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Titlebook: Prescriptive Analytics; Mastering the Spread Jeffrey M. Keisler Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclus

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书目名称Prescriptive Analytics
副标题Mastering the Spread
编辑Jeffrey M. Keisler
视频video
概述Introduces an innovative spreadsheet system for decision-oriented analytics developed from first principles.Adopts less-is-more approach by avoiding add-ins, excess spreadsheet features, and ever-chan
丛书名称Springer Texts in Business and Economics
图书封面Titlebook: Prescriptive Analytics; Mastering the Spread Jeffrey M. Keisler Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclus
描述.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. The book includes access to a companion website featuring workbooks and other valuable materials to support learning..
出版日期Textbook 2024
关键词Data-driven; Decision Analytics; Prescriptive Analytics Textbook; Spreadsheet Tricks; Business Mathemati
版次1
doihttps://doi.org/10.1007/978-3-031-59353-6
isbn_softcover978-3-031-59355-0
isbn_ebook978-3-031-59353-6Series ISSN 2192-4333 Series E-ISSN 2192-4341
issn_series 2192-4333
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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