Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy.
This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights.
You’ll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights.
By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making.

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Spis treści

Data Literacy in Practice. A complete guide to data literacy and making smarter decisions with data through intelligent actions Audiobook -- spis treści

• 1. Dedication and Contributors
• 2. Preface
• 3. Chapter 1: The Beginning - The Flow of Data
• 4. Chapter 2: Unfolding Your Data Journey
• 5. Chapter 3: Understanding the Four-Pillar Model
• 6. Chapter 4: Implementing Organizational Data Literacy
• 7. Chapter 5: Managing Your Data Environment
• 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. Chapter 10: Turning Insights into Decisions
• 13. Chapter 11: Defining a Data Literacy Competency Framework
• 14. Chapter 12: Assessing Your Data Literacy Maturity
• 15. Chapter 13: Managing Data and Analytics Projects
• 16. Closing Credits