Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-259 |
| Number of pages | 259 |
| Journal | Springer Texts in Business and Economics |
| Volume | Part F7820 |
| DOIs | |
| State | Published - 2024 |
ASJC Scopus Subject Areas
- General Business,Management and Accounting
- General Economics,Econometrics and Finance
Keywords
- Analytics Techniques
- Big Data
- Business Mathematics
- Data-driven
- Decision Analytics
- Excel Guru
- Innovative Spreadsheet Techniques
- Management Science
- Prescriptive Analytics Textbook
- Spreadsheet Analytics
- Spreadsheet Tricks
- Spreadsheets for People with Math Phobia
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