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Full Description
This book provides students with an in-depth understanding of the concepts, frameworks and processes used to analyze and present visual data for better decision-making. Expert contributors provide guidance in translating complex concepts from large data sets and how this translation drives management practice.
The book's first part provides a descriptive consideration of state-of-the-art science in visual design. The second part complements the first with a rich set of cases and visual examples, illustrating development and best practice to provide students with real-world context. Through their presentation of modern scientific principles, the editors inspire structured discussions of audience and design, recognizing differences in need, bias and effective processes across contexts and stakeholders.
This cutting-edge resource will be of value to students in business analytics, business communication and management science classes, who will learn to be capable managers through the effective and direct visual communication of data. Researchers and practitioners will also find this an engaging and informative book.
Contents
List of Figure
List of Table
List of Contributors
Preface
Introduction
Part I: The Science of the Art
Incomplete Pictures
Coping with Haystacks
Best Practices in Visual Design
Sustaining Collective Sensemaking in Teams: Five Patterns of Interaction
Processing Data for Visual Network Analysis
Part II: Applied Cases
Visualizing a Real-world Sales Pipeline Process
Framing Wicked Problems Using Co-design and a Hybrid Design Toolset
Visual Support for Complex Repair Operations in a Global Aerospace Company
Point-of-Care Electronic Health Record-Based Visualization Tools
Optimization, Visualization and Data Mapping for HVAC Product Distribution
The Long Way to Intuitive Visual Analysis of Air Traffic Control Data
Data Visualization in History
An Energy Information System to Conserve Electricity in Campus Buildings
Index