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 the state-of-the-art science in visual design. The second part compliments 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.
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