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Book synopsis

Prescriptive Analytics: Mastering the Spreadsheet of Everything 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 and then applying sensitivity, scenario, simulation, decision, and optimization analysis."An important book.  It will be invaluable in entry-level courses in prescriptive analytics and all related fields."                                                                                                                Robert Bordley, University of Michigan"Without a doubt, one of the most intuitive and accessible journeys into the world of prescriptive analytics."                                                             Gilberto Montibeller & Victor Podinovski, Loughborough University"A remarkable in-depth treatment of implementing complex analytical formulations using spreadsheets in a simple and accessible way."                                                                                                      Ali Abbas, University of Southern California"A fresh and very pragmatic approach to the challenges of developing analytical thinkers - and doers."                                                                                                                        Patrick Noonan, Emory University"This book starts the study of analytics with a simple problem and a few basic Excel formulas, and staying within that framework and emphasizing comprehension, builds up to cover all of the mainstream analytic topics and some very advanced ones as well."                         &

Book details

Book category Knihy po anglicky Economics, finance, business & management Business & management Operational research

• Full title: Prescriptive Analytics
• Subtitle: Mastering the Spreadsheet of Everything
• Author: Jeffrey M. Keisler
• Language: English
• Binding: Hardback
• Number of pages: 290
• EAN: 9783031593529
• ID: 45484217
• Publisher: Springer, Berlin
• Weight: 930 g
• Dimensions: 279 × 210 mm
• Published: 2024

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