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Prescriptive Analytics

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Prescriptive Analytics Synopsis

This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics. The material uses only standard Excel spreadsheet features and functions for creating models. Using a step-by-step approach, readers learn a unified architecture for sensitivity, scenario, simulation, decision, and optimization analysis. Spreadsheets with numerous screenshots support visual, hands-on learning (and provide some surprising innovations). Special influence diagrams and non-intimidating but accurate terminology help explain the logic of the models and calculations. Well-structured chapters include guideposts, enrichment, and curated links to valuable external resources. Readers are encouraged to own their learning and think about future trajectories for themselves and the field. This book helps all readers quickly learn tools and concepts to use right away and to expand throughout a career.

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About This Edition

ISBN: 9783031593529
Publication date:
Author: Jeffrey Keisler
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Hardback
Pagination: 259 pages
Series: Springer Texts in Business and Economics
Genres: Operational research
Management decision making
Mathematical modelling
Maths for engineers
Business mathematics and systems
Optimization
Databases