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.
| ISBN: | 9783031593550 |
| Publication date: | 25th August 2025 |
| Author: | Jeffrey Keisler |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Paperback |
| 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 |
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.
Prescriptive Analytics features in the following genres: Operational research, Management decision making, Mathematical modelling, Maths for engineers, Business mathematics and systems, Optimization, Databases
Prescriptive Analytics is available in Paperback, Hardback
Prescriptive Analytics was written by Jeffrey Keisler and published by Springer an imprint of Springer Nature Switzerland
Prescriptive Analytics has 259 pages
Yes it is part of Springer Texts in Business and Economics series
£49.49