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.

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.

Save time and be way more productive with Microsoft Excel macros Looking for ready-made Excel macros that will streamline your workflow? Look no further! Excel Macros For Dummies, 2nd Edition helps you save time, automate, and be more productive even with no programming experience at all. Each chapter offers macros you can implement right away, with practical exercises that extend your knowledge and help you understand the mechanics at work. You'll find over 70 of the most effective Excel macros for solving common problems and explanations of why and where to use each one plus invaluable guidance and step-by-step instruction for applying them effectively. Microsoft Excel is the world's leading spreadsheet application, and it supports VBA macros that allow you to customize the program and automate many common tasks. In no time, you'll learn how to customize your applications to look and work exactly the way you want them to, with simple, friendly walk-throughs that directly apply to real-world tasks. Follow it through from start to finish, or quickly look up problems as they occur. It's the perfect desk reference for all of your Microsoft Excel macros needs! * Immediately implement the given Excel macros * Work with workbooks, worksheets, and ranges * Clean data, automate reporting, and send email from Excel * Streamline your workflow If you have an Excel problem, there's a macro to solve it and now, you don't need to be a programmer to customize it for your own use!.

Bei Problemen in Technik, Natur- und Wirtschaftswissenschaften werden haufig maximale Ergebnisse unter minimalem Aufwand gesucht. Deshalb gewinnt die mathematische Optimierung sowohl fur Ingenieure als auch Natur- und Wirtschaftswissenschaftler zunehmend an Bedeutung. Das vorliegende Lehrbuch gibt eine Einfuhrung in die lineare, nichtlineare und vektorielle Optimierung, wobei auch Spezialfalle wie quadratische, parametrische und diskrete Optimierung betrachtet werden. Des Weiteren wird der Gegenstand der Spieltheorie und dynamischen Optimierung skizziert. Im Buch wird auf Beweise verzichtet und dafur die Problematik anhand von Beispielen illustriert. Ein zweiter Schwerpunkt des Buches liegt auf der Berechnung der behandelten Optimierungsaufgaben mittels Computer. Hierzu werden die Computeralgebrasysteme MAPLE, MATHEMATICA, MATHCAD und MATLAB und das Tabellenkalkulationsprogramm EXCEL herangezogen und versionsunabhangig erlautert."

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.