05519nam a22006375i 4500 978-3-031-59353-6 DE-He213 20251030112910.0 cr nn 008mamaa 240825s2024 sz | s |||| 0|eng d 9783031593536 978-3-031-59353-6 10.1007/978-3-031-59353-6 doi T57.6-.97 KJT bicssc KJMD bicssc BUS049000 bisacsh KJT thema KJMD thema Keisler, Jeffrey M. author. (orcid)0000-0002-9267-2327 https://orcid.org/0000-0002-9267-2327 aut http://id.loc.gov/vocabulary/relators/aut 82844 Prescriptive Analytics [electronic resource] : Mastering the Spreadsheet of Everything / by Jeffrey M. Keisler. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIII, 259 p. 427 illus., 153 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Texts in Business and Economics, 2192-4341 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. 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. How can we make high quality decisions in an increasingly data-rich but also uncertain and complex world? This book provides the answer, preparing you for the prescriptive analytic future. Gilberto Montibeller, Professor of Operations Management, University of Bristol. An important book. It will be invaluable in entry-level courses in prescriptive analytics and all related fields. Robert Bordley, Director, Systems Engineering and Design Program, University of Michigan Rooted in a rigorous decision framework, one of the most intuitive and accessible journeys into the world of prescriptive analytics. Victor Podinovski, Head of Management Science and Operations Group, Loughborough University A remarkable in-depth treatment of implementing complex analytical formulations using spreadsheets in a simple and accessible way. Ali Abbas, Founding Director of the Neely Center for Ethical Leadership and Decision-Making, University of Southern California A fresh and pragmatic approach to the challenges of developing analytical thinkers – and doers. Students will quickly add useful tools, and they’ll start to connect the dots of the bigger picture. Patrick Noonan, Emeritus Professor of Management & Decision Sciences. 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. Janet Wagner, Founding Dean, School of Business, Stockton University The perfectly illustrated examples, with tips, tricks, and aids to all possible roadblocks a student might encounter, seamlessly take you from zero to master’s level skill on mechanics of spreadsheet modeling. Avipsa Acharya (former student), Business Data Analyst, State Street Corp. Professor Keisler’s amazing book gives everyone analytics skills for success. Igor Linkov, Senior Scientific and Technical Manager, US Army Corps of Engineers I really wish to congratulate Dr. Keisler on having written such a substantial book. This book gives a very accessible and well-founded introduction to a broad range of analytical techniques for guiding business and engineering decisions. Ahti Salo, Director, Systems Analysis Laboratory, Aalto University. Operations research. 57943 Business mathematics. Mathematical optimization. 65522 Big data. 57216 Mathematical models. 66910 Business Data processing. 59544 Operations Research and Decision Theory. 67143 Business Mathematics. Discrete Optimization. 73079 Big Data. 57216 Mathematical Modeling and Industrial Mathematics. 66912 Business Analytics. 66186 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031593529 Printed edition: 9783031593543 Printed edition: 9783031593550 Springer Texts in Business and Economics, 2192-4341 69742 https://doi.org/10.1007/978-3-031-59353-6 ZDB-2-BUM ZDB-2-SXBM 62708 62708