Introduction to Business Analytics Using Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Business Analytics Using Simulation write by Jonathan P. Pinder. This book was released on 2022-02-06. Introduction to Business Analytics Using Simulation available in PDF, EPUB and Kindle. 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
Introduction to Business Analytics Using Simulation Models
Introduction to Business Analytics Using Simulation Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Business Analytics Using Simulation Models write by Jonathan Pinder. This book was released on 2015-08-06. Introduction to Business Analytics Using Simulation Models available in PDF, EPUB and Kindle. Introduction to Business Analytics Using Simulation Models introduces the fundamental principle of business analytics and data science: APPLIED PROBABILITY. Because probability is extremely counter-intuitive, the book makes extensive use of simulation models to provide students with experiential learning to develop a deep and true understanding of how uncertainty and decision-making work. This book helps you understand the foundation of data science techniques in use today.Based on an MBA course Jon has taught at Wake Forest University over the past 25 years, Introduction to Business Analytics Using Simulation Models provides examples of real-world business problems to illustrate these principles. You'll learn how to think about the uncertain future and create data-science probability models for business decision-making.
An Introduction to Business Analytics
An Introduction to Business Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Introduction to Business Analytics write by Ger Koole. This book was released on 2019-03-13. An Introduction to Business Analytics available in PDF, EPUB and Kindle. Business Analytics (BA) is about turning data into decisions. This book covers the full range of BA topics, including statistics, machine learning and optimization, in a way that makes them accessible to a broader audience. Decision makers will gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data scientists will benefit from an overview of the field and take their first steps as business analytics specialist. Through this book and the various exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning.
Mathematical Modeling for Business Analytics
Mathematical Modeling for Business Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Modeling for Business Analytics write by William P. Fox. This book was released on 2017-12-15. Mathematical Modeling for Business Analytics available in PDF, EPUB and Kindle. Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling. This book emphasizes and focuses on the aspects of constructing a useful model formulation, as well as building the skills required for decision analysis. The book also focuses on sensitivity analysis. The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book. Boasts many illustrative examples to help solve problems Provides many solutions for each chapter Emphasizes model formulation and helps create model building skills for decision analysis Provides the tools to support analysis and interpretation
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics write by Andrew Greasley. This book was released on 2019-10-21. Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics available in PDF, EPUB and Kindle. This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.
