A comprehensive guide to building and deploying dashboards that deliver.
Dashboards That Deliver: How to Design, Develop, and Deploy Dashboards That Work teaches you a complete process of dashboard creation, from the initial spark, through discovery and prototyping, to release and maintenance. Its guidance addresses the human and social factors in making successful dashboards. You'll learn how to apply the process whether you're a sole data analyst, or the head of business intelligence in a large enterprise. Also included are over a dozen detailed chapters featuring real-world dashboards from different industries (healthcare, transportation, etc.), departments (finance, marketing, human resources), and platforms (print, desktop, cellphone, etc.). There are dashboards designed for different audiences, including one that has had 2.5 billion views. Each one has a unique creation story you can learn from and apply.
The expert authors have a combined fifty-plus years of hands-on experience helping people in hundreds of organizations build effective dashboards. They have seen multiple successes and failures, bringing their own stories and empathy to help readers survive and thrive in a rapidly changing data landscape.
You'll learn to:
Understand the needs of your users and apply those to the language of data analytics. Create wireframes and mockups to make the most efficient user experience. Choose the appropriate data visualizations for each purpose.
Release and then measure the success of your dashboard implementation. How AI might change how dashboards are developed. Whether you are a Chief Data Officer, Head of Business Intelligence, or a data analyst, this book will help you succeed in sharing actionable, data-informed insights.
Sprache
Verlagsort
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 214 mm
Breite: 212 mm
Dicke: 24 mm
Gewicht
ISBN-13
978-1-394-28183-1 (9781394281831)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Andy Cotgreave speaks and trains internationally on the topic of data communication. He spent 15 years as the data evangelist at Tableau. He has keynoted at events around the world including Big Data London, Gartner Analytics Summits and the Information Is Beautiful Awards.
Amanda Makulec, MPH, is a data visualization designer, teacher, and speaker who has worked with teams to visualize health data responsibly in more than a dozen countries around the world. She is also a founding board member and former Executive Director for the global Data Visualization Society.
Jeffrey Shaffer is the Director of the Applied AI Lab and the Kirk and Jacki Perry Professor of Analytics and Assistant Professor-Educator at the University of Cincinnati in the Carl H. Lindner College of Business.
Steve Wexler is the founder and chief chart looker-atter at Data Revelations. He has helped hundreds of organizations worldwide communicate better with data.
About the Authors xi
Part I Process
Chapter 1 Dashboards Matter 4
Chapter 2 The Dashboards That Deliver Framework 10
Chapter 3 Dashboard Teams and Roles 22
Chapter 4 Spark 34
Chapter 5 Discovery 40
Chapter 6 Discovery Techniques 50
Chapter 7 Prototyping 62
Chapter 8 Key Considerations for Dashboard Design 76
Chapter 9 Development and User Testing 98
Chapter 10 Release and Adoption 106
Chapter 11 Maintenance and Enhancements 118
Part II Scenarios
Chapter 12 Team Coaching Dashboard 132
Chapter 13 Fitness Goal Tracker 152
Chapter 14 eCommerce Dashboard 164
Chapter 15 Recency, Frequency, Monetary (RFM) Analysis 174
Chapter 16 Splash Project WISE Dashboard 186
Chapter 17 Big Mac Index 204
Chapter 18 Guided Pathways Dashboard 216
Chapter 19 Children's Hospital Association Dashboard 228
Chapter 20 Metric Tree 244
Chapter 21 Insurance Broker Portfolio Dashboard 256
Chapter 22 Banking Executive Financial Dashboard 270
Chapter 23 E3CI Data Station 282
Chapter 24 Professional Racing Team Race Strategy Dashboard 294
Chapter 25 Coronavirus Resource Center 304
Chapter 26 NASA's Earth Information Center | earth.gov 320
Part III Succeeding In The Real World
Chapter 27 Succeeding in the Real World BANs (Big-Ass Numbers): Or Big Aggregated Numbers. Or Big Assertive Numbers 342
Chapter 28 Dynamic Duos: Chart Pairings That Work Well Together 356
Chapter 29 Defaults vs. Design: The Pitfalls of Software Defaults 368
Chapter 30 What the Heck Is a Dashboard? 382
Chapter 31 Numbers in Context and Critical Thinking in Data Analysis: How Framing the Question Changes the Meaning and Relevance of Data You Visualize, and How to Think Critically About the Data You Are Analyzing 396
Chapter 32 Generative AI and Data Analytics 408
Chapter 33 Use Dashboards to Find Stories, Not Tell Them 426
Chapter 34 Want to Make Better Dashboards? Find Good Sparring Partners 434
Chapter 35 Ask the Community for Help: And Provide Help Where and When You Can 440
Glossary 445
Acknowledgments 449
Index 451
