Introduction to Business Analytics Using Simulation

Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics.

Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.

  • Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making
  • Explains the processes needed to develop, report and analyze business data
  • Describes how to use and apply business analytics software
  • Offers expanded coverage on the value and application of prescriptive analytics
  • Includes a wealth of illustrative exercises that are newly organized by difficulty level
  • Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition
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Introduction to Business Analytics Using Simulation

Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics.

Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.

  • Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making
  • Explains the processes needed to develop, report and analyze business data
  • Describes how to use and apply business analytics software
  • Offers expanded coverage on the value and application of prescriptive analytics
  • Includes a wealth of illustrative exercises that are newly organized by difficulty level
  • Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition
83.99 In Stock
Introduction to Business Analytics Using Simulation

Introduction to Business Analytics Using Simulation

by Jonathan P. Pinder
Introduction to Business Analytics Using Simulation

Introduction to Business Analytics Using Simulation

by Jonathan P. Pinder

eBook

$83.99 

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Overview

Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics.

Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.

  • Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making
  • Explains the processes needed to develop, report and analyze business data
  • Describes how to use and apply business analytics software
  • Offers expanded coverage on the value and application of prescriptive analytics
  • Includes a wealth of illustrative exercises that are newly organized by difficulty level
  • Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Product Details

ISBN-13: 9780323991179
Publisher: Elsevier Science
Publication date: 02/06/2022
Sold by: Barnes & Noble
Format: eBook
Pages: 512
File size: 152 MB
Note: This product may take a few minutes to download.

About the Author

Dr. Pinder's research has been published in Decision Sciences, the Journal of Operations Management, the Journal of Forecasting, the Journal of Economics and Business, Managerial and Decision Economics, the Journal of the Operational Research Society, Decision Sciences Journal of Innovative Education, and Decision Economics, among others. Dr. Pinder has received numerous teaching awards. He is a member of the Decision Sciences Institute and the Institute for Operations Research and Management Science.

Table of Contents

1. Business Analytics is Making Decisions
2. Decision Trees
3. Decision-Making and Simulation
4. Probability: Measuring Uncertainty
5. Subjective Probability Distributions
6. Empirical Probability Distributions
7. Theoretical Probability Distributions
8. Simulation Accuracy: Central Limit Theorem and Sampling
9. Simulation Fit and Significance: Chi-Square and ANOVA
10. Regression
11. Forecasting
12. Constrained Linear Optimization

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Presents decision analysis and simulation strategies, providing students with a definitive understanding of probability and statistics

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