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Business Analytics with Management Science Models and Methods

Business Analytics with Management Science Models and Methods

Author(s):
  • Arben Asllani
  • Author: Arben Asllani
    • ISBN:9789352861743
    • 10 Digit ISBN:9352861744
    • Price:Rs. 499.00
    • Pages:400
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


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    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.

     

    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 
     

    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