Prescriptive Analytics 2024th Edition Jeffrey M Keisler by Jeffrey M. Keisler 9783031593529, 3031593529 instant download after payment.

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.