The prediction of the valuation of the "quality" of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the "actual" financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify "quality" characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.

Use Excel 365 and Excel 2021 core features to build spreadsheets that solve business problems and deliver reliable answers. Drawing on his unsurpassed experience, Paul McFedries helps you make the most of formulas and functions, including recent improvements ranging from dynamic arrays to XLOOKUP and LET. McFedries' step-by-step projects walk you through handling key tasks, from building timesheets to projecting cash flow and aging receivables. His practical examples and clear instructions demystify intermediate-to-advanced-level formula construction, and help you leverage Excel's most useful functions in your everyday work. Becoming an Excel expert has never been easier! By reading this book, you will: Improve business analyses by adding intelligence and knowledge to your models Replace cumbersome formulas with convenient predefined functions Use modern lookups to make your formulas more powerful and flexible Simplify complex calculations with dynamic arrays in Excel 365 and Excel 2021 Use conditional formatting to reveal anomalies, problems, or opportunities Calculate loan payments, interest costs, terms, and amortization schedules Project the future value of investments, and plan to achieve investment goals Master essential discounting and cash-flow analysis tools, including NPV and IRR Sort, filter, and analyze any tabular data, from customers to inventory Easily analyze huge datasets with PivotTable calculations Perform sophisticated what-if analyses, scenario planning, and forecasting Optimize profit, cost, or operational efficiency with Solver About This Book For everyone who wants to get more done with Microsoft Excel in less time For business and financial professionals, entrepreneurs, students, and others who need to efficiently manage and analyze data

The goal of the book is to technologically enhance the preparation of mathematics schoolteachers using an electronic spreadsheet integrated with Maple and Wolfram Alpha - digital tools capable of sophisticated symbolic computations. The content of the book is a combination of mathematical ideas and concepts associated with pre-college problem solving curriculum and their extensions into more advanced mathematical topics.The book provides prospective and practicing teachers with a foundation for developing a deep understanding of many concepts fundamental to the teaching of school mathematics. It also provides the teachers with a technical expertise in designing spreadsheet-based computational environments.Consistent with the current worldwide guidelines for technology-enhanced teacher preparation, the book emphasizes the integration of context, mathematics, and technology as a method for teaching mathematics. Throughout the book, a number of mathematics education documents developed around the world (Australia, Canada, England, Japan, Singapore, United States) are reviewed as appropriate.

Maximize your Excel experience with VBA Excel 2019 Power Programming with VBA is fully updated to cover all the latest tools and tricks of Excel 2019. Encompassing an analysis of Excel application development and a complete introduction to Visual Basic for Applications (VBA), this comprehensive book presents all of the techniques you need to develop both large and small Excel applications. Over 800 pages of tips, tricks, and best practices shed light on key topics, such as the Excel interface, file formats, enhanced interactivity with other Office applications, and improved collaboration features. Understanding how to leverage VBA to improve your Excel programming skills can enhance the quality of deliverables that you produce--and can help you take your career to the next level. Explore fully updated content that offers comprehensive coverage through over 900 pages of tips, tricks, and techniques Leverage templates and worksheets that put your new knowledge in action, and reinforce the skills introduced in the text Improve your capabilities regarding Excel programming with VBA, unlocking more of your potential in the office Excel 2019 Power Programming with VBA is a fundamental resource for intermediate to advanced users who want to polish their skills regarding spreadsheet applications using VBA.

Valuable software, realistic examples, clear writing, and fascinating topics help you master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS, 8E. You'll find everything you need to become proficient in today's most widely used business analytics techniques using Microsoft (R) Office Excel (R) 2016. Author Cliff Ragsdale -- respected innovator in business analytics -- guides you through the skills you need, using the latest Excel (R) for Windows. You gain the confidence to apply what you learn 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. Each new edition includes extended trial licenses for Analytic Solver Platform and XLMiner with powerful simulation and optimization tools for descriptive and prescriptive analytics and a full suite of tools for data mining in Excel.

The quick way to learn Microsoft Excel! This is learning made easy. Get more done, more quickly, with Microsoft Excel. Jump in wherever you need answers-brisk lessons and detailed screenshots show you exactly what to do, step by step. Quickly set up workbooks, enter data, and format it for effective visual impact Perform calculations and find and correct errors Manage, filter, summarize, validate, reorder, and combine data Identify trends, illustrate processes and relationships, and dynamically analyze data Build sophisticated forecasts, key performance indicators (KPIs), and timelines Visualize data with customized charts, 3D maps, and other powerful tools Import, process, summarize, and analyze huge data sets with PowerPivot and Power Query Use powerful Excel Data Models for advanced business intelligence

Leverage the full power of Bayesian analysis for competitive advantage Bayesian methods can solve problems you can't reliably handle any other way. Building on your existing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excel's Bayesian capabilities and move toward R to do even more. Step by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. Carlberg clarifies terminology that often bewilders analysts, and offers sample R code to take advantage of the rethinking package in R and its gateway to Stan. As you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organization-and yourself. Explore key ideas and strategies that underlie Bayesian analysis Distinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputs Use grid approximation to solve simple univariate problems, and understand its limits as parameters increase Perform complex simulations and regressions with quadratic approximation and Richard McElreath's quap function Manage text values as if they were numeric Learn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC) Use MCMC to optimize execution speed in high-complexity problems Discover when frequentist methods fail and Bayesian methods are essential-and when to use both in tandem

This work combines the teaching and explanation of spreadsheets with the essentials of finance and economics in a visual, interactive and project-based approach. Students progressively build skills in Microsoft Excel 97, by proceeding through a variety of basic applications. Although Microsoft Excel 97 is used as the demonstrative spreadsheet, the book is intended for use by other spreadsheet users. The accompanying disk contains spreadsheet files on which the text is based and the data for the exercises and assignement following each chapter.

The goal of the book is to technologically enhance the preparation of mathematics schoolteachers using an electronic spreadsheet integrated with Maple and Wolfram Alpha - digital tools capable of sophisticated symbolic computations. The content of the book is a combination of mathematical ideas and concepts associated with pre-college problem solving curriculum and their extensions into more advanced mathematical topics.The book provides prospective and practicing teachers with a foundation for developing a deep understanding of many concepts fundamental to the teaching of school mathematics. It also provides the teachers with a technical expertise in designing spreadsheet-based computational environments.Consistent with the current worldwide guidelines for technology-enhanced teacher preparation, the book emphasizes the integration of context, mathematics, and technology as a method for teaching mathematics. Throughout the book, a number of mathematics education documents developed around the world (Australia, Canada, England, Japan, Singapore, United States) are reviewed as appropriate.

A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis SQL and Excel to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way. Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS. * Understand core analytic techniques that work with SQL and Excel * Ensure your analytic approach gets you the results you need * Design and perform your analysis using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to best use the tools you already know to achieve expert results.

This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference - t-test and U-test; correlation - Spearman's rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal-Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. - Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel - Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. - Amazon 5-star review It has been very easy to follow and will be perfect for anyone. - Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. - Goodreads, 4-star review

The revised Fourth Edition of this popular textbook is redesigned with Excel 2016 to encourage business students to develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2016 with shortcuts, and translate results into implications for decision makers. The textbook features new examples and assignments on global markets, including cases featuring Chipotle and Costco. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China, and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. The author emphasises communicating results effectively in plain English and with screenshots and compelling graphics in the form of memos and PowerPoints. Chapters include screenshots to make it easy to conduct analyses in Excel 2016. PivotTables and PivotCharts, used frequently in business, are introduced from the start. The Fourth Edition features Monte Carlo simulation in four chapters, as a tool to illustrate the range of possible outcomes from decision makers' assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, auto-correlation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.

This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference - t-test and U-test; correlation - Spearman's rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal-Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. - Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel - Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. - Amazon 5-star review It has been very easy to follow and will be perfect for anyone. - Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. - Goodreads, 4-star review

SUCCEEDING IN BUSINESS WITH MICROSOFT OFFICE EXCEL 2013 prepares your students to solve business problems by moving beyond the basic "point and click" skills to think critically about realistic business situations. When students combine software analysis with their own decision making abilities, they are more likely meet any business challenge with success. The Succeeding in Business Series emphasizes problem-solving, critical thinking, and analysis - challenging students to find efficient and effective solutions.

This book illustrates important ways in which new parallel hardware is being used to improve the speed and usefulness of a variety of information systems. It contains thirteen original papers that survey the latest trends in performance enhancing architectures for smart information systems.
The machines featured in the text have been designed to support information systems ranging from relational databases to semantic networks and other artificial intelligence paradigms. In addition, many of the projects illustrated in the book contain generic architectural ideas that support higher-level requirements by using semantics-free hardware designs.
The case studies describe add-on machines and performance-enhancing units that employ parallel hardware to speed up database operations. Other case studies show how high-performance computers support database and related software, even though some platforms were originally designed for scientific or numeric applications. The last three chapters give examples of machines that are deliberately designed to speed up a particular knowledge representation formalism or a particular AI problem solving paradigm. The information presented throughout this book will help all those engaged in the design or use of high-performance architectures for nonnumeric (i.e., symbolic) applications.

Your hands-on guide to building effective Power BI dashboards Expand your expertise-and teach yourself how to create world-class Power BI business analysis dashboards that bring data to life for better decision-making. If you're an experienced business intelligence professional or manager, you'll get all the guidance, examples, and code you need to succeed-even if you've never used Power BI before. Successfully design, architect, and implement Power BI in your organization Take full advantage of any Microsoft Power BI platform, including Power BI Premium Make upfront decisions that position your Power BI project for success Build rich, live dashboards to monitor crucial data from across your organization Aggregate data and data elements from numerous internal and external data sources Develop dynamic visualizations, including charts, maps, and graphs Bring data to life with stunning interactive reports Ensure dashboard security and compliance Drive user adoption through effective training

The ultimate handbook for Excel analysts who need reporting solutions using Access

Excel and Access are intended to work together. This book offers a comprehensive review of the extensive analytical and reporting functionality that Access provides and how it enhances Excel reporting functions.

Sales managers, operations analysts, administrative assistants, office managers, and many others who rely heavily on data can benefit from learning to integrate Excel and Access, and this book shows you how.

Coverage includes: Data Analysis in Access & the Basics of AccessBeyond Select QueriesTransforming Your Data with AccessWorking with Calculations and DatesPerforming Conditional AnalysisAdding Dimension with Subqueries and Domain Aggregate FunctionsRunning Descriptive Statistics in AccessScheduling and Running Batch AnalysisLeveraging VBA to Enhance Data AnalysisReports, Dashboards, and Visualization in AccessPresenting Data with Access ReportsUsing Pivot Tables and Pivot Charts in AccessEnhancing Queries and Reports with VisualizationsAdvanced Excel and Access Integration TechniquesGetting Access Data into ExcelUsing VBA to Move Data between Excel and AccessExploring Excel and Access AutomationIntegrating Excel and Access with XMLIntegrating Excel and Other Office ApplicationsAccess VBA FundamentalsUnderstanding and Using SQLand more

"The Excel Analyst's Guide to Access helps you get more from both applications."

Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Over the past 10 years, object technology has gained widespread acceptance within the software industry. Within a wider context, however, it has made little impact on the core applications which support businesses in carrying out their tasks. This volume contains a collection of papers establishing the need for Business Objects, with particular reference to work undertaken by the Object Management Group (OMG). The emphasis is on defining an agenda for establishing Business Object standards and architectures, for developing software technology to support Business Objects applications and managing object oriented development projects. The wide variety of papers presented, and their authors' expertise, make this book a significant contribution to the development of Business Objects and their management.

Lotus Notes is one of the most successful and versatile groupware products on the market today and is used widely in both large and small organisations. Transforming Organisations Through Groupware - Lotus Notes in Action contains a selection of carefully chosen case studies which illustrate the implementational, organisational and commercial consequences of using Lotus Notes. These case studies have been chosen for their international appeal and, unlike other books on Lotus Notes, concentrate on the added value that can be gained by using Notes - rather than on the technical aspects of how to make the software work.

In the last few years multimedia hardware and applications have become widely available on PC and workstations. Moreover, through the tremendous development and the wide usage of the World Wide Web multimedia applications have been brought over the network to many people. This book presents the results of the fourth in a well established series of international workshops on Multimedia organized by the EUROGRAPHICS Association, and held from May 28 to 30, 1996, in Rostock, Germany. The workshop had the special topic Multimedia on the Net and was the follow up of the EUROGRAPHICS Symposium and Workshop on Multimedia held in Graz in June 1994. The workshop program consisted of an invited keynote speech and five technical sessions. The fifteen contributions selected for this volume treat topics of particular interest in current research and address actual problems of the use of multimedia in distributed applications over the network. According to the technical sessions they can be roughly structured in the parts concepts for handling multimedia data, still and motion pictures on the net, WWW and multimedia, collaborative multimedia, and multimedia and education. Concepts for handling multimedia data are addressed in two contributions. The first treats a frame based presentation model for distributed information systems (Kirste), the other one presents a temporal logic formalism for specifying navigational transformation in hypermedia applications (Mere et al.).

This volume presents the proceedings of the Second International Symposium of Formal Methods Europe, held in Barcelona, Spain in October 1994.
Besides two invited papers and seven industrial usage reports, there are 32 full papers selected from some 150 submissions. The industrial usage reports describe practical experiences in a variety of areas including security systems and railway signalling. The subjects of the research papers include refinement, proof, process modelling, specification of programming languages, model checking, real-time aspects, and the combination of formal and systematic methods; these contributions advance the foundations of formal methods and demonstrate their practical value.

The last decade has seen an enormous change in the capability of information technology and also in the expectations of what that technology can provide. The personal computer revolution at the start of the 1980s brought computing power to the desktop in a way that, for the first time, non-technical users could understand and use in their everyday work. The invisible wall of mystique that had separated computers from their potential users for so long had been demolished, and the world of business would never be the same again. As we entered the 1990s, a decade later, we witnessed the beginnings of another revolution. This revolution is not so obvious, but its implications are even more far-reaching. It is not so obvious because it is happening behind the scenes, in the communications and computing infrastructure that support the machines that can be seen sitting on office desks and, increasingly, being carried with business people as standard equipment along with a briefcase and umbrella. It is potentially more far-reaching for the following reason. The per sonal computer of the 1980s brought computing power to the user in a box that could fit on a desk. The revolution of the 1990s brings to the user computing power that is distributed across the whole planet."

The last few years have borne witness to a remarkable diversity of formal methods, with applications to sequential and concurrent software, to real-time and reactive systems, and to hardware design. In that time, many theoretical problems have been tackled and solved, and many continue to be worked upon. Yet it is by the suitability of their industrial application and the extent of their usage that formal methods will ultimately be judged. This volume presents the proceedings of the first international symposium of Formal Methods Europe, FME'93. The symposium focuses on the application of industrial-strength formal methods. Authors address the difficulties of scaling their techniques up to industrial-sized problems, and their suitability in the workplace, and discuss techniques that are formal (that is, they have a mathematical basis) and that are industrially applicable. The volume has four parts: - Invited lectures, containing a lecture by Cliff B. Jones and a lecture by Antonio Cau and Willem-Paul de Roever; - Industrial usage reports, containing 6 reports; - Papers, containing 32 selected and refereedpapers; - Tool descriptions, containing 11 descriptions.