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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
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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

Identifying data privacy concerns

When it comes to data usage and data privacy, some countries have special legislation and regulations in place. For example, in European Union countries, there is a law known as the General Data Protection Regulations (GDPR). Regulations in the United States are a patchwork of rules. Except in the case of children, there is no specific privacy law; but the state of California has implemented the California Consumer Privacy Act (CCPA).

Data privacy is the process of handling personal data in accordance with data protection regulations, laws, and common data privacy best practices. We can define who has unrestricted access to what data or information with the help of data privacy, and who has restricted access to data (see also Identifying data security concerns). One example of sharing data (as we described in Chapter 2, Unfolding Your Data Journey) is the usage of smart devices such as a smartwatch for monitoring sports activities. What if the home...

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