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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

Delivering a data management future

Many organizations want to get more returns from data and grow to a higher maturity level after delivering a solid data infrastructure and the first reports based on that new infrastructure. In practice, we see that data-informed decision-making does not succeed or even begin without the support of management and the entire organization.

Embracing data literacy will help you develop your decision-making skills, and people will learn to ask the right questions, interpret the findings, and take appropriate action. It is critical to give data management a prominent place within the data and analytics team or within your organization to ensure a steady supply of information. But keep in mind that data management is more than just buying a tool. It is, once again, a process that must be thoroughly set up in our data and analytics world. Figure 5.3 depicts the five steps in the framework that we use in our projects and the project approach. The data...

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