2 3 4 5
I can accurately
identify my own and
others’ feelings
I teach others how
to recognize and
handle emotional
issues and situations
I can’t always
tell what
others are
feeling
Very few have high expertise in more than one area
More than half say they score a 3 or higher in multiple areas.
VERY few, if any, say they score a 5 in multiple areas.
PhD
Masters
1% 0.15%
one two one two
Bachelors
9%
one Double
major
3%
10%
36%
Employee population
Capabilities
Literacy
People
What we want: High Literacy
Literacy
People
What we have
DATA PEOPLE
BUSINESS
Different efforts
People
Literacy
Business
Literacy
Data
Literacy
Owned by different groups
D
P B
Employee population
We all have different strengths
D
P B
Employee population
We all have different strengths
….and weaknesses
D
P B
Employee population
We all have different strengths
….and weaknesses
Employee population
We all have different strengths
I’m an
analytics
expert
I’m a
business
expert
I’m a translator
….for some that is translation
D
P B
Employee population
We all have different strengths
….and interests
Employee population
We all have different strengths
….for some it is tech-savvy end-users
I love
teaching
analytics
I love process
and
collaboration
I want to
learn new
skills
D
P B
Employee population
Collectively, we have many strengths
….that we can leverage
D
P B
Employee population
Collectively, we have many strengths
….that we can leverage
Making aligned decisions
(with evidence and empathy)
1. Data literacy is a solitary solution
2. By itself, data literacy will make decisions
data-driven
3. Everyone can/must become highly
literate
4. We want non-experts to become more
expert
5. Creates a superior-inferior dynamic
Maybe it belongs in a broader, integrated context
There are strategic and social requirements
Realistically, people have varying strengths
Maybe there are combo-roles
(translators, tech-savvy. citizen developers)
Recognize strengths, fortify weaknesses
If we think about data literacy ……..
Separately vs. Within Context
To consider:
• Can your data literacy efforts be put in context?
• Which departments/professions might collaborate?
• How does a holistic perspective shift your approach?
• What combination roles might be useful?
If your company has been incorporating or integrating data literacy into other areas,
please reach out to me. wendy@lynchconsultingltd.com
Exploring Levels of Data Literacy
©Analytic-translator.com
Wendy D. Lynch
Clydette de Groot
wendy@analytic-translator.com
Book
Online Course

More Related Content

PDF
Emerging Trends in Data Architecture – What’s the Next Big Thing?
PDF
Building a Data Strategy – Practical Steps for Aligning with Business Goals
PDF
Business Intelligence & Data Analytics– An Architected Approach
PDF
Data at the Speed of Business with Data Mastering and Governance
PDF
Data Quality Best Practices
PDF
8 Steps to Creating a Data Strategy
PPTX
Nisha revrse vaccinology
PDF
Data Governance Takes a Village (So Why is Everyone Hiding?)
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Business Intelligence & Data Analytics– An Architected Approach
Data at the Speed of Business with Data Mastering and Governance
Data Quality Best Practices
8 Steps to Creating a Data Strategy
Nisha revrse vaccinology
Data Governance Takes a Village (So Why is Everyone Hiding?)

What's hot (20)

PPTX
Enterprise Data Architecture Deliverables
PDF
You Need a Data Catalog. Do You Know Why?
PDF
Improving Data Literacy Around Data Architecture
PDF
Data-Ed Webinar: Data Quality Success Stories
PDF
The what, why, and how of master data management
PDF
Data strategy in a Big Data world
PDF
Best Practices for Killer Data Visualization
PDF
Rethinking Trust in Data
PDF
Introduction to Data Governance
PDF
DAS Slides: Data Governance - Combining Data Management with Organizational ...
PDF
Data Catalogs Are the Answer – What is the Question?
PDF
Mdm: why, when, how
PDF
Building a Data Strategy – Practical Steps for Aligning with Business Goals
PPTX
Incorporating ERP metadata in your data models
PDF
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
PPTX
Introduction to Data Management Maturity Models
PPTX
Capability Model_Data Governance
PDF
Data Governance — Aligning Technical and Business Approaches
PPTX
Data Governance Workshop
 
PDF
Data Modeling, Data Governance, & Data Quality
Enterprise Data Architecture Deliverables
You Need a Data Catalog. Do You Know Why?
Improving Data Literacy Around Data Architecture
Data-Ed Webinar: Data Quality Success Stories
The what, why, and how of master data management
Data strategy in a Big Data world
Best Practices for Killer Data Visualization
Rethinking Trust in Data
Introduction to Data Governance
DAS Slides: Data Governance - Combining Data Management with Organizational ...
Data Catalogs Are the Answer – What is the Question?
Mdm: why, when, how
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Incorporating ERP metadata in your data models
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
Introduction to Data Management Maturity Models
Capability Model_Data Governance
Data Governance — Aligning Technical and Business Approaches
Data Governance Workshop
 
Data Modeling, Data Governance, & Data Quality
Ad

Similar to Exploring Levels of Data Literacy (20)

PPTX
What Companies Get Wrong about Data Literacy
PDF
THE SKILLS CURRENCY: UNLOCKING INTERNAL MOBILITY WITH REAL SKILLS DATA
PPTX
How to get the most of your Data & Analytcs
PDF
10 min guide to Marketing Automation: What is the one common threat all marke...
PPTX
10 Steps to Develop a Data Literate Workforce
PDF
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
PPTX
Crafting Data Driven Buyer Personas
PDF
Future of Work OI Global Research Study
 
PDF
Futureproofing In House PR Teams - 3 Monkeys & PR Moment
PDF
How AI could BREAK "recruiting for diversity"
PDF
The Human Face of Data: People Science
PDF
Digital Team Structure: The Foundation for Innovation
PDF
THE DATAFICATION OF TALENT MANAGEMENT: HOW PEOPLE ANALYTICS LEADS TO STRATEGI...
PPTX
Failure to Connect: Why You're Not Getting More From SharePoint
PDF
The Case Against Splitting HR: How to Become a True Strategic Advisor
PDF
Oct 2017 Measurement Hour: Highlights from the Summit on the Future of Measur...
PPTX
Revelian's People Analytics 2015
PDF
Big Data = Big Headache? Using People Analytics to Fuel ROI
PPTX
Big Data & Big Learning- A Talk by Surya Mohapatra at HR Tech World Congress ...
PPTX
Why Sales and Marketing Specialists will become Big Data Scientists
What Companies Get Wrong about Data Literacy
THE SKILLS CURRENCY: UNLOCKING INTERNAL MOBILITY WITH REAL SKILLS DATA
How to get the most of your Data & Analytcs
10 min guide to Marketing Automation: What is the one common threat all marke...
10 Steps to Develop a Data Literate Workforce
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...
Crafting Data Driven Buyer Personas
Future of Work OI Global Research Study
 
Futureproofing In House PR Teams - 3 Monkeys & PR Moment
How AI could BREAK "recruiting for diversity"
The Human Face of Data: People Science
Digital Team Structure: The Foundation for Innovation
THE DATAFICATION OF TALENT MANAGEMENT: HOW PEOPLE ANALYTICS LEADS TO STRATEGI...
Failure to Connect: Why You're Not Getting More From SharePoint
The Case Against Splitting HR: How to Become a True Strategic Advisor
Oct 2017 Measurement Hour: Highlights from the Summit on the Future of Measur...
Revelian's People Analytics 2015
Big Data = Big Headache? Using People Analytics to Fuel ROI
Big Data & Big Learning- A Talk by Surya Mohapatra at HR Tech World Congress ...
Why Sales and Marketing Specialists will become Big Data Scientists
Ad

More from DATAVERSITY (20)

PDF
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
PDF
Make Data Work for You
PDF
Data Catalogs Are the Answer – What Is the Question?
PDF
Data Modeling Fundamentals
PDF
Showing ROI for Your Analytic Project
PDF
How a Semantic Layer Makes Data Mesh Work at Scale
PDF
Is Enterprise Data Literacy Possible?
PDF
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
PDF
Data Governance Trends - A Look Backwards and Forwards
PDF
Data Governance Trends and Best Practices To Implement Today
PDF
2023 Trends in Enterprise Analytics
PDF
Data Strategy Best Practices
PDF
Who Should Own Data Governance – IT or Business?
PDF
Data Management Best Practices
PDF
MLOps – Applying DevOps to Competitive Advantage
PDF
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
PDF
Empowering the Data Driven Business with Modern Business Intelligence
PDF
Enterprise Architecture vs. Data Architecture
PDF
Data Governance Best Practices, Assessments, and Roadmaps
PDF
Including All Your Mission-Critical Data in Modern Apps and Analytics
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Make Data Work for You
Data Catalogs Are the Answer – What Is the Question?
Data Modeling Fundamentals
Showing ROI for Your Analytic Project
How a Semantic Layer Makes Data Mesh Work at Scale
Is Enterprise Data Literacy Possible?
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends and Best Practices To Implement Today
2023 Trends in Enterprise Analytics
Data Strategy Best Practices
Who Should Own Data Governance – IT or Business?
Data Management Best Practices
MLOps – Applying DevOps to Competitive Advantage
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Empowering the Data Driven Business with Modern Business Intelligence
Enterprise Architecture vs. Data Architecture
Data Governance Best Practices, Assessments, and Roadmaps
Including All Your Mission-Critical Data in Modern Apps and Analytics

Recently uploaded (20)

PPTX
DIGITAL DESIGN AND.pptx hhhhhhhhhhhhhhhhh
PDF
NU-MEP-Standards معايير تصميم جامعية .pdf
PPTX
PPT for Diseases (1)-2, types of diseases.pptx
PPTX
Reinforcement learning in artificial intelligence and deep learning
PDF
General category merit rank list for neet pg
PDF
Q1-wK1-Human-and-Cultural-Variation-sy-2024-2025-Copy-1.pdf
PPTX
DAA UNIT 1 for unit 1 time compixity PPT.pptx
PDF
book-34714 (2).pdfhjkkljgfdssawtjiiiiiujj
PPTX
inbound6529290805104538764.pptxmmmmmmmmm
PPTX
Sheep Seg. Marketing Plan_C2 2025 (1).pptx
PPTX
9 Bioterrorism.pptxnsbhsjdgdhdvkdbebrkndbd
PDF
Introduction to Database Systems Lec # 1
PPTX
Basic Statistical Analysis for experimental data.pptx
PPT
Technicalities in writing workshops indigenous language
PDF
Delhi c@ll girl# cute girls in delhi with travel girls in delhi call now
PDF
PPT nikita containers of the company use
PPTX
research framework and review of related literature chapter 2
PPTX
transformers as a tool for understanding advance algorithms in deep learning
PPT
2011 HCRP presentation-final.pptjrirrififfi
PPTX
Overview_of_Computing_Presentation.pptxxx
DIGITAL DESIGN AND.pptx hhhhhhhhhhhhhhhhh
NU-MEP-Standards معايير تصميم جامعية .pdf
PPT for Diseases (1)-2, types of diseases.pptx
Reinforcement learning in artificial intelligence and deep learning
General category merit rank list for neet pg
Q1-wK1-Human-and-Cultural-Variation-sy-2024-2025-Copy-1.pdf
DAA UNIT 1 for unit 1 time compixity PPT.pptx
book-34714 (2).pdfhjkkljgfdssawtjiiiiiujj
inbound6529290805104538764.pptxmmmmmmmmm
Sheep Seg. Marketing Plan_C2 2025 (1).pptx
9 Bioterrorism.pptxnsbhsjdgdhdvkdbebrkndbd
Introduction to Database Systems Lec # 1
Basic Statistical Analysis for experimental data.pptx
Technicalities in writing workshops indigenous language
Delhi c@ll girl# cute girls in delhi with travel girls in delhi call now
PPT nikita containers of the company use
research framework and review of related literature chapter 2
transformers as a tool for understanding advance algorithms in deep learning
2011 HCRP presentation-final.pptjrirrififfi
Overview_of_Computing_Presentation.pptxxx

Exploring Levels of Data Literacy

  • 1. ©Analytic-translator.com Wendy D. Lynch PhD. Exploring Levels of Data Literacy What is needed, by whom?
  • 2. Where is this interest in data abilities coming from?
  • 3. Where is this interest in data abilities coming from? Data masters Data enabled Data Aware Data Laggards Data behaviors – people & process Data foundations – technology and tools 70% higher revenue per employee
  • 4. Now, more than ever The analytics field will grow to almost $70B by 2030. Almost all (97.2%) of large organizations are investing in big data and AI. 1. https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data 2. US Census. 2021. $67 B Companies will need 25% more analysts by 2030. Generating more data, faster than ever before.
  • 5. How many projects make it? Promise of Big Data Successful Business Application
  • 6. Too few, it seems Promise of Big Data Successful Business Application •85% of big data projects fail. https://designingforanalytics.com/resources/failure-rates-for-analytics-bi-iot-and-big-data-projects-85-yikes/ •87% of data science projects never make it into production •Only 20% of analytics insights deliver business value •Only 50% of business decisions are made using data
  • 7. ©Analytic-translator.com 19% 47% 27% 8% 0% 10% 20% 30% 40% 50% 60% Frustrating-no context-one way OK-Some context- still one-way Good-get context- invite input. Awesome-A total collaboration How analytic teams describes interactions with business “They give me a request with little or no context.”
  • 8. ©Analytic-translator.com 17% 50% 27% 7% 0% 10% 20% 30% 40% 50% 60% Frustrating. Not often Adequate. Sometimes Good. Quite often Awesome. Always. “They don’t give me what I need in a way I can understand….” How business teams describe interactions with analytics
  • 9. Employee population Capabilities Read/recognize Understand Convince with Explain complex analytics Teach/perform analysis Proficiency With Data Population Ninety percent of business leaders believe data literacy will be critical to their success. 1. https://hbr.org/2021/08/how-data-literate-is-your-company So, it’s not surprising Data Literacy
  • 10. How literate? The least literate teams were identified as Human Resources and Sales
  • 11. Employee population Capabilities Read/recognize Understand Convince with Explain complex analytics Teach/perform analysis Proficiency With Data Population 75 percent of business leaders believe most or all of their workers are data literate 1. https://hbr.org/2021/08/how-data-literate-is-your-company Data Literacy Who is literate now? BUT only 50% of middle managers
  • 12. Employee population Capabilities Read/recognize Understand Convince with Explain complex analytics Teach/perform analysis Proficiency With Data Population 25 percent of employees are confident in their data skills. 1. https://hbr.org/2021/08/how-data-literate-is-your-company Who is actually literate now? Some studies report as few as 8% are highly skilled.
  • 13. Employee population Capabilities Proficiency With Data Population And what can we expect ? 29% of US adults cannot interpret a simple graph 19% of US adults have severe math anxiety 62% of US adults operate a very base math level Detectible on fMRI as pain and fear. There are some limits to the number of people who will become highly data literate.
  • 14. Weight loss is easy!!
  • 17. Employee population Capabilities Proficiency With Data Population How do we improve data literacy? Mandatory education on basics of data integrity, reliability, manipulation and elementary statistics An admirable goal. Is it realistic?
  • 18. Next concept: Strategic Alignment (a.k.a. Business Literacy) People and processes are aligned in their purpose and goals. Proficiency With Business Strategy Companies whose people are aligned on strategy grow revenue 58% faster and are 72% more profitable
  • 19. Capabilities Employee population Do my job Connect my job to KPIs Tie decisions to strategy Create strategy Can communicate strategy Strategic Alignment Strategic Alignment 52% of executives have confidence that most employees can explain company strategy Leaders think strategy is clear 20% of executives have HIGH confidence a.k.a.Business Literacy
  • 20. Capabilities Employee population Do my job Connect my job to KPIs Tie activities to strategy Create strategy Can communicate strategy Strategic Alignment Strategic Alignment How many understand strategy? Only 29.3 percent correctly identified business strategy From a multiple-choice list According to a study by PWC, 93% of employees could not articulate their company’s strategy lodestarsolutions.com/PwC’s Strategy&, 2017/https://sloanreview.mit.edu/article/no-one-knows-your-strategy-not-even-your-top-leaders/ Only 13% of frontline managers could name their company’s top three priorities
  • 21. Strategic alignment between business and technology explains 80% of the difference between company performance Business and technology executives differ on whether data strategy is aligned with organizational vision
  • 22. Strategic Alignment is easy! Get everyone aligned. Because I said so.
  • 23. Capabilities Employee population Do my job Connect my job to KPIs Tie activities to strategy Create strategy Can communicate strategy Strategic Alignment How do we increase business literacy? Mandatory education on strategic priorities, consistent messaging & aligned KPIs
  • 24. Next concept: Emotional/Social Awareness (a.k.a. People literacy) Proficiency With Business Strategy 80% of long-term job success depends on EQ, while only 20% on IQ Managers with high EQ had teams that averaged 15-20% higher revenue 52% of HR leaders say they will be hiring managers based on their emotional intelligence
  • 25. Employee population Capabilities Self aware Recognize Social skills Guide others Emotional and Social awareness and ability Population Empathize What is it? People Literacy https://www.forbes.com/sites/servicenow/2022/09/14/digital-transformation-is-80-eq-and-20-iq/
  • 26. The EYES test 36 sets of eyes. Identify emotion that is expressed. Indicates empathy. Average score is 23. People majoring in science and business have significantly lower empathy than people in social sciences. https://journals.sagepub.com/doi/abs/10.1177/1069072709334233
  • 27. Self aware Recognize Social skills Guide others Emotional and Social awareness and ability Population Empathize 95 percent of people think they’re self- aware, but only 10 to 15 percent actually are Only 36% of people are able to recognize and identify emotions. How many have people literacy?
  • 28. Employee population Capabilities Self aware Recognize Social skills Guide others Emotional and Social awareness and ability Population Empathize Why it’s especially important for data efforts 90% of companies intend to accelerate digital transformation. People Literacy It’s people issues that make or break it https://www.forbes.com/sites/servicenow/2022/09/14/digital-transformation-is-80-eq-and-20-iq/ 70% of transformation projects fall short.
  • 29. How do we increase people literacy? Employee population Emotional and Social awareness and ability Population Mandatory education to improve awareness (self and other) Along with coaching and feedback
  • 31. How would you rate your data literacy Record your own answer I’m allergic to data and math 1 2 3 4 5 I know what statistical tests should be applied to answer a question I choose and perform advanced modeling techniques in my job I am comfortable explaining what basic analytic results mean I can read charts and understand them
  • 32. How would you rate your business literacy: Record your own answer I just do my job I know how our company is performing on all its key metrics 1 2 3 4 5 I can give a comprehensive explanation of business strategy for my company I develop corporate strategy and create the metrics that measure it, and communicate it I know how my work ties into company goals
  • 33. How would you rate your people literacy: Record your own answer Emotions just get in the way of getting things done I empathize with others and am comfortable handling and acknowledging negative emotion 1 2 3 4 5 I can accurately identify my own and others’ feelings I teach others how to recognize and handle emotional issues and situations I can’t always tell what others are feeling
  • 34. Very few have high expertise in more than one area More than half say they score a 3 or higher in multiple areas. VERY few, if any, say they score a 5 in multiple areas. PhD Masters 1% 0.15% one two one two Bachelors 9% one Double major 3% 10% 36%
  • 38. D P B Employee population We all have different strengths
  • 39. D P B Employee population We all have different strengths ….and weaknesses
  • 40. D P B Employee population We all have different strengths ….and weaknesses
  • 41. Employee population We all have different strengths I’m an analytics expert I’m a business expert I’m a translator ….for some that is translation
  • 42. D P B Employee population We all have different strengths ….and interests
  • 43. Employee population We all have different strengths ….for some it is tech-savvy end-users I love teaching analytics I love process and collaboration I want to learn new skills
  • 44. D P B Employee population Collectively, we have many strengths ….that we can leverage
  • 45. D P B Employee population Collectively, we have many strengths ….that we can leverage Making aligned decisions (with evidence and empathy)
  • 46. 1. Data literacy is a solitary solution 2. By itself, data literacy will make decisions data-driven 3. Everyone can/must become highly literate 4. We want non-experts to become more expert 5. Creates a superior-inferior dynamic Maybe it belongs in a broader, integrated context There are strategic and social requirements Realistically, people have varying strengths Maybe there are combo-roles (translators, tech-savvy. citizen developers) Recognize strengths, fortify weaknesses If we think about data literacy …….. Separately vs. Within Context
  • 47. To consider: • Can your data literacy efforts be put in context? • Which departments/professions might collaborate? • How does a holistic perspective shift your approach? • What combination roles might be useful? If your company has been incorporating or integrating data literacy into other areas, please reach out to me. [email protected]