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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

Assessing Your Data Literacy Maturity

As you’ve seen throughout this book, data literacy is both an individual construct and an organizational one. There is a common misconception about data literacy and data-informed decision-making that it is mostly focused on learning the right tools and using the right technologies. However, there is much more that is required. Even with the best data strategy and the right tools, it still requires the people who make the decisions to turn the data and insights into good decisions. That process requires a combination of skills and mindsets.

On top of that, organizations are looking to leverage data to drive transformation and modernization to help them get closer and adapt to their customer’s needs, as well as obtain and sustain a competitive advantage. They cannot do this just by having an army of data-literate individuals. The organization requires the right strategy and processes, the right tools, and, of utmost importance,...

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