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Is Enterprise Data Literacy Possible?

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Is Enterprise Data Literacy Possible?

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Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.   

Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:

- why it matters,

- what it means,

- what gets in the way,

- who needs it (and how much they need),

- what companies believe it will accomplish.

In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.

Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.   

Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:

- why it matters,

- what it means,

- what gets in the way,

- who needs it (and how much they need),

- what companies believe it will accomplish.

In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.

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Is Enterprise Data Literacy Possible?

  1. 1. Produced by Enterprise Data Literacy Even Possible? Is Hosted by Wendy Lynch, PhD
  2. 2. Produced by Laura Sebastian- Coleman, PhD VP of Data Governance & Quality Prudential Melissa Depweg Director of Analytics and Data Governance Enablement Intuit Today’s Panel Host: Wendy Lynch, PhD Founder analytic-translator.com
  3. 3. Produced by Enterprise Data Literacy Even Possible? Is Hosted by Wendy Lynch, PhD
  4. 4. Since 2010, interest in data literacy has grown dramatically. Data literacy searches past 13 years 6M 117M 143M Ninety percent of business leaders believe data literacy will be critical to their success. https://hbr.org/2021/08/how-data-literate-is-your-company
  5. 5. What is it? “The ability to read, write and communicate data Dataversity, June 2022 in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the use case, application and resulting value.”
  6. 6. Many definitions In order to be data literate in the workplace, one must: • Know which data are appropriate to use for answering a particular business question. • Have the ability to read charts and graphs in order to interpret the data. • Understand the path of data from its source to the data visualization. • Know how to represent data based on the type of analysis you are performing. • Recognize improperly used data biased analysis and misleading data representations. • Have the ability to communicate about data with others who may not be as data literate. Michael D. Larson. 2022. Data Literacy for the Workplace.
  7. 7. Data to the People Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Fifteen Databilities® Basic Awareness With help Follow instruction given to me Work on limited tasks on my own I can apply skills more broadly Assist others in doing tasks Teach others Reading Data Discovery Evaluating and Ensuring Quality of Data Writing Data Collection Data Management and Organisation Data Manipulation Data Curation and Reuse Metadata Creation and Use Data Conversion (Format to Format) Comprehension Data Analysis Data Interpretation (Understanding Data) Identifying Problems Using Data Data Visualisation Presenting Data (Verbally) Data Driven Decision Making Evaluating Decisions / Conclusions Based on Data Many abilities Data literacy continuum
  8. 8. Accenture What is it? “The ability to read, write and communicate data Dataversity, June 2022 21% Confident they have these skills in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the use case, application and resulting value.” 4 out of 5 are not 10% 9 out of 10 are not
  9. 9. Lata Diteracy: A corperative imperate Dompanies ceed nata, duse ata, drive with thata. Crits Itical that weach orker build skata dills. Drake mata-chiven doices. Underdel mostands to premake good dictions Etting gore maccurate devery ay. Dowing knata makes you vore maluable Band isnessess prore mofitable Smet garter dotay belate its too fore. Moin je. Learn ro tun mogisitc lodels and duild bashboards
  10. 10. Dompanies ceed nata, duse ata, drive with thata. Crits Itical that weach orker build skata dills. Drake mata-Chiven Doices. Underdel mostands to Premake good dictions Etting gore maccurate devery ay. Dowing knata makes you vore maluable. Band isnessess prore mofitable. Smet garter dotay belate its too fore. Moin je. Learn ro tun mogisitc lodels and duild bashboards D L ate ative ata iteracy: A corper imper Companies need data, use data, thrive with data. Its critical that each worker build data skills. Make data-driven choices. Understand models to make good predictions Getting more accurate every day. Knowing data makes you more valuable. And businesses more profitable. Get smarter today before its too late. Join me. Learn to run logisitc models and build dashboards. Empathy Non- threatening
  11. 11. Announcement • Sing a show tune or • Do a handstand If you are the rare person who is talented at both, You will be asked to do a handstand while singing a show tune. Your performance will be rated by your peers and boss. At the end of this session every attendee will be asked to turn on their camera and either:
  12. 12. How bad is it? Data Camp/OnePoll Oct 2022. 2000 respondents One third of Americans don’t know that a quarter of a pie is the same as 25% 54% admit they simply smile and nod rather admit they don’t understand data or statistics 22% reveal they can’t understand everyday numeric information, like bank statements
  13. 13. Bad news: 59% of Americans deliberately avoid dealing with numbers and figures Good news: 54% believe that improving their data skills would be advantageous Data Camp/OnePoll Oct 2022. 2000 respondents
  14. 14. Focus Group Themes • It’s Important
  15. 15. Focus Group Themes • It’s important • Where does this belong?
  16. 16. Focus Group Themes • It’s important • Where does this belong? • Who should be literate?
  17. 17. Focus Group Themes • It’s important • Who should be literate? • Where does this belong? • How literate do we need to be?
  18. 18. Focus Group Themes • It’s important • Where does this belong? • Who should be literate? • How literate do we need to be? • What is the goal?
  19. 19. • It’s important • Where does this belong? • Who should be literate? • How literate do we need to be? • What is the goal? • What gets in the way? Focus Group Themes
  20. 20. Produced by Laura Sebastian- Coleman, PhD VP of Data Governance & Quality Prudential Melissa Depweg Director of Analytics and Data Governance Enablement Intuit Panel Discussion Host: Wendy Lynch, PhD Founder analytic-translator.com
  21. 21. Resources Literacy and Data Literacy • Maryann Wolf. Tales of Literacy for the 21st Century: The Literary Agenda. Oxford University Press, 2016. • Stephen Few. The Data Loom: Weaving Understanding by Thinking Critically and Scientifically with Data. (2015). • Michael D Lairson. Data Literacy for the Workplace. (2022). A guide for individuals learning to work with data in an organization. • Ben Jones. Data Literacy Fundamentals: Understanding the Power & Value of Data. Data Literacy Press. (2020). • Elearningcurve Data Literacy Body of Knowledge. https://ecm.elearningcurve.com/Data_Literacy_Body_of_Knowledge_s/222.htm • Laura Sebastian-Coleman, Meeting the Challenges of Data Quality Management. (2022). Chapter 7. • Data Leaders Data Literacy Self-assessment https://dataleaders.org/tools/data-literacy-self-assessment/ Facets of Data Literacy • Stephen Few. Signal: Understanding What Matters in a World of Noise. (2015): General knowledge everyone should have about data. • Darrell Huff, How to Lie with Statistics. How to avoid being tricked by people who manipulate data and information. • Edward Tufte, The Visual Display of Quantitative Information (1983). The best book on data visualization, ever. • Ron Kenett and Tom Redman, The Real Work of Data Science: Turning Data into Information, Better Decisions, and Stronger Organizations. • Cathy O’Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016).
  22. 22. wendy@analytic-translator.com Linkedin: @wendylynchphD Analytic Translators may be part of the solution
  23. 23. Panel Discussion v How did you/your organization know you needed to emphasize data literacy? (assuming they do know) v In what ways, in specific examples, would a company notice a low literacy? v What steps have you taken thus far, and hope to take to improve literacy? v If your company achieved uniform data literacy, how would that be valuable to the organization?

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