
The Visual Imperative
Creating a Visual Culture of Data Discovery
Lindy Ryan(Author)
Morgan Kaufmann (Publisher)
Published on 9. March 2016
Book
Paperback/Softback
320 pages
978-0-12-803844-4 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 233 mm
Width: 189 mm
Thickness: 20 mm
Weight
674 gr
ISBN-13
978-0-12-803844-4 (9780128038444)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
03/2016
Morgan Kaufmann
€35.95
Available for download
Person
Lindy Ryan is a respected analyst and researcher in the confluence of data discovery, visualization, and data science. Her dissertation research focuses on addressing the technical, ethical, and cultural impacts that have already and will continue to arise in a rapidly expanding big data culture. She is a regular contributor to several industry publications, as well as a frequent guest speaker at data conferences worldwide.
Author
Research Director, Data Discovery and Visualization, Radiant Advisors
Research Associate, Rutgers University's Discovery Informatics Institute (RDI2)
Associate Faculty, City University of Seattle
Research Associate, Rutgers University's Discovery Informatics Institute (RDI2)
Associate Faculty, City University of Seattle
Content
1. Separating Leaders from Laggards2. Improved Agility and Insights through Visual Discovery3. From Self-Service to Self-Sufficiency4. Navigating Ethics in the Big Data Democracy5. Data Science Education and Leadership Landscape6. Visual Communication and Literacy7. Visual Data Storytelling 8. The Importance of Visual Design9. The Data Viz Continuum: Exploratory, Explanatory, Infographics, & Iconography10. Architecting for Discovery11. Data Visualization as a Core Competency12. Enabling Visual Data Discovery by Design13. Visualization in the Internet of Things