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    The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
    The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
    The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
    Ebook757 pages5 hours

    The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios

    By Steve Wexler, Jeffrey Shaffer and Andy Cotgreave

    3.5/5

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    • Dashboard Design

    • Data Visualization

    • Business Intelligence

    • Data Analysis

    • Key Performance Indicators

    • Underdog Story

    • Data-Driven Decision Making

    • Love Triangle

    • Coming of Age

    • Mentor

    • Mentorship

    • Found Family

    • Betrayal

    • Power Struggle

    • Hero's Journey

    • Bar Charts

    • Sports Analytics

    • Sales Trends

    • User Engagement

    • Color-Blind-Friendly Visualizations

    About this ebook

    The definitive reference book with real-world solutions you won't find anywhere else

    The Big Book of Dashboards presents a comprehensive reference for those tasked with building or overseeing the development of business dashboards.

    Comprising dozens of examples that address different industries and departments (healthcare, transportation, finance, human resources, marketing, customer service, sports, etc.) and different platforms (print, desktop, tablet, smartphone, and conference room display) The Big Book of Dashboards is the only book that matches great dashboards with real-world business scenarios.

    By organizing the book based on these scenarios and offering practical and effective visualization examples, The Big Book of Dashboards will be the trusted resource that you open when you need to build an effective business dashboard.

    In addition to the scenarios there's an entire section of the book that is devoted to addressing many practical and psychological factors you will encounter in your work. It's great to have theory and evidenced-based research at your disposal, but what will you do when somebody asks you to make your dashboard 'cooler' by adding packed bubbles and donut charts?

    The expert authors have a combined 30-plus years of hands-on experience helping people in hundreds of organizations build effective visualizations. They have fought many 'best practices' battles and having endured bring an uncommon empathy to help you, the reader of this book, survive and thrive in the data visualization world.

    A well-designed dashboard can point out risks, opportunities, and more; but common challenges and misconceptions can make your dashboard useless at best, and misleading at worst. The Big Book of Dashboards gives you the tools, guidance, and models you need to produce great dashboards that inform, enlighten, and engage.

    LanguageEnglish
    PublisherWiley
    Release dateMay 3, 2017
    ISBN9781119282730
    The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios

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    Book preview

    The Big Book of Dashboards - Steve Wexler

    Acknowledgments

    From the three of us

    Stephen Few, whose books have made a profound and lasting impression on us.

    Alberto Cairo for his invaluable feedback and for his leadership in the data visualization community.

    Our technical reviewers greatly improved our first drafts. Thanks to Troy Magennis, Andy Kirk, Jon Schwabish, Ariel Pohoryles, Trudy Weiss Craig, Michael Fry, and a special thanks to Cole Nussbaumer Knaflic for introducing us to the Wiley team and who went far beyond our expectations with her detailed edits and comments.

    All the contributors to this book gave significant time to tweak their dashboards according to our requests. We thank you for allowing us to include your work in the book.

    Thanks, also, to Mark Boone, KK Molugu, Eric Duell, Chris DeMartini, and Bob Filbin for their efforts.

    Our stellar team at Wiley: acquisitions editor Bill Falloon for fighting so hard on our behalf; editor Christina Verigan for her deft reworking and invaluable help optimizing flow; senior production editor Samantha Hartley for overseeing the daunting process of making this book a beautiful, tangible thing; copy editor Debra Manette for such detailed editing and insights; proofreader Hope Breeman for her meticulous proof check; the team at WordCo for a comprehensive index and marketing manager Heather Dunphy for her exceptional expertise in connecting author with audience.

    From Steve

    My wife, Laura, and my daughters, Janine and Diana, for the never-ending support and love.

    Ira Handler and Brad Epstein, whose friendship, encouragement, and example have been a godsend for the past dozen years.

    Joe Mako, who has always been willing to help me with the difficult stuff and provided much needed encouragement when I was starting out.

    The Princeton University Triangle Club, where I learned how to bring talented people together to make wonderful things. Without my experiences there I don't know if I would have had the insight and ability to recruit my fellow authors.

    Jeff and Andy, who not only made the book way better than it would have been had I tackled it on my own, but for providing me with one of the most rewarding and enriching experiences of my career. Your abilities, candor, humor, grit, patience, impatience, thoughtfulness, and leadership made for a remarkable ride.

    From Andy

    I would like to thank Steve and Jeff for approaching me to join this project. I'd been procrastinating on writing a book for many years, and the opportunity to work with two passionate, skilled leaders was the trigger I needed to get going. I would like to thank them both for many hours of constructive debate (argument?) over the rights and wrongs of all aspects of dashboards and data visualization. It has been an enriching experience.

    Finally, to Liz, my wife, and my daughters, Beatrice and Lucy. Thank you for your support and the freedom to abandon you all on weekends, mornings, and evenings in order to compete this project. I could not have done it without you.

    From Jeff

    Thank you, Steve and Andy. It was a pleasure working with you guys. I will miss the collaboration, especially our many hours of discussion about data visualization and dashboard design.

    A special thank you to Mary, my wife, and to Nina and Elle, my twin daughters, for sacrificing lots of family time over many long nights and weekends. I would not have been able to complete this project without your support.

    About the Authors

    Steve Wexler has worked with ADP, Gallup, Deloitte, Convergys, Consumer Reports, The Economist, ConEd, D&B, Marist, Tradeweb, Tiffany, McKinsey & Company, and many other organizations to help them understand and visualize their data. Steve is a Tableau Zen Master, Iron Viz Champion, and Tableau Training Partner.

    His presentations and training classes combine an extraordinary level of product mastery with the real-world experience gained through developing thousands of visualizations for dozens of clients. In addition to his recognized expertise in data visualization and Tableau, Steve has decades of experience as a successful instructor in all areas of computer-based technology. Steve has taught thousands of people in both large and small organizations and is known for conducting his seminars with clarity, patience, and humor.

    Website: DataRevelations.com

    Jeffrey A. Shaffer is Vice President of Information Technology and Analytics at Recovery Decision Science and Unifund. He is also Adjunct Professor at the University of Cincinnati, where he teaches Data Visualization and was named the 2016 Outstanding Adjunct Professor of the Year.

    He is a regular speaker on the topic of data visualization, data mining, and Tableau training at conferences, symposiums, workshops, universities, and corporate training programs. He is a Tableau Zen Master, and was the winner of the 2014 Tableau Quantified Self Visualization Contest, which led him to compete in the 2014 Tableau Iron Viz Contest. His data visualization blog was on the shortlist for the 2016 Kantar Information is Beautiful Awards for Data Visualization Websites.

    Website: DataPlusScience.com

    Andy Cotgreave is Technical Evangelist at Tableau Software. He has over 10 years' experience in data visualization and business intelligence, first honing his skills as an analyst at the University of Oxford. Since joining Tableau in 2011, he has helped and inspired thousands of people with technical advice and ideas on how to build a data-driven culture in a business.

    In 2016 he ran the MakeoverMonday (http://www.makeovermonday.co.uk/) project with Andy Kriebel, a social data project which saw over 500 people make 3,000 visualizations in one year. The project received an honourable mention in the Dataviz Project category of the 2016 Kantar Information is Beautiful Awards.

    Andy has spoken at conferences around the world, including SXSW, Visualized, and Tableau's customer conferences. He writes a column for Computerworld, Living with Data (http://www.computerworld.com/blog/living-data/), as well as maintaining his own blog, GravyAnecdote.com.

    Website: GravyAnecdote.com

    Introduction

    We wrote The Big Book of Dashboards for anyone tasked with building or overseeing the development of business dashboards. Over the past decade, countless people have approached us after training sessions, seminars, or consultations, shown us their data, and asked: What would be a really good way to show this?

    These people faced a specific business predicament (what we call a scenario) and wanted guidance on how to best address it with a dashboard. In reviewing dozens of books about data visualization, we were surprised that, while they contained wonderful examples showing why a line chart often works best for time-series data and why a bar chart is almost always better than a pie chart, none of them matched great dashboards with real-world business cases. After pooling our experience and enormous collection of dashboards, we decided to write our own

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