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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

Understanding the Four-Pillar Model

Everyone is familiar with and understands the concept of data and dashboards. We observe increased demand and acceptance for data and analytics projects. Due to this increased demand and acceptance for data and analytics projects, we see also a higher demand for data literacy skills.

When we get specific, there are four fundamental pillars in data and analytics that we must address in our businesses: organizational data literacy, data management, data and analytics, and education.

To truly grow, we must first understand the facts about data literacy, which is primarily addressed to employees of a company. This is a good thing, but if we approach data literacy solely for personal growth, we will miss out on a lot of opportunities. This is why the four-pillar model is an important approach that allows you to consider, plan, and develop your data and analytics strategy and all components involved.

This chapter will assist you in understanding...

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