Bøger af Stephen Few

Addressing the prevalent issue of poorly designed quantitative information presentations, this accessible, practical, and comprehensive guide teaches how to properly create tables and graphs for effective and efficient communication. The critical numbers that measure the health, identify the opportunities, and forecast the future of organizations are often misrepresented because few people are trained to design accurate, informative materials, but this manual helps put an end to misinformation. This revised edition of the highly successful book includes updated figures and 91 additional pages of content, including new chapters about quantitative narrative and current misuses of graphs--such as donut, circle, unit, and funnel charts--and new appendices that cover constructing table lens displays and box plots in Excel and useful color palettes for presentation materials.

A leader in the field of data visualization, Stephen Few exposes the common problems in dashboard design and describes its best practices in great detail and with a multitude of examples in this updated second edition. According to the author, dashboards have become a popular means to present critical information at a glance, yet few do so effectively. He purports that when designed well, dashboards engage the power of visual perception to communicate a dense collection of information efficiently and with exceptional clarity and that visual design skills that address the unique challenges of dashboards are not intuitive but rather learned. The book not only teaches how to design dashboards but also gives a deep understanding of the concepts--rooted in brain science--that explain the why behind the how. This revised edition offers six new chapters with sections that focus on fundamental considerations while assessing requirements, in-depth instruction in the design of bullet graphs and sparklines, and critical steps to follow during the design process. Examples of graphics and dashboards have been updated throughout, including additional samples of well-designed dashboards.

Before you can present information to others, you must understand its story. Now You See It teaches the concepts, principles, and practices of visual data sensemaking. The skills taught in this book rely primarily on something that most of us possess--vision--interactively using graphs to find and examine the meaningful patterns and relationships that reside in quantitative data. Although some questions about quantitative data can only be answered using sophisticated statistical techniques, most can be answered using relatively simple visual data sensemaking skills. Until Now You See It was published, no book taught these basic skills comprehensively and in a way that was accessible to a broad audience. Even though these skills can be developed by anyone with eyes to see, they are not intuitive--they must be learned. Without these skills, even the best data visualization tools are of little use, and data will remain nothing but noise.

"Contrary to popular myth, we do not yet live in the 'Information Age.' At best, we live the 'Data Age, ' obsessed with the production, collection, storage, dissemination, and monetization of digital data. But data, in and of itself, isn't valuable. Data only becomes valuable when we make sense of it. We rely on 'information professionals' to help us understand data, but most fail in their efforts. Why? Not because they lack intelligence or tools, but mostly because they lack the necessary skills. Most information professionals have been trained primarily in the use of data analysis tools (Tableau, PowerBI, Qlik, SAS, Excel, R, etc.), but even the best tools are only useful in the hands of skilled individuals. Anyone can pick up a hammer and pound a nail, but only skilled carpenters can use a hammer to build a reliable structure. Making sense of data is skilled work, and developing those skills requires study and practice. Weaving data into understanding involves several distinct but complementary thinking skills. Foremost among them are critical thinking and scientific thinking. Until information professionals develop these capabilities, we will remain in the dark ages of data. This book is for information professionals, especially those who have been thrust into this important work without having a chance to develop these foundational skills. If you're an information professional and have never been trained to think critically and scientifically with data, this book will get you started. Once on this path, you'll be able to help usher in an Information Age worthy of the name."--

"Big Data, Big Dupe" is a little book about a big bunch of nonsense. The story of David and Goliath inspires us to hope that something little, when armed with truth, can topple something big that is a lie. This is the author's hope. While others have written about the dangers of Big Data, Stephen Few reveals the deceit that belies its illusory nature. If "data is the new oil," Big Data is the new snake oil. It isn't real. It's a marketing campaign that has distracted us for years from the real and important work of deriving value from data.