Visual analytics for management: Translational science and applications in practice
By: Bendoly, Eliot ed.
Contributor(s): Clark, Sacha ed.
Material type:
TextPublisher: New York: Wellesley-Cambridge Press; 2019Description: 175p.ISBN: 9781138190726.Subject(s): Information Technology-Management | Database management | Electronic data processing | Information storage and retrieval systemsUDC classification: 65:681.3.016 BEN/V Summary: 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.
| Item type | Current location | Call number | Status | Date due | Barcode |
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Books
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Main Library (First Floor, Rack No.19) | 65:681.3.016 BEN/V (Browse shelf) | Available | 36557 |
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.
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