The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions
- 3h 33m
- Phil Simon
- John Wiley & Sons (US)
- 2014
The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes, and types of data.
Amidst all of the chaos, though, a new type of organization is emerging.
In The Visual Organization, award-winning author and technology expert Phil Simon looks at how an increasingly number of organizations are embracing new dataviz tools and, more important, a new mind-set based upon data discovery and exploration. Simon adroitly shows how Amazon, Apple, Facebook, Google, Twitter, and other tech heavyweights use powerful data visualization tools to garner fascinating insights into their businesses. But make no mistake: these companies are hardly alone. Organizations of all types, industries, sizes are representing their data in new and amazing ways. As a result, they are asking better questions and making better business decisions.
Rife with real-world examples and case studies, The Visual Organization is a full-color tour-de-force.
About the Author
Phil Simon is a frequent keynote speaker and recognized technology expert. He is the awardwinning author of six management books He consults with organizations on matters related to strategy, data, and technology His contributions have been featured on The Harvard Business Review, CNN, NBC, CNBC, Inc. Magazine, BusinessWeek, The Huffington Post, Fast Company, The New York Times, ReadWriteWeb, and many other sites.
In this Book
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How to Help This Book
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Introduction
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The Ascent of the Visual Organization
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Transforming Data into Insights—The Tools
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The Quintessential Visual Organization
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Dataviz in the DNA
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Transparency in Texas
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The Four-Level Visual Organization Framework
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WWVOD?
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Building the Visual Organization
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The Inhibitors—Mistakes, Myths, and Challenges
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Coda—We're Just Getting Started
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Afterword—My Life in Data
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Selected Bibliography
