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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

The Beginning – The Flow of Data

Data is the new gold of the 21st century, but what is it? Why is it important? Why should you know what data is and what you can do with it? More than ever, it’s important to have data and make decisions based on that data. Everyone uses information every day.

In this chapter, we’ll find out what data is, where it comes from, and how it’s used to make decisions today. We’ll also explain what data literacy is and why it’s so important for both our everyday lives and our business lives. We’ll show you some real-world examples and help you understand the basics of making decisions based on data or Data-Informed Decision Making (DIDM).

By the end of this chapter, you’ll recognize the most important parts of data and how we use it in our daily lives and at work. This will be explained with examples from the COVID-19 pandemic and stories from our own work lives.

In this chapter, we will cover the following topics:

  • Understanding data in our daily lives
  • Analyzing data
  • An introduction to data literacy
  • The organizational data flow
You have been reading a chapter from
Data Literacy in Practice
Published in: Nov 2022
Publisher: Packt
ISBN-13: 9781803246758
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