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Data Literacy in Practice

You're reading from   Data Literacy in Practice A complete guide to data literacy and making smarter decisions with data through intelligent actions

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803246758
Length 396 pages
Edition 1st Edition
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Authors (2):
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Kevin Hanegan Kevin Hanegan
Author Profile Icon Kevin Hanegan
Kevin Hanegan
Angelika Klidas Angelika Klidas
Author Profile Icon Angelika Klidas
Angelika Klidas
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Understanding the Data Literacy Concepts
2. Chapter 1: The Beginning – The Flow of Data FREE CHAPTER 3. Chapter 2: Unfolding Your Data Journey 4. Chapter 3: Understanding the Four-Pillar Model 5. Chapter 4: Implementing Organizational Data Literacy 6. Chapter 5: Managing Your Data Environment 7. Part 2: Understanding How to Measure the Why, What, and How
8. Chapter 6: Aligning with Organizational Goals 9. Chapter 7: Designing Dashboards and Reports 10. Chapter 8: Questioning the Data 11. Chapter 9: Handling Data Responsibly 12. Part 3: Understanding the Change and How to Assess Activities
13. Chapter 10: Turning Insights into Decisions 14. Chapter 11: Defining a Data Literacy Competency Framework 15. Chapter 12: Assessing Your Data Literacy Maturity 16. Chapter 13: Managing Data and Analytics Projects 17. Chapter 14: Appendix A – Templates 18. Chapter 15: Appendix B – References 19. Index 20. Other Books You May Enjoy

Summary

In this chapter, we have learned what it takes to be considered a data-literate organization. This does not just involve training individuals on data literacy skills—it also requires the organization to have a data literacy strategy that aligns with the organization’s strategy. It requires tools and technologies and a culture that supports and empowers employees on their data journey.

We also discussed the steps you should follow if you want to launch a data literacy initiative within your organization, starting with planning the vision, and then moving on to communicating the vision, developing a data-literate culture, creating learning environments, and then finishing up with measuring and celebrating successes. You should now be able to go back and identify where you are in your data literacy journey and then identify steps to take it to the next level.

Now that we have learned about the first pillar, organizational data literacy, and how to implement...

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