Wow! eBook
Data Literacy in Practice: A complete guide to data literacy and making smarter decisions with data through intelligent actions
Author(s): Angelika Klidas (Author), Kevin Hanegan (Author)
- Publisher: Packt Publishing
- Publication Date: 30 Nov. 2022
- Language: English
- Print length: 396 pages
- ISBN-10: 1803246758
- ISBN-13: 9781803246758
Book Description
Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data
Key Features
- Get a solid grasp of data literacy fundamentals to support your next steps in your career
- Learn how to work with data and extract meaningful insights to take the right actions
- Apply your knowledge to real-world business intelligence projects
Book Description
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.
What you will learn
- Start your data literacy journey with simple and actionable steps
- Apply the four-pillar model for organizations to transform data into insights
- Discover which skills you need to work confidently with data
- Visualize data and create compelling visual data stories
- Measure, improve, and leverage your data to meet organizational goals
- Master the process of drawing insights, ask critical questions and action your insights
- Discover the right steps to take when you analyze insights
Who this book is for
This book is for data analysts, data professionals, and data teams starting or wanting to accelerate their data literacy journey. If you’re looking to develop the skills and mindset you need to work independently with data, as well as a solid knowledge base of the tools and frameworks, you’ll find this book useful.
Table of Contents
- The Beginning- The Flow of Data
- Unfolding Your Data Journey
- Understanding the Four-Pillar Model
- Implementing Organizational Data Literacy
- Managing Your Data Environment
- Aligning with Organizational Goals
- Designing Dashboards and Reports
- Questioning the Data
- Handling Data Responsibly
- Turning Insights into Decisions
- Defining a Data Literacy Competency Framework
- Assessing Your Data Literacy Maturity
- Managing Data and Analytics Projects
- Appendix A – Templates
- Appendix B – References
Editorial Reviews
Review
“The authors give us clear, easy-to-understand insights into data literacy and how it affects us in our daily and business lives. The book is packed with useful, real-life examples that every reader will recognize. The examples are not only insightful but also mind-blowing and give us plenty of food for thought. The authors also offer links to useful articles, presentations, and other insights so you can further educate yourself. I believe this book will be appreciated by data literacy lovers at all levels; for instance, newbies, data analytics (BI) and students. Data literacy experts will also get inspired by the journey the authors take us on in this book.
Congratulations, Angelika Klidas, and Kevin Hanegan, on such a great read!”
—
Jeannine Boot, Global Director, Customer Marketing, Qlik
Data Literacy in Practice is a comprehensive guide to understanding the role that data plays in our daily lives and how to use analytics to achieve business objectives, make informed decision-making, and effectively manage data and analytics projects on a large scale. It provides a framework for enhancing data literacy, developing analytical skills, and evaluating the success of analytics initiatives.
—
Ronald van Loon, CEO, Principal Analyst at Intelligent World, Top10 AI-Data-IoT-Influencer
“An extensive handbook for all those who are looking for a structured and readable book on BI. With many easy-to-understand models and examples, this book covers a lot of depth and detail to guide your data / BI journey or cross check if you are on the right path. For many disciplines, this book has value, both on senior management level as input to organization development as well as for the “boots on the ground” who will have to do the heavy lifting and are looking for practical guidance for their work processes. With many day-to-day examples which are very recognizable for all working in the data and BI domain, this book is a must-read in the coming year for all who have the ambition to build and improve their BI competence.”
—
Bert Ipema, Digital Product Leader, IKEA Shared Data & Technology / Data Visualisation
About the Author
Kevin has helped individuals and organizations maximize the value they receive from their data for over 20 years. He is a is a frequent speaker and thought leader on topics including data literacy, data-informed decision making, decision intelligence, and essential skills for today’s workforce. He is currently the Chief Learning Officer at Qlik, a data and analytics company, as well as the chair of the advisory board for The Data Literacy Project. Kevin is also an accomplished author of multiple books, including Turning Data into Wisdom, which helps individuals learn strategies to make data-informed decisions. He applies his passion both in the corporate setting and also in academia where he is an adjust professor at Boise State University.
