Prescriptive Analytics

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.

1. Modeling. - 2. Sensitivity Analysis. - 3. Indexed Sensitivity Analysis. - 4. Scenario Analysis. - 5. Simulation Analysis. - 6. Customized Input Distributions. - 7. Decision Analysis Expected Value Maximization. - 8. Decision Analysis Advanced Topic. - 9. Optimization: Decisions With Constraints. - 10. Optimization: Excel Solver. - 11. Epilogue.