introduction to business analytics using simulation

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Introduction To Business Analytics Using Simulation

Author : Jonathan P. Pinder
ISBN : 9780128104866
Genre : Business & Economics
File Size : 76. 10 MB
Format : PDF, Docs
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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

Author : Jonathan P. Pinder
ISBN : 0128104848
Genre : Business & Economics
File Size : 68. 34 MB
Format : PDF, ePub, Mobi
Download : 965
Read : 382

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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. 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

Spreadsheet Modeling Decision Analysis A Practical Introduction To Business Analytics

Author : Cliff Ragsdale
ISBN : 9781305947412
Genre : Business & Economics
File Size : 85. 10 MB
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Written by an innovator in teaching spreadsheets and a highly regarded leader in business analytics, Cliff Ragsdale’s SPREADSHEET MODELING AND DECISION ANALYSIS: A PRACTICAL INTRODUCTION TO BUSINESS ANALYTICS, 8E helps readers master important spreadsheet and business analytics skills. Readers find everything needed to become proficient in today’s most widely used business analytics techniques using Microsoft Office Excel 2016. Learning to make effective decisions in today's business world takes training and experience. Author Cliff Ragsdale guides learners through the skills needed, using the latest Excel for Windows. Readers apply what they’ve learned to real business situations with step-by-step instructions and annotated screen images that make examples easy to follow. The World of Management Science sections further demonstrates how each topic applies to a real company. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Mathematical Modeling For Business Analytics

Author : William P. Fox
ISBN : 9781351368230
Genre : Business & Economics
File Size : 21. 83 MB
Format : PDF, Mobi
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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.

Business Analytics Data Analysis Decision Making

Author : S. Christian Albright
ISBN : 9781305947542
Genre : Business & Economics
File Size : 74. 93 MB
Format : PDF, Docs
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Master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, user-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, include increased emphasis on the tools commonly included under the Business Analytics umbrella -- including Microsoft Excel’s “Power BI” suite. In addition, up-to-date problem sets and cases provide realistic examples to show the relevance of the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Intro To Business A Primer

Author : Capsim
ISBN : 153544441X
Genre :
File Size : 23. 85 MB
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Companion text to CapsimCore Business Simulation

Business Analytics The Art Of Modeling With Spreadsheets 5th Edition

Author : Powell
ISBN : 9781119298311
Genre : Business & Economics
File Size : 23. 51 MB
Format : PDF, ePub
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Now in its fifth edition, Powell and Baker’s Business Analytics: The Art of Modeling with Spreadsheets provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. In this book, the authors cover spreadsheet engineering, management science, and the modeling craft. The briefness & accessibility of this title offers opportunities to integrate other materials –such as cases -into the course. It can be used in any number of courses or departments where modeling is a key skill.

Essentials Of Business Analytics

Author : Jeffrey D. Camm
ISBN : 9781337015622
Genre : Business & Economics
File Size : 27. 12 MB
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ESSENTIALS OF BUSINESS ANALYTICS, 2e can be used by students who have previously taken a course on basic statistical methods as well as students who have not had a prior course in statistics. The expanded material in the second edition of Essentials of Business Analytics also makes it amenable to a two-course sequence in business statistics and analytics. All statistical concepts contained in this textbook are presented from a business analytics perspective using practical business examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Business Analytics With Management Science Models And Methods

Author : Arben Asllani
ISBN : 9780133760354
Genre : Business & Economics
File Size : 59. 49 MB
Format : PDF, ePub, Docs
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This book is about prescriptive analytics. It provides business practitioners and students with a selected set of management science and optimization techniques and discusses the fundamental concepts, methods, and models needed to understand and implement these techniques in the era of Big Data. A large number of management science models exist in the body of literature today. These models include optimization techniques or heuristics, static or dynamic programming, and deterministic or stochastic modeling. The topics selected in this book, mathematical programming and simulation modeling, are believed to be among the most popular management science tools, as they can be used to solve a majority of business optimization problems. Over the years, these techniques have become the weapon of choice for decision makers and practitioners when dealing with complex business systems.

Using Simulations To Promote Learning In Higher Education

Author : John P. Hertel
ISBN : 1579220525
Genre : Education
File Size : 84. 56 MB
Format : PDF
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"Not only did I learn more substantive law than in any other course I've taken, but I learned why I needed to learn all those things." Alumnus of a legal simulation course Simulations create and use a complete environment within which students can interact to apply theory and practice skills to real-world issues related to their discipline. Simulations constitute a powerful tool for learning. They allow teachers simultaneously to integrate multiple teaching objectives in a single process. They motivate students, provide opportunities for active participation to promote deep learning, develop interactive and communication skills, and link knowledge and theory to application. This book provides an introduction to the use of simulations - from creating simple scenarios that can be completed in a single class period, to extended, complex simulations that may encompass a semester's curriculum. Assuming no prior experience in their use, the authors provide a recipe approach to selecting and designing scenarios for all sizes of class; offer guidance on creating simulated environments to meet learning objectives; and practical advice on managing the process in the classroom through to the crucial processes of debriefing and assessment. The detailed concluding description of how to plan and manage a complex simulation -- complete with its sample scenario and examples of documentation - provides a rich demonstration of the process. This book will appeal to anyone, in virtually any field of study, looking for effective ways to bridge the gap between academic learning and discipline-specific practice.

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