Dashboards That Deliver

Andy Cotgreave , Amanda Makulec , Jeffrey Shaffer , Steve Wexler 지음

Wiley 2025년 09월 17일 출간

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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.

목차

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 WorldChapter 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

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저자(글) Andy Cotgreave

저자(글) Amanda Makulec

저자(글) Jeffrey Shaffer

저자(글) Steve Wexler