The Visual Imperative: Creating a Visual Culture of Data Discovery

Lindy Ryan

The Visual Imperative: Creating a Visual Culture of Data Discovery

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商品描述

Data is powerful. It separates leaders from laggards and it drives business disruption, transformation, and reinvention. Today’s most progressive companies are using the power of data to propel their industries into new areas of innovation, specialization, and optimization. The horsepower of new tools and technologies have provided more opportunities than ever to harness, integrate, and interact with massive amounts of disparate data for business insights and value – something that will only continue in the era of the Internet of Things. And, as a new breed of tech-savvy and digitally native knowledge workers rise to the ranks of data scientist and visual analyst, the needs and demands of the people working with data are changing, too.

The world of data is changing fast. And, it’s becoming more visual.

Visual insights are becoming increasingly dominant in information management, and with the reinvigorated role of data visualization, this imperative is a driving force to creating a visual culture of data discovery. The traditional standards of data visualizations are making way for richer, more robust and more advanced visualizations and new ways of seeing and interacting with data. However, while data visualization is a critical tool to exploring and understanding bigger and more diverse and dynamic data, by understanding and embracing our human hardwiring for visual communication and storytelling and properly incorporating key design principles and evolving best practices, we take the next step forward to transform data visualizations from tools into unique visual information assets.

  • Discusses several years of in-depth industry research and presents vendor tools, approaches, and methodologies in discovery, visualization, and visual analytics
  • Provides practicable and use case-based experience from advisory work with Fortune 100 and 500 companies across multiple verticals
  • Presents the next-generation of visual discovery, data storytelling, and the Five Steps to Data Storytelling with Visualization
  • Explains the Convergence of Visual Analytics and Visual discovery, including how to use tools such as R in statistical and analytic modeling
  • Covers emerging technologies such as streaming visualization in the IOT (Internet of Things) and streaming animation

商品描述(中文翻譯)

數據具有強大的力量。它區分了領導者和落後者，推動了業務的破壞、轉型和重塑。如今，最具進步性的公司正在利用數據的力量，推動其所在行業進入創新、專業化和優化的新領域。新工具和技術的馬力提供了比以往更多的機會，以利用、整合和與大量不同的數據進行交互，獲得業務洞察和價值 - 這在物聯網時代只會繼續發展。隨著一批新一代精通技術且具有數位本能的知識工作者晉升為數據科學家和視覺分析師，與數據工作的人們的需求和要求也在改變。

數據世界正在快速變化。而且，它變得更加視覺化。

視覺化洞察在信息管理中越來越占主導地位，並且隨著數據可視化的重新激活角色，這一要求成為創建數據發現的視覺文化的推動力。傳統的數據可視化標準正在為更豐富、更強大和更先進的可視化以及以新的方式看待和與數據互動的方式讓路。然而，儘管數據可視化是探索和理解更大、更多樣化和更動態數據的關鍵工具，但通過理解和擁抱我們對視覺溝通和故事講述的人類硬連結，並適當地融入關鍵設計原則和不斷發展的最佳實踐，我們邁出了將數據可視化從工具轉變為獨特視覺信息資產的下一步。

本書討論了多年的深入行業研究，並介紹了發現、可視化和視覺分析的供應商工具、方法和方法論。它提供了與財富100和500強公司在多個垂直領域的諮詢工作中獲得的可行和基於用例的經驗。本書還介紹了下一代視覺發現、數據故事講述和使用可視化進行數據故事講述的五個步驟。它解釋了視覺分析和視覺發現的融合，包括如何使用R等工具進行統計和分析建模。本書還涵蓋了新興技術，如物聯網中的流式可視化和流式動畫。

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