Introduction to Business Analytics Using Simulation PDF Download
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Author: Jonathan P. Pinder
Publisher: Academic Press
ISBN: 0323991173
Category : Business & Economics
Languages : en
Pages : 513
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Book Description
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
Author: Jonathan P. Pinder
Publisher: Academic Press
ISBN: 0323991173
Category : Business & Economics
Languages : en
Pages : 513
Get Book Here
Book Description
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
Author: Victor E. Sower
Publisher: Business Expert Press
ISBN: 1631570684
Category : Business & Economics
Languages : en
Pages : 154
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Book Description
“In this second edition, Vic and Chris have done an excellent job of citing the importance of accurate problem identi cation and the need for validated data input for the decision making process—a must read book for those managers responsible for making operational decisions.” - Richard Bozeman, Jr., Author and Inventor, Retired Chief of the Propulsion and Power Division Test Facilities, NASA “I TRULY enjoyed the book and found it very informative. I am not an easy sell when it comes to the quantitative approach however I WAS SOLD! I will never approach future negotiations and future data analysis the same after reading this book. GOOD JOB!”—Peter Birkholz, Managing Partner of the Sam Houston Group LP, Management Consultant—Birkholz Management Co., LLC -- Information is power in supply chain operations, negotiations, continuous improvement programs, process improvement, and indeed in all aspects of managing an operation. Accurate and timely information can result in better decisions that translate into the improvement of bottom-line results. This book provides the business professional a concise guide to the creation and effective use of both internal and external cost models. Development of internal cost models is discussed with illustrations showing how they can be deployed to assist in new product development, pricing decisions, make-or-buy decisions, and the identi cation of opportunities for internal process improvement projects.
Author: David M. Profozich
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
This is the first practical guide to simulating business processes and predicting the impact of change. The book offers new tools for reducing the risks associated with strategic change. Pragmatic strategies are given for implementing simulation.
Author: Ali Soofastaei
Publisher: Springer Nature
ISBN: 3030915891
Category : Business & Economics
Languages : en
Pages : 746
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Book Description
In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Author: Walter R. Paczkowski
Publisher: Springer Nature
ISBN: 3031318870
Category : Business & Economics
Languages : en
Pages : 381
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Book Description
This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github. This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.
Author: Derek J Barnick
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
This guide will provide you with important advice and guidance to save you time, stress, and headache. Derek has won the game multiple times and has consulted with students to help them win their games as well. This guide goes over Derek's top suggestions. It is meant to lower the learning curve to get students prepared quickly. Here is a review from one of Derek's YouTube viewers: "If you know anything about the BSG, you know how overwhelming it can be. Especially since along with a 40-page player guide, each decision variable page has its own help document that can rage from 5-15 pages. Derek's videos are a monumental help. The videos explaining the important nuances within each decision variable allowed me to grasp the concepts a lot better. If you want to do better, I recommend watching his videos, but only after reading the player guide. Having foundational knowledge of what was going on allowed me to better understand his advice. Knowing what to look for and use has helped me be rank one in my class for the two-year practice period and in the first year of the actual game. If all goes well year 12 I should have over 10.89 EPS, 54% ROE, and Image rating of 98."-Nader I
Author: Mark Hiscock
Publisher: IBM Redbooks
ISBN: 0738440728
Category : Computers
Languages : en
Pages : 266
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Book Description
The IBM® Operational Decision Manager product family provides value to organizations that want to improve the responsiveness and precision of automated decisions. This decision management platform on IBM z/OS® provides comprehensive automation and governance of operational decisions that are made within mainframe applications. These decisions can be shared with other cross-platform applications, providing true enterprise decision management. This IBM Redbooks® publication makes the case for using Operational Decision Manager for z/OS and provides an overview of its components. It is aimed at IT architects, enterprise architects, and development managers looking to build rule-based solutions. Step-by-step guidance is provided about getting started with business rules by using a scenario-based approach. This book provides detailed guidelines for testing and simulation and describes advanced options for decision authoring. Finally, it describes and documents multiple runtime configuration options. This third edition, SG24-8014-02, of this IBM Redbooks publication updated the information presented in this book to reflect function available in IBM Operational Decision Manager for z/OS Version 8.7.1.
Author: Lanner Group Ltd
Publisher: Lulu.com
ISBN: 1291476741
Category : Computers
Languages : en
Pages : 114
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Book Description
Simulation software for business decisions and profitability.
Author: Carl Spetzler
Publisher: John Wiley & Sons
ISBN: 111914468X
Category : Business & Economics
Languages : en
Pages : 260
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Book Description
Add value with every decision using a simple yet powerful framework Few things are as valuable in business, and in life, as the ability to make good decisions. Can you imagine how much more rewarding your life and your business would be if every decision you made were the best it could be? Decision Quality empowers you to make the best possible choice and get more of what you truly want from every decision. Dr. Carl Spetzler is a leader in the field of decision science and has worked with organizations across industries to improve their decision-making capabilities. He and his co-authors, all experienced consultants and educators in this field, show you how to frame a problem or opportunity, create a set of attractive alternatives, identify relevant uncertain information, clarify the values that are important in the decision, apply tools of analysis, and develop buy-in among stakeholders. Their straightforward approach is elegantly simple, yet practical and powerful. It can be applied to all types of decisions. Our business and our personal lives are marked by a stream of decisions. Some are small. Some are large. Some are life-altering or strategic. How well we make those decisions truly matters. This book gives you a framework and thinking tools that will help you to improve the odds of getting more of what you value from every choice. You will learn: The six requirements for decision quality, and how to apply them The difference between a good decision and a good outcome Why a decision can only be as good as the best of the available alternatives Methods for making both "significant" and strategic decisions The mental traps that undermine decision quality and how to avoid them How to deal with uncertainty—a factor in every important choice How to judge the quality of a decision at the time you're making it How organizations have benefited from building quality into their decisions. Many people are satisfied with 'good enough' when making important decisions. This book provides a method that will take you and your co-workers beyond 'good enough' to true Decision Quality.
Author: Iva M Wilson
Publisher: Routledge
ISBN: 1136356282
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
The Power of Collaborative Leadership: Lessons for the Learning Organization helps business leaders realize the promise of organizational learning by sharing the lessons, insights, and best practices gained by two veteran managers and organizational learning pioneers. The book makes organizational learning principles and concepts more concrete by grounding them in the practical experiences of two major companies. The Power of Collaborative Leadership helps business leaders realize the promise of organizational learning by sharing lessons, insights, and best practices gained by Bert Frydman and Iva Wilson, two veteran managers and organizational learning pioneers. Together with JoAnne Wyer, a professional learning analyst, they show that in order to be effective leaders of business organizations, we must transform an organization's methods of absorbing new information and its ability to transform it into knowledge and wisdom. This book offers some provocative and practical ways to overcome many commonly held assumptions and practices that can actually impede learning and the improvement of the organization.
