Unlock the Power of Your Data with The Big Book of Dashboards: Transform Your Business with Visualizations Based on Real-World Scenarios

Cesare23: As advertised.

United States on Nov 03, 2023

PSVBARMANPSVBARMAN: el libro venia dañado en la parte de arriba

Mexico on Jul 10, 2023

Ramona K.: This is a great reference book. I am a self proclaimed Tableau Evangelist. We bought these for our Tableau Analysts and use it as part of our Best Practices when creating dashboards. Highly recommend.

United States on Apr 16, 2023

Patrick: I like the diverse examples they are very useful
It's a little dense in some parts i would have prefered more examples instead of dense explanations.

Spain on Nov 12, 2022

Amazon Customer: I'm embarrassed to think about how many books I've purchased about presenting data and information visually. To be frank, visual storytelling is more important than having the right data. If people can quickly and easily consume the data, you likely have a winner. You'll lose them fast if it is just a bunch of graphs.

The Big Book of Dashboards does a great job of showing you how to present data. It also does a great job of showing you how NOT to present the data. Finally, they show you how to combine multiple relevant datasets into one visualization in a very simple and easy-to-consume format.

My company is in the business of telling stories with data. This book has and will continue to up our game. Thanks Steve, Jeffrey, and Andy for a great job.

United States on Jul 22, 2022

Anne Walsh: I really really liked this book but I felt quite frustrated that the file examples given were (with one or two exceptions) all Tableau based. Lots of great examples and case studies but for me the lack of files in Excel (with one or two exceptions) was a disappointment.

United Kingdom on May 20, 2022

Dr. Franco Arda: I strongly believe that this book can seriously advance your Tableau skills.

But, in order to profit most from this book, you probably should be a Tableau power user. In Tableau terms, that’s being comfortable with all levels (I, II and III).

I made the “mistake” of buying this book in 2017. My Tableau skills were simply not at par to profit from this book. Thus, the book remained in my bookshelf for quite a while.

Conclusion: If you are Tableau power user, this book can boost your skills.

Highlights:
- The focus is on useful and beautiful dashboards, not info graphics.
- The screaming cat is really funny.
- So far, I’ve only used about 10% of the book. But those 10% were really worth it.
- I tried to replicate some dashboards. Expect challenging tasks.
- Page 15: How to use color for sequential, diverging, categorical….wow!
- Page 339: Want to engage people? Excellent ideas.
- Page 357: Are there cyclical patterns in my data? Amazing!
- Page 368: Visualizing time. Some seriously good ideas.
- Page 419: I love the glossary of chart types.

A fantastic book to push your Tableau skills.

Germany on May 20, 2019

Dan: Despite the title, this book is more about visually presenting individual data sets (perhaps for presentations), rather than identifying and monitoring critical business processes via a "dashboard".

An automobile dashboard has achieved a high state of refinement over the last century and is the iconic example of monitoring important parameters in real time. Ideally, a dashboard should:
* Monitor a few selected, important parameters (the business key performance indicators [KPI's]),
* Compare these parameters to predetermined limits (like red lines or alarm points), and
* Display the rate of change in time to permit correction, if necessary (how fast am I speeding up or slowing down?)
all in one easily understood display.

Out of all the performance data a business should have available, a select few of these should be designated as KPI's that will give a heads up to check in more depth if they depart from norms (e.g., sales calls per week, phone inquiries per day, warranty claims per month, etc.).

A business dashboard should consist of those KPI's that are PREDICTIVE of future business activity or quality. So, a business-specific dashboard should be...

United States on Apr 02, 2019

Lorax of Logic: I really enjoyed BBOD, and I am incorporating its many nuggets into my dashboards. Learning by example and counter-example is the best method (see Siegfried Engelmann fore more on that), and that's the format of this book. There are related webinars on the Tableau website that are definitely worth listening to.The thing to keep in mind about this book is that's it's not a step-by-step cookbook of how to technically achieve vizzes in Tableau. It's a book about design. It can quickly take you from making average, hum-drum (if not disorganized and confusing) dashboards to world-class material.

Below are some thoughts on certain vizzes/chapters:
· CH 2 and 20 - Course Metrics and Complaints - I would encourage Tableau to research gray text readability. Perhaps I have a genetic rod deficiency, or maybe it's because of my age, but I find the gray text to be hard to read. I think the effort to reduce contrast crosses a usability threshold. I'd like to see some tests of a type "solve a problem in this dashboard" with different gray scales in text. I'd wager darker equals a faster solution up to a certain point after which it doesn't matter. There are a lot of factors that...

United States on Feb 16, 2018

Charlie Hutcheson: This is a special book.

What sets it apart from its peers is that it manages to articulate the reasons why things work, but does so in a way that is more accessible and far less pretentious than many alternatives. I actually own and enjoyed a number of those other options, but this book has an inherent readability and the image / text ratio is much better balanced than a number of the options in the market.

In addition, it is a "new" book. It contains a number of examples of modern, effective designs, whereas many other books in this field are becoming a little dated and so perhaps omit some of the more contemporary innovations in data visualisation, which remains an evolving discipline. The examples are of good visualisations, rather than bad, and this focus means that the reader is exposed to a vast range of quality content, rather than endless examples of what "not to do".

Overall, it's highly recommended. It covers design theory in a way which is informative, applicable and concise, but crucially devotes a lot of paper to examples which you can immediately begin to imagine implementing in your personal and professional data visualisation projects.

United Kingdom on Jun 08, 2017