
The Visual Imperative
Creating a Visual Culture of Data Discovery
Description
Key Features
- 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
Readership
Data analysts, data scientists, data architects. Data science Researchers in academia.
Table of Contents
1. Separating Leaders from Laggards
2. Improved Agility and Insights through Visual Discovery
3. From Self-Service to Self-Sufficiency
4. Navigating Ethics in the Big Data Democracy
5. Data Science Education and Leadership Landscape
6. Visual Communication and Literacy
7. Visual Data Storytelling
8. The Importance of Visual Design
9. The Data Viz Continuum: Exploratory, Explanatory, Infographics, & Iconography
10. Architecting for Discovery
11. Data Visualization as a Core Competency
12. Enabling Visual Data Discovery by Design
13. Visualization in the Internet of Things
Product details
- No. of pages: 320
- Language: English
- Copyright: © Morgan Kaufmann 2016
- Published: March 9, 2016
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780128038444
- eBook ISBN: 9780128039304