Business Analytics with Management Science Models and Methods at Meripustak

Business Analytics with Management Science Models and Methods

Books from same Author: Arben Asllani

Books from same Publisher: Pearson Education

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  • General Information  
    Author(s)Arben Asllani
    PublisherPearson Education
    Publish YearSeptember 2017


    Pearson Education Business Analytics with Management Science Models and Methods by Arben Asllani

    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