Preface

Data is more than a commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises that work confidently with data unlock a new realm of possibilities. The resultant agility, growth, and inevitable success have one origin: data literacy.

Data Literacy in Practice is a comprehensive guide that will build your understanding of data literacy basics, and accelerate your journey to independently uncovering insights with best practices, practical models, and real-world examples.

Discover the four-pillar model that underpins all data and analytics. 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.

This guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world, including their lectures at top universities in the US and the Netherlands.

By the end of the book, you’ll be equipped with a combination of skills and mindsets, along with tools and frameworks, that allow you to find insights and meaning within your data to enable effective and efficient data-informed decision-making.