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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

After reading this chapter, we have a better understanding of the four-pillar approach and how we can use it to be successful in our organizations’ use of data and analytics. It assists us in deciding what to consider when we want to professionalize our data and analytics environment or data and analytics teams.

In the following section, we discussed a brief overview of organizational data literacy and the steps you must take. The following section provided a brief overview of data management and why it is critical to implement this in your organization. This topic is covered in greater depth in Chapter 5, Managing Your Data Environment.

The following section concerned data and analytics, and it was not only about purchasing a tool that you wanted to use, but also about learning how to work with it and creating visualizations that people could actually read. The final component is education, which is required for all staff members within your organization; leading...

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