Download The Visual Organization: Data Visualization, Big Data, and by Phil Simon PDF

By Phil Simon

The period of huge information as arrived, and such a lot corporations are woefully unprepared. Slowly, many are researching that stalwarts like Excel spreadsheets, KPIs, common reviews, or even conventional company intelligence instruments are usually not adequate. those outdated standbys cannot start to deal with modern day expanding streams, volumes, and kinds of information. within the visible association, award-winning writer and know-how professional Phil Simon seems to be at how an more and more variety of corporations are embracing new dataviz instruments and, extra very important, a brand new frame of mind dependent upon information discovery and exploration. Simon adroitly exhibits how Amazon, Apple, fb, Google, Twitter, and different tech heavyweights use strong facts visualization instruments to garner attention-grabbing insights into their companies. yet make no mistake: those businesses are not often by myself. corporations of all kinds, industries, sizes are representing their information in new and remarkable methods. hence, they're asking larger questions and making higher enterprise judgements.

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By Phil Simon

The period of huge information as arrived, and such a lot corporations are woefully unprepared. Slowly, many are researching that stalwarts like Excel spreadsheets, KPIs, common reviews, or even conventional company intelligence instruments are usually not adequate. those outdated standbys cannot start to deal with modern day expanding streams, volumes, and kinds of information. within the visible association, award-winning writer and know-how professional Phil Simon seems to be at how an more and more variety of corporations are embracing new dataviz instruments and, extra very important, a brand new frame of mind dependent upon information discovery and exploration. Simon adroitly exhibits how Amazon, Apple, fb, Google, Twitter, and different tech heavyweights use strong facts visualization instruments to garner attention-grabbing insights into their companies. yet make no mistake: those businesses are not often by myself. corporations of all kinds, industries, sizes are representing their information in new and remarkable methods. hence, they're asking larger questions and making higher enterprise judgements.

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Extra resources for The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions

Sample text

Many researchers have proven that there is something unique about how we see information, as opposed to how we hear it. Many excellent studies and books have informed our current understanding of the workings of the human brain, and I certainly won’t attempt to summarize them all here. The Visual Organization is in no way a book about the behavioral sciences, neurology, or cognitive psychology. I will, however, concisely mention a few of the more important works in those fields. “The human visual system is a pattern seeker of enormous power and subtlety,” writes Colin Ware in his classic text Information Visualization: Perception for Design.

And when you work from home, strange things can happen. For one, it can become difficult to separate work from leisure. There’s no boss looking over your shoulder to see if you’ve completed that TPS report. Did you get that memo? If you want to take a nap in the early afternoon as I routinely do, no one’s stopping you. In a way, people like me are always at work, even though we’re not always working. It’s fair to say that the notion of work-life balance can be challenging. Lines usually blur. Maybe they’re even obliterated.

Have they changed over time? If so, how? Adventures in Twitter Data Discovery Twitter tells me that, since 2010, I have tweeted more than 17,000 times as of this writing, or about ten times per day. I’d wager that more than 70 percent of my tweets were work related. (Yes, I have been paid to tweet. ) Twitter has let me connect with interesting people and organizations, many of whom you’ll meet in this book. In the course of researching this book, I searched Twitter for a random sample of thoughts, typically with the hashtag #dataviz.

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