TY  - BOOK
AU  - Ryan,Lindy
TI  - The visual Imperative: creating a visual culture of data discovery 
SN  - 9780128038444 :
AV  - QA76.9.I52 R92 2016
U1  - 001.4/226/028566 23
PY  - 2016///]
CY  - Cambridge, MA
PB  - Morgan Kaufmann
KW  - Information visualization
KW  - Business
KW  - Data processing
KW  - Optical data processing
KW  - Imperative programming
KW  - Big data
N1  - Includes bibliographical references and index; Part I. How data is driving business disruption, transformation, and reinvention -- Part II. Communicating data visually --- Part III. Building the foundation for data visualization
N2  - "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." --
ER  -