Visual Imperative

Erscheinungsjahr 2016
ISBN: 978-0-12-803844-4
Verlag: Morgan Kaufmann

Buch, Englisch, 320 Seiten, Format (B × H): 189 mm x 233 mm, Gewicht: 674 g

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.

Autoren/Hrsg.

Ryan, Lindy

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

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

Über Autor(innen)

Ryan, Lindy
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.