Prescriptive Analytics: Mastering the Spreadsheet of Everything

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.

"An important book. It will be invaluable in entry-level courses in prescriptive analytics and all related fields."

Robert Bordley, University of Michigan

"Without a doubt, one of the most intuitive and accessible journeys into the world of prescriptive analytics."

Gilberto Montibeller & Victor Podinovski, Loughborough University

"A remarkable in-depth treatment of implementing complex analytical formulations using spreadsheets in a simple and accessible way."

Ali Abbas, University of Southern California

"A fresh and very pragmatic approach to the challenges of developing analytical thinkers - and doers."

Patrick Noonan, 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, 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), State Street Corp.

"Professor Keisler's amazing book gives everyone analytics skills for success."

Igor Linkov, 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, Aalto University