More Details about Business Analytics with Management Science Models and Methods

General Information  
Author(s)Arben Asllani
PublisherPearson Education
ISBN9789352861743
Pages400
BindingPaperback
LanguageEnglish
Publish YearSeptember 2017

Description

This book is designed to help students and practitioners use business analytics to improve decision-making systems. It sets itself apart from the competition by emphasizing the application of practical management science techniques in business analytics, rather than the theoretical. Drawing on 20+ years of teaching and consulting experience, Dr. Arben Asllani introduces decision analytics through realistic examples and intuitive explanations — not complex formulae and theoretical definitions. Throughout, Asllani helps practitioners focus more on the crucial input-output aspects of decision making — and less upon internal model complexities that can usually be "delegated" to software.

Salient Features
The first practical, managerial guide to decision modeling and analytics 
Improve decision-making by applying practical management science techniques to business analytics
Teaches through realistic examples and intuitive explanations proven through 20+ years of MBA-level teaching experience
Helps practitioners focus more on key decision-making inputs and outputs, not internal model complexities they can rely on software to handle
Presents success stories showing how each chapter's key concepts can be applied to improve decision-making
Provides Excel templates, heuristics, algorithms, tips, and user-friendly interfaces that make ""big data"" decision models easier to create and use

Table of Content
Chapter 1  Business Analytics with Management Science 
Chapter 2  Introduction to Linear Programming 
Chapter 3  Business Analytics with Linear Programming 
Chapter 4  Business Analytics with Nonlinear Programming  
Chapter 5  Business Analytics with Goal Programming 
Chapter 6  Business Analytics with Integer Programming 
Chapter 7  Business Analytics with Shipment Models 
Chapter 8  Marketing Analytics with Linear Programming 
Chapter 9  Marketing Analytics with Multiple Goals  
Chapter 10  Business Analytics with Simulation 
Appendix A  Excel Tools for the Management Scientist 
Appendix B  A Brief Tour of Solver