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.

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• About the Authors xiPart I ProcessChapter 1 Dashboards Matter 4Chapter 2 The Dashboards That Deliver Framework 10Chapter 3 Dashboard Teams and Roles 22Chapter 4 Spark 34Chapter 5 Discovery 40Chapter 6 Discovery Techniques 50Chapter 7 Prototyping 62Chapter 8 Key Considerations for Dashboard Design 76Chapter 9 Development and User Testing 98Chapter 10 Release and Adoption 106Chapter 11 Maintenance and Enhancements 118Part II ScenariosChapter 12 Team Coaching Dashboard 132Chapter 13 Fitness Goal Tracker 152Chapter 14 eCommerce Dashboard 164Chapter 15 Recency, Frequency, Monetary (RFM) Analysis 174Chapter 16 Splash Project WISE Dashboard 186Chapter 17 Big Mac Index 204Chapter 18 Guided Pathways Dashboard 216Chapter 19 Children’s Hospital Association Dashboard 228Chapter 20 Metric Tree 244Chapter 21 Insurance Broker Portfolio Dashboard 256Chapter 22 Banking Executive Financial Dashboard 270Chapter 23 E3CI Data Station 282Chapter 24 Professional Racing Team Race Strategy Dashboard 294Chapter 25 Coronavirus Resource Center 304Chapter 26 NASA’s Earth Information Center | earth.gov 320Part III Succeeding In The Real WorldChapter 27 Succeeding in the Real World BANs (Big-Ass Numbers): Or Big Aggregated Numbers. Or Big Assertive Numbers 342Chapter 28 Dynamic Duos: Chart Pairings That Work Well Together 356Chapter 29 Defaults vs. Design: The Pitfalls of Software Defaults 368Chapter 30 What the Heck Is a Dashboard? 382Chapter 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 396Chapter 32 Generative AI and Data Analytics 408Chapter 33 Use Dashboards to Find Stories, Not Tell Them 426Chapter 34 Want to Make Better Dashboards? Find Good Sparring Partners 434Chapter 35 Ask the Community for Help: And Provide Help Where and When You Can 440Glossary 445Acknowledgments 449Index 451

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.

Select Guide Rating

• About the Authors xiPart I ProcessChapter 1 Dashboards Matter 4Chapter 2 The Dashboards That Deliver Framework 10Chapter 3 Dashboard Teams and Roles 22Chapter 4 Spark 34Chapter 5 Discovery 40Chapter 6 Discovery Techniques 50Chapter 7 Prototyping 62Chapter 8 Key Considerations for Dashboard Design 76Chapter 9 Development and User Testing 98Chapter 10 Release and Adoption 106Chapter 11 Maintenance and Enhancements 118Part II ScenariosChapter 12 Team Coaching Dashboard 132Chapter 13 Fitness Goal Tracker 152Chapter 14 eCommerce Dashboard 164Chapter 15 Recency, Frequency, Monetary (RFM) Analysis 174Chapter 16 Splash Project WISE Dashboard 186Chapter 17 Big Mac Index 204Chapter 18 Guided Pathways Dashboard 216Chapter 19 Children’s Hospital Association Dashboard 228Chapter 20 Metric Tree 244Chapter 21 Insurance Broker Portfolio Dashboard 256Chapter 22 Banking Executive Financial Dashboard 270Chapter 23 E3CI Data Station 282Chapter 24 Professional Racing Team Race Strategy Dashboard 294Chapter 25 Coronavirus Resource Center 304Chapter 26 NASA’s Earth Information Center | earth.gov 320Part III Succeeding In The Real WorldChapter 27 Succeeding in the Real World BANs (Big-Ass Numbers): Or Big Aggregated Numbers. Or Big Assertive Numbers 342Chapter 28 Dynamic Duos: Chart Pairings That Work Well Together 356Chapter 29 Defaults vs. Design: The Pitfalls of Software Defaults 368Chapter 30 What the Heck Is a Dashboard? 382Chapter 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 396Chapter 32 Generative AI and Data Analytics 408Chapter 33 Use Dashboards to Find Stories, Not Tell Them 426Chapter 34 Want to Make Better Dashboards? Find Good Sparring Partners 434Chapter 35 Ask the Community for Help: And Provide Help Where and When You Can 440Glossary 445Acknowledgments 449Index 451