Data Analysis & Decision Making with Microsoft Excel

Author: Samuel Christian Albright,Wayne L. Winston,Christopher J. Zappe

Publisher: South-Western Pub

ISBN: 9780324663501

Category: Business & Economics

Page: 1090

View: 2542

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Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.

Business Analytics: Data Analysis & Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: Cengage Learning

ISBN: 1305947541

Category: Business & Economics

Page: 984

View: 9563

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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.

Data Analysis and Decision Making

Author: S. Albright,Wayne Winston,Christopher Zappe

Publisher: Cengage Learning

ISBN: 0538476125

Category: Business & Economics

Page: 1080

View: 1077

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DATA ANALYSIS AND DECISION MAKING emphasizes data analysis, modeling, and spreadsheet use in statistics and management science. This text became a market leader in its first edition for its clarity of writing and teach-by-example approach, and it continues that tradition in this edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Private Real Estate Investment

Data Analysis and Decision Making

Author: Roger J. Brown

Publisher: Academic Press

ISBN: 0121377512

Category: Business & Economics

Page: 282

View: 9430

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Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. *Excellent mixture of theory and application *Data and database analysis techniques are the first of their kind *CDROM contains pre-written code for data analysis tailored specifically to real estate settings

A PRACTITIONER'S GUIDE TO BUSINESS ANALYTICS: Using Data Analysis Tools to Improve Your Organization’s Decision Making and Strategy

Author: Randy Bartlett

Publisher: McGraw Hill Professional

ISBN: 0071807608

Category: Business & Economics

Page: 256

View: 2848

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Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.

Data Analysis for Managers with Microsoft Excel

Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe

Publisher: South-Western Pub

ISBN: 9780534383664

Category: Business & Economics

Page: 952

View: 9783

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This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of business applications, this examples-based text illustrates a variety of statistical methods to help students analyze data sets and uncover important information to aid decision-making. DATA ANALYSIS FOR MANAGERS contains professional StatPro add-ins for Microsoft Excel from Palisade, valued at one hundred fifty dollars packaged at no additional cost with every new text.

Management Decision Making

Spreadsheet Modeling, Analysis, and Application

Author: George E. Monahan

Publisher: Cambridge University Press

ISBN: 9780521781183

Category: Business & Economics

Page: 714

View: 4466

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

Statistics, Data Analysis, and Decision Modeling

Author: James R. Evans

Publisher: Prentice Hall

ISBN: 9780132744287

Category: Business & Economics

Page: 528

View: 8554

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A pragmatic approach to statistics, data analysis and decision modeling. Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension.

Real-world Data Mining

Applied Business Analytics and Decision Making

Author: Dursun Delen

Publisher: Pearson Education

ISBN: 0133551075

Category: Business & Economics

Page: 273

View: 1916

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Includes bibliographical references and index.

Data Analysis and Decision Making

Statistics, Statistics

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1467207896

Category: Education

Page: 39

View: 8019

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Facts101 is your complete guide to Data Analysis and Decision Making. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Data Mining and Statistics for Decision Making

Author: Stéphane Tufféry

Publisher: John Wiley & Sons

ISBN: 9780470979280

Category: Computers

Page: 716

View: 2030

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Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

Business Intelligence

Data Mining and Optimization for Decision Making

Author: Carlo Vercellis

Publisher: John Wiley & Sons

ISBN: 1119965470

Category: Mathematics

Page: 436

View: 2397

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Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.

Data Mining and Market Intelligence

Implications for Decision Making

Author: Mustapha Akinkunmi

Publisher: Morgan & Claypool Publishers

ISBN: 1681733218

Category: Computers

Page: 181

View: 6947

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This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining. Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.

Data Analysis, Optimization, and Simulation Modeling

Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe,Mark Nathan Broadie

Publisher: N.A

ISBN: 9780538476768

Category: Decision making

Page: 1061

View: 2407

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DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.

Decision Making For Dummies

Author: Dawna Jones

Publisher: John Wiley & Sons

ISBN: 1118847539

Category: Business & Economics

Page: 384

View: 4866

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Discover the best approaches for making business decisions Today's business leaders have to face the facts—you can't separate leadership from decision making. The importance of making decisions, no matter how big or small, cannot be overstated. Decision Making For Dummies is a candid resource that helps leaders understand the impact of their choices, not only on business, but also on their credibility and reputation. Designed for managers, business owners, and anyone else who makes tough decisions on a daily basis, this guide helps you figure out if the decisions you're making are the right ones. In addition to helping you explore how to evaluate your choices, Decision Making For Dummies covers ways to receive support for decision making, delves into various decision-making styles, reviews the importance of sifting through data and information, and includes information on ways to engage others and make decisions collectively. Being in charge can be challenging, but with this guide, you don't have to go it alone. Discusses the effects of decision making and outlines the considerations that must be made to gain trust and confidence Demonstrates ways to communicate particularly sensitive decisions, and offers approaches for making bold decisions that challenge the status quo Delves into the risks and benefits of certain decisions, and shows readers the best ways to evaluate choices Outlines smart strategies for engaging others and drawing them into the decision-making process Crucial decisions need to be made every day in the business world, so there's no time to waste. Make Decision Making For Dummies your primary resource for learning to choose your actions wisely and confidently.

Data Science for Business and Decision Making

Author: Luiz Favero,Patricia Favero

Publisher: Academic Press

ISBN: 9780128112168

Category: Business & Economics

Page: 1000

View: 8039

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Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software(R), IBM SPSS Statistics Software(R), and R. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Using Data in Schools to Inform Leadership and Decision Making

Author: Alex J. Bowers,Alan R. Shoho,Bruce G. Barnett

Publisher: IAP

ISBN: 1623967880

Category: Education

Page: 281

View: 2208

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Our fifth book in the International Research on School Leadership series focuses on the use of data in schools and districts as useful information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and attendance as just a short list of student information sources, while additional streams of data feed into schools and districts from teachers and parents as well as local, regional and national policy levels. To deal with the data, schools have implemented a variety of data practices, from data rooms, to data days, data walks, and data protocols. However, despite the flood of data, successful school leaders are leveraging an analysis of their school’s data as a means to bring about continuous improvement in an effort to improve instruction for all students. Nevertheless, some drown, some swim, while others find success. Our goal in this book volume is to bring together a set of chapters by authors who examine successful data use as it relates to leadership and school improvement. In particular, the chapters in this volume consider important issues in this domain, including: • How educational leaders use data to inform their practice. • What types of data and data analysis are most useful to successful school leaders. • To what extent are data driven and data informed practices helping school leaders positively change instructional practice? • In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking? • How have school leadership practices changed as more data and data analysis techniques have become available? • What are the major obstacles facing school leaders when using data for decision making and how do they overcome them?

Data, Models, and Decisions

The Fundamentals of Management Science

Author: Dimitris Bertsimas,Robert Michael Freund

Publisher: South-Western Pub

ISBN: N.A

Category: Business & Economics

Page: 530

View: 1558

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The book combines topics from two traditionally distinct quantitative subjects: probability/statistics and optimization models, into one unified treatment of quantitative methods and models for management and business. The book stresses those fundamental concepts that are most important for the practical analysis of management decisions: modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision-making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally.

Statistics for Business

Decision Making and Analysis

Author: Robert A. Stine,Dean P. Foster

Publisher: Pearson

ISBN: 9780134497167

Category: Business & Economics

Page: 912

View: 9051

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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