Introduction To Business Analytics Using Simulation

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Introduction to Business Analytics Using Simulation

Author : Jonathan P. Pinder
Publisher : Academic Press
ISBN 13 : 0323991173
Total Pages : 513 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Introduction to Business Analytics Using Simulation by : Jonathan P. Pinder

Download or read book Introduction to Business Analytics Using Simulation written by Jonathan P. Pinder and published by Academic Press. This book was released on 2022-02-06 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Ger Koole
Publisher : Lulu.com
ISBN 13 : 9082017938
Total Pages : 174 pages
Book Rating : 4.0/5 (82 download)

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Book Synopsis An Introduction to Business Analytics by : Ger Koole

Download or read book An Introduction to Business Analytics written by Ger Koole and published by Lulu.com. This book was released on 2019 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : William P. Fox
Publisher : CRC Press
ISBN 13 : 1351368230
Total Pages : 336 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Mathematical Modeling for Business Analytics by : William P. Fox

Download or read book Mathematical Modeling for Business Analytics written by William P. Fox and published by CRC Press. This book was released on 2017-12-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Business Analytics

Author : Stephen G. Powell
Publisher : Wiley Global Education
ISBN 13 : 1119298318
Total Pages : 555 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Business Analytics by : Stephen G. Powell

Download or read book Business Analytics written by Stephen G. Powell and published by Wiley Global Education. This book was released on 2016-11-16 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Business Analytics

Author : Walter R. Paczkowski
Publisher : Springer Nature
ISBN 13 : 3030870235
Total Pages : 416 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Business Analytics by : Walter R. Paczkowski

Download or read book Business Analytics written by Walter R. Paczkowski and published by Springer Nature. This book was released on 2022-01-03 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.

Business Analytics

Author : S. Christian Albright
Publisher :
ISBN 13 : 9789814834391
Total Pages : 952 pages
Book Rating : 4.8/5 (343 download)

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Book Synopsis Business Analytics by : S. Christian Albright

Download or read book Business Analytics written by S. Christian Albright and published by . This book was released on 2017 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Getting Started with Business Analytics

Author : David Roi Hardoon
Publisher : CRC Press
ISBN 13 : 1439896534
Total Pages : 192 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Getting Started with Business Analytics by : David Roi Hardoon

Download or read book Getting Started with Business Analytics written by David Roi Hardoon and published by CRC Press. This book was released on 2013-03-26 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications. The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data. Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework for data mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.

Business Analytics

Author : Jeffrey D. Camm
Publisher : Cengage AU
ISBN 13 : 0357131789
Total Pages : 882 pages
Book Rating : 4.3/5 (571 download)

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Book Synopsis Business Analytics by : Jeffrey D. Camm

Download or read book Business Analytics written by Jeffrey D. Camm and published by Cengage AU. This book was released on 2020-03-10 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.

Global Business Analytics Models

Author : Hokey Min
Publisher : FT Press
ISBN 13 : 0134057619
Total Pages : 239 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis Global Business Analytics Models by : Hokey Min

Download or read book Global Business Analytics Models written by Hokey Min and published by FT Press. This book was released on 2016-03-05 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems. Dr. Hokey Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying today’s core quantitative tools, he demonstrates them at work in a wide spectrum of global applications. You’ll build models to help segment global markets, forecast demand, assess risk, plan financing, optimize supply chains, and more. Along the way, you’ll find practical guidance for developing analytic thinking, operationalizing Big Data in global environments, and preparing for future analytical innovations. Whether you’re a global executive, strategist, analyst, marketer, supply chain professional, student or researcher, this book will help you drive real value from analytics–in smarter decisions, improved strategy, and better management. In today’s global business environments characterized by growing complexity, volatility, and uncertainty, business analytics has become an indispensable tool for managing these challenges. Specifically, global managers need analytics expertise to solve problems, identify opportunities, shape strategy, mitigate risk, and improve their day-to-day operational efficiency. Now, for the first time, there’s an analytics guide designed specifically for decision-makers in global organizations. Leveraging his experience teaching a number of students and training hundreds of managers and executives, Dr. Hokey Min demystifies the principles and tools of modern business analytics, and demonstrates their real-world use in global business. First, Dr. Min identifies key success factors and mindsets, helping you establish the preconditions for effective analysis. Next, he walks you through the practicalities of collecting, organizing, and analyzing Big Data, and developing models to transform them into actionable insight. Building on these foundations, he illustrates core analytical applications in finance, healthcare, and global supply chains. He concludes by previewing emerging trends in analytics, including the newest tools for automated decision-making. Compare today’s key quantitative tools Stats, data mining, OR, and simulation: how they work, when to use them Get the right data... ...and get the data right Predict the future... ...and sense its arrival sooner than others can

Spreadsheet Modeling and Decision Analysis

Author : Cliff T. Ragsdale
Publisher :
ISBN 13 : 9780760033296
Total Pages : pages
Book Rating : 4.0/5 (332 download)

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Book Synopsis Spreadsheet Modeling and Decision Analysis by : Cliff T. Ragsdale

Download or read book Spreadsheet Modeling and Decision Analysis written by Cliff T. Ragsdale and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Valuable software, realistic examples, and fascinating topics . . . everything you need to master the most widely used management science techniques using Microsoft Excel is right here! Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company.

Microsoft Excel 2019 Data Analysis and Business Modeling

Author : Wayne Winston
Publisher : Microsoft Press
ISBN 13 : 1509306080
Total Pages : 1490 pages
Book Rating : 4.5/5 (93 download)

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Book Synopsis Microsoft Excel 2019 Data Analysis and Business Modeling by : Wayne Winston

Download or read book Microsoft Excel 2019 Data Analysis and Business Modeling written by Wayne Winston and published by Microsoft Press. This book was released on 2019-03-28 with total page 1490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel—and build your competitive advantage: Quickly transition from Excel basics to sophisticated analytics Use PowerQuery or Get & Transform to connect, combine, and refine data sources Leverage Office 365’s new Geography and Stock data types and six new functions Illuminate insights from geographic and temporal data with 3D Maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trend curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all of Excel’s great charts Quickly create forecasts from historical time-based data Use Solver to optimize product mix, logistics, work schedules, and investments—and even rate sports teams Run Monte Carlo simulations on stock prices and bidding models Learn about basic probability and Bayes’ Theorem Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook Automate repetitive analytics tasks by using macros

Essentials of Business Analytics

Author : Bhimasankaram Pochiraju
Publisher : Springer
ISBN 13 : 3319688375
Total Pages : 971 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Essentials of Business Analytics by : Bhimasankaram Pochiraju

Download or read book Essentials of Business Analytics written by Bhimasankaram Pochiraju and published by Springer. This book was released on 2019-07-10 with total page 971 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.

Prescriptive Analytics

Author : Dursun Delen
Publisher : FT Press
ISBN 13 : 013438900X
Total Pages : 287 pages
Book Rating : 4.1/5 (343 download)

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Book Synopsis Prescriptive Analytics by : Dursun Delen

Download or read book Prescriptive Analytics written by Dursun Delen and published by FT Press. This book was released on 2019-10-21 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process. In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies–all designed to deliver knowledge you can use. Discover where prescriptive analytics fits and how it improves decision-making Identify optimal solutions for achieving an objective within real-world constraints Analyze complex systems via Monte-Carlo, discrete, and continuous simulations Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning Preview emerging techniques based on deep learning and cognitive computing

Business Analytics with Management Science Models and Methods

Author : Arben Asllani
Publisher : Pearson Education
ISBN 13 : 0133760359
Total Pages : 401 pages
Book Rating : 4.1/5 (337 download)

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Book Synopsis Business Analytics with Management Science Models and Methods by : Arben Asllani

Download or read book Business Analytics with Management Science Models and Methods written by Arben Asllani and published by Pearson Education. This book was released on 2015 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Scientific Programming and Simulation Using R

Author : Owen Jones
Publisher : CRC Press
ISBN 13 : 1466570016
Total Pages : 599 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Introduction to Scientific Programming and Simulation Using R by : Owen Jones

Download or read book Introduction to Scientific Programming and Simulation Using R written by Owen Jones and published by CRC Press. This book was released on 2014-06-12 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear,

Human-Centric Smart Computing

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9819977118
Total Pages : 703 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Human-Centric Smart Computing by : Siddhartha Bhattacharyya

Download or read book Human-Centric Smart Computing written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Business Analytics Using SAS

Author : Shailendra Kadre
Publisher : Apress
ISBN 13 : 1484200438
Total Pages : 565 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Business Analytics Using SAS by : Shailendra Kadre

Download or read book Practical Business Analytics Using SAS written by Shailendra Kadre and published by Apress. This book was released on 2015-02-07 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.