Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics

Author: Cliff Ragsdale

Publisher: Cengage Learning

ISBN: 130594741X

Category: Business & Economics

Page: 864

View: 6454

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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.

Business Analytics: Data Analysis & Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: Cengage Learning

ISBN: 1337225274

Category: Business & Economics

Page: 984

View: 8969

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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.

Practical Spreadsheet Risk Modeling for Management

Author: Dale Lehman,Huybert Groenendaal,Greg Nolder

Publisher: CRC Press

ISBN: 1439855544

Category: Business & Economics

Page: 284

View: 2066

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Risk analytics is developing rapidly, and analysts in the field need material that is theoretically sound as well as practical and straightforward. A one-stop resource for quantitative risk analysis, Practical Spreadsheet Risk Modeling for Management dispenses with the use of complex mathematics, concentrating on how powerful techniques and methods can be used correctly within a spreadsheet-based environment. Highlights Covers important topics for modern risk analysis, such as frequency-severity modeling and modeling of expert opinion Keeps mathematics to a minimum while covering fairly advanced topics through the use of powerful software tools Contains an unusually diverse selection of topics, including explicit treatment of frequency-severity modeling, copulas, parameter and model uncertainty, volatility modeling in time series, Markov chains, Bayesian modeling, stochastic dominance, and extended treatment of modeling expert opinion End-of-chapter exercises span eight application areas illustrating the broad application of risk analysis tools with the use of data from real-world examples and case studies This book is written for anyone interested in conducting applied risk analysis in business, engineering, environmental planning, public policy, medicine, or virtually any field amenable to spreadsheet modeling. The authors provide practical case studies along with detailed instruction and illustration of the features of ModelRisk®, the most advanced risk modeling spreadsheet software currently available. If you intend to use spreadsheets for decision-supporting analysis, rather than merely as placeholders for numbers, then this is the resource for you.

Making Great Decisions in Business and Life

Author: David R. Henderson,Charles L. Hooper

Publisher: Chicago Park Press

ISBN: 0976854104

Category: Decision making

Page: 287

View: 2894

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The phrase "work smarter, not harder" has been repeatedly ridiculed in the Dilbert comic strip and elsewhere, not because it is a bad idea, but because it is thrown like a brick lifesaver to drowning employees. To tell someone to work smarter is like telling someone to be happier, healthier, and richer. It's not much help to merely repeat the objective; what people need is a plan for achieving the objective.In Making Great Decisions, we show our readers how to achieve their objectives. We write to help those in business and those in the business of life--i.e., everyone--to work smarter. Our ideas are both simple and powerful. We offer a better way to look at problems so that the solutions are easier to find. We help supplement our readers' clear thinking by summarizing some of the most powerful techniques we have discovered.Have you ever driven through corn country? From a distance, all you see are corn stalks and more corn stalks in a jumbled mess. Then suddenly, when you get closer, your perspective changes, and you can see down the rows and realize that the corn was planted perfectly in straight lines. Your perception of the crop changes from a messy jumble to a clear picture simply because you're in the right spot. This book puts readers in that ideal spot. So many problems seem like hopeless jumbles but then, when you start using the techniques we discuss here, they start to look as straightforward as the straightest line in an Iowa cornfield.What motivated us to write this book is that, over the years, both of us have regularly come across people in organizations--often bright people with MBAs or other graduate degrees--who don't think they have time, energy, or skills to make good decisions. They have many clues but don't know how to put them together. They regularly face situations that they could analyze with some of the tools they learned in their courses, but they don't realize that. We don't hold ourselves apart from this group, and stories of our successes and failures are sprinkled throughout Making Great Decisions in Business and Life.

Essentials of Business Analytics

Author: Jeffrey D. Camm,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann,David R. Anderson

Publisher: Cengage Learning

ISBN: 1337015628

Category: Business & Economics

Page: 896

View: 4961

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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.

Metaheuristics for Business Analytics

A Decision Modeling Approach

Author: Abraham Duarte,Manuel Laguna,Rafael Marti

Publisher: Springer

ISBN: 3319681192

Category: Business & Economics

Page: 136

View: 8682

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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.

Business Analytics with Management Science Models and Methods

Author: Arben Asllani

Publisher: Pearson Education

ISBN: 0133760359

Category: Business & Economics

Page: 400

View: 6093

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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.

Microsoft Excel Data Analysis and Business Modeling

Author: Wayne Winston

Publisher: Microsoft Press

ISBN: 1509304223

Category: Computers

Page: 984

View: 5772

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Master business modeling and analysis techniques with Microsoft Excel 2016, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers. This edition adds 150+ new problems with solutions, plus a chapter of basic spreadsheet models to make sure you’re fully up to speed. Solve real business problems with Excel–and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Summarize data by using PivotTables and Descriptive Statistics Use Excel trend curves, multiple regression, and exponential smoothing Master advanced functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Leverage the new charts in Excel 2016 (including box and whisker and waterfall charts) Make charts more effective by using Power View Tame complex optimizations by using Excel Solver Run Monte Carlo simulations on stock prices and bidding models Work with the AGGREGATE function and table slicers Create PivotTables from data in different worksheets or workbooks Learn about basic probability and Bayes’ Theorem Automate repetitive tasks by using macros

Statistics for Business

Decision Making and Analysis

Author: Robert A. Stine,Dean P. Foster

Publisher: Pearson

ISBN: 9780134497167

Category: Business & Economics

Page: 912

View: 1330

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For one- and two-semester courses in introductory business statistics. Understand Business. Understand Data. The 3rd Edition of Statistics for Business: Decision Making and Analysis emphasizes an application-based approach, in which readers learn how to work with data to make decisions. In this contemporary presentation of business statistics, readers learn how to approach business decisions through a 4M Analytics decision making strategy-motivation, method, mechanics and message-to better understand how a business context motivates the statistical process and how the results inform a course of action. Each chapter includes hints on using Excel, Minitab Express, and JMP for calculations, pointing the reader in the right direction to get started with analysis of data. Also available with MyLab Statistics MyLab(tm) Statistics from Pearson is the world's leading online resource for teaching and learning statistics; it integrates interactive homework, assessment, and media in a flexible, easy-to-use format. MyLab Statistics is a course management system that helps individual students succeed. It provides engaging experiences that personalize, stimulate, and measure learning for each student. Tools are embedded to make it easy to integrate statistical software into the course. Note: You are purchasing a standalone product; MyLab(tm)does not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab, search for: 013450867X / 9780134508672 Statistics for Business: Decision Making and Analysis Plus MyLab Statistics with Pearson eText Package consists of: 0134497163 / 9780134497167 Statistics for Business: Decision Making and Analysis 032192147X / 9780321921475 MyLab Statistics for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyLab Statistics for Business Statistics Sticker

Statistical Data Analytics

Foundations for Data Mining, Informatics, and Knowledge Discovery

Author: Walter W. Piegorsch

Publisher: John Wiley & Sons

ISBN: 1119030668

Category: Mathematics

Page: 488

View: 3235

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A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text extends beyond these introductory topics, however, to supervised learning in linear regression, generalized linear models, and classification analytics. Finally, unsupervised learning via dimension reduction, cluster analysis, and market basket analysis are introduced. Extensive examples using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others. Statistical Data Analytics: Focuses on methods critically used in data mining and statistical informatics. Coherently describes the methods at an introductory level, with extensions to selected intermediate and advanced techniques. Provides informative, technical details for the highlighted methods. Employs the open-source R language as the computational vehicle – along with its burgeoning collection of online packages – to illustrate many of the analyses contained in the book. Concludes each chapter with a range of interesting and challenging homework exercises using actual data from a variety of informatic application areas. This book will appeal as a classroom or training text to intermediate and advanced undergraduates, and to beginning graduate students, with sufficient background in calculus and matrix algebra. It will also serve as a source-book on the foundations of statistical informatics and data analytics to practitioners who regularly apply statistical learning to their modern data.

Practical Management Science

Author: Wayne L. Winston,S. Christian Albright

Publisher: Cengage Learning

ISBN: 1337406651

Category: Business & Economics

Page: 50

View: 7587

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Take full advantage of the power of spreadsheet modeling with the guidance in PRACTICAL MANAGEMENT SCIENCE, 6E, geared entirely to Excel 2016. This edition integrates modeling into all functional areas of business -- finance, marketing, operations management -- using real examples and real data. The book emphasizes applied, relevant learning while presenting the right amount of theory to ensure readers gain a strong foundation. Exercises offer practical, hands-on experience working with the methodologies. The authors focus on modeling rather than algebraic formulations or memorization of particular models. This edition provides new and updated cases as well as a new chapter on data mining. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Business Analytics: The Art of Modeling With Spreadsheets, 5th Edition

The Art of Modeling With Spreadsheets

Author: Powell,Kenneth R. Baker

Publisher: Wiley Global Education

ISBN: 1119298318

Category: Business & Economics

Page: 552

View: 3292

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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.

The Applied Business Analytics Casebook

Applications in Supply Chain Management, Operations Management, and Operations Research

Author: Matthew J. Drake

Publisher: FT Press

ISBN: 0133408698

Category: Business & Economics

Page: 280

View: 4388

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The first collection of cases on “big data” analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading “big data” experts, the cases in The Applied Business Analytics Casebook covers: Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models

An Introduction to Management Science: Quantitative Approaches to Decision Making

Author: David R. Anderson,Dennis J. Sweeney,Thomas A. Williams,Jeffrey D. Camm,James J. Cochran

Publisher: Cengage Learning

ISBN: 1305544668

Category: Business & Economics

Page: 912

View: 5852

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Reflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. The trusted market leader for more than two decades, the book uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2013 to effectively prepare you to work with the latest spreadsheet tools. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

VBA for Modelers: Developing Decision Support Systems with Microsoft Office Excel

Author: S. Christian Albright

Publisher: Cengage Learning

ISBN: 1305537645

Category: Business & Economics

Page: 736

View: 8914

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Today’s learners master both basic and advanced skills in Visual Basic for Applications (VBA), the programming language for Microsoft Office, with this essential tool. Albright’s VBA FOR MODELERS: DEVELOPING DECISION SUPPORT SYSTEMS WITH MICROSOFT OFFICE EXCEL, 5E teaches how to automate common spreadsheet tasks as well as create the sophisticated management science applications needed in business today. The first half of the book introduces readers to the fundamentals of VBA for Excel. The second half of the book puts knowledge into action as it illustrates how to automate a number of management science models using VBA. Students learn to develop clean code and user-friendly interfaces for inputs and results. A new section familiarizes readers with PowerPivot and the new Excel Data Model. Novices as well as more experienced professionals will find the skills and background they need to maximize their VBA skills. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Applied Regression Analysis

A Second Course in Business and Economic Statistics

Author: Terry E. Dielman

Publisher: South-Western Pub

ISBN: 9780534465483

Category: Mathematics

Page: 496

View: 6587

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APPLIED REGRESSION ANALYSIS applies regression to real data and examples while employing commercial statistical and spreadsheet software. Covering the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis, the text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.

Management Decision Making

Spreadsheet Modeling, Analysis, and Application

Author: George E. Monahan

Publisher: Cambridge University Press

ISBN: 9780521781183

Category: Business & Economics

Page: 714

View: 5000

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CD-ROM contains: Crystal Ball -- TreePlan -- AnimaLP -- Queue -- ExcelWorkbooks.

Keeping Up with the Quants

Your Guide to Understanding and Using Analytics

Author: Thomas H. Davenport,Jinho Kim

Publisher: Harvard Business Review Press

ISBN: 142218725X

Category: Business & Economics

Page: 240

View: 6353

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A renowned thought-leader and a professor of statistics team up to provide the essential tools for enhancing thinking and decision-making in today's workplace in order to be more competitive and successful. 25,000 first printing.