Introduction To Business Analytics Using Simulation
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Introduction To Business Analytics Using Simulation
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Author : Jonathan P. Pinder
language : en
Publisher: Academic Press
Release Date : 2016-09-03
Introduction To Business Analytics Using Simulation written by Jonathan P. Pinder and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-03 with Business & Economics categories.
Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It 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 the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. - Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award - 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
Introduction To Business Analytics Using Simulation
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Author : Jonathan P. Pinder
language : en
Publisher: Academic Press
Release Date : 2022-02-06
Introduction To Business Analytics Using Simulation written by Jonathan P. Pinder and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-06 with Business & Economics categories.
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
An Introduction To Business Analytics
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Author : Ger Koole
language : en
Publisher: Lulu.com
Release Date : 2019
An Introduction To Business Analytics written by Ger Koole and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.
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.
Human Centric Smart Computing
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Author : Siddhartha Bhattacharyya
language : en
Publisher: Springer Nature
Release Date : 2024-02-17
Human Centric Smart Computing written by Siddhartha Bhattacharyya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-17 with Computers categories.
This book includes high-quality research papers presented at the Second International Conference on Human-Centric Smart Computing (ICHCSC 2023), organized by the University of Engineering and Management, Jaipur, India, on 5–6 July 2023 in New Delhi, India. The topics covered in the book are human-centric computing, hyper connectivity, and data science. The book presents innovative work by leading academics, researchers, and experts from industry.
Practical Business Analytics Using Sas
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Author : Shailendra Kadre
language : en
Publisher: Apress
Release Date : 2015-02-07
Practical Business Analytics Using Sas written by Shailendra Kadre and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-07 with Computers categories.
Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.
Business Analytics With Management Science Models And Methods
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Author : Arben Asllani
language : en
Publisher: FT Press
Release Date : 2014-11-17
Business Analytics With Management Science Models And Methods written by Arben Asllani and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-17 with Business & Economics categories.
Master decision modeling and analytics through realistic examples, intuitive explanations, and tested Excel templates. Business Analytics with Management Science has been designed to help students, practitioners and managers use business analytics to improve decision-making systems. Unlike previous books, it emphasizes the application of practical management science techniques in business analytics. 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.
Business Analytics
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Author : Stephen G. Powell
language : en
Publisher: John Wiley & Sons
Release Date : 2019-02
Business Analytics written by Stephen G. Powell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02 with Business & Economics categories.
Prescriptive Analytics
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Author : Jeffrey M. Keisler
language : en
Publisher: Springer Nature
Release Date : 2024-08-24
Prescriptive Analytics written by Jeffrey M. Keisler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-24 with Business & Economics categories.
This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics. The material uses only standard Excel spreadsheet features and functions for creating models. Using a step-by-step approach, readers learn a unified architecture for sensitivity, scenario, simulation, decision, and optimization analysis. Spreadsheets with numerous screenshots support visual, hands-on learning (and provide some surprising innovations). Special influence diagrams and non-intimidating but accurate terminology help explain the logic of the models and calculations. Well-structured chapters include guideposts, enrichment, and curated links to valuable external resources. Readers are encouraged to own their learning and think about future trajectories for themselves and the field. This book helps all readers quickly learn tools and concepts to use right away and to expand throughout a career. The book includes access to a companion website featuring workbooks and other valuable materials to support learning.
Metaheuristics For Business Analytics
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Author : Abraham Duarte
language : en
Publisher: Springer
Release Date : 2017-11-24
Metaheuristics For Business Analytics written by Abraham Duarte and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-24 with Business & Economics categories.
This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code. Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.
Introduction To Business Analytics Using Simulation Models
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Author : Jonathan Pinder
language : en
Publisher:
Release Date : 2015-08-06
Introduction To Business Analytics Using Simulation Models written by Jonathan Pinder and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-06 with categories.
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.