BusinessObjects XI Release 2 For Dummies In no time, you'll be finding your way around Universes to see how everything is shaping up, viewing and creating reports, building powerful queries on your organizations database, and measuring your company's performance using BusinessObjects XI Release 2. This completely jargon-free handbook will put you in complete control of the ways and means of a truly exciting and powerful suite of business intelligence tools. Discover how to: Make business decisions with help from BusinessObjects Use BusinessObjects XI wizards Perform a server installation Create and define a Universe Set up desktop reporting Customize and use InfoView Measure performance with Dashboard and Analytics Take advantage of data marts and understand how they fit into your BusinessObjects system Created by a team with more than 15 years combined experience working with BusinessObjects tools, BusinessObjects XI Release 2 For Dummies comes complete with several short lists of useful information, including tips on how to prepare for a successful BusinessObjects integration and helpful resources beyond the pages of this book. You'll also find an overview of Crystal Reports, BusinessObjects’ companion reporting tool.

Designed for chemical engineering students and industry professionals, Programming for Chemical Engineers Using C, C++, and MATLAB® shows how to write reusable computer programs by guiding the reader through the process of: establishing the theoretical concept; determining the applicable numerical methods; testing the algorithm through manual calculation; writing and debugging the computer program based on the algorithm; and validating the result, using statistical analysis. All programs in the book are written in the three most popular languages (C, C++, and MATLAB) currently used in the chemical engineering curriculum and in industry. Because the book is written by a chemical engineer, practitioners and students will learn to write programs for appropriate subject matter of interest to them.

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functions The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques New discussion of variable selection with multivariable fractional polynomials Further exploration of time-varying covariates, complex with examples Additional treatment of the exponential, Weibull, and log-logistic parametric regression models Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values New examples and exercises at the end of each chapter Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government.

What’s the use of putting out reports that no one reads? Properly created dashboards are graphical representations that put data in a context for your audience, and they look really cool! How cool? You’ll find out when you see the dazzling examples in Excel 2007 Dashboards & Reports For Dummies. And, before long, everyone’s eyes will be riveted to your dashboards and reports too! This revolutionary guide shows you how to turn Excel into your own personal Business Intelligence tool. You’ll learn the fundamentals of using Excel 2007 to go beyond simple tables to creating dashboard-studded reports that wow management. Get ready to catch dashboard fever as you find out how to use basic analysis techniques, build advanced dashboard components, implement advanced reporting techniques, and import external date into your Excel reports. Discover how to: Unleash the power of Excel as a business intelligence tool Create dashboards that communicate and get noticed Think about your data in a new way Present data more effectively and increase the value of your reports Create dynamic labels that support visualization Represent time and seasonal trending Group and bucket data Display and measure values versus goals Implement macro-charged reporting Using Excel 2007 as a BI tool is the most cost-efficient way for organizations of any size create powerful and insightful reports and distribute throughout the enterprise. And Excel 2007 Dashboards and Reports for Dummies is the fastest you for you to catch dashboard fever!

This IBM® Redbooks® publication is written as part of the deployment guide series. This book provides a step-by-step guide for deploying ITCAM for Response Time V6.2. This deployment guide can help an IBM or business partner service person plan and perform the deployment of the product. The discussion of ITCAM for Response Time includes the explanation of product architecture and its components. We discuss planning and sizing considerations before you implement the product and some guidelines on setting up service engagement for the product. The deployment explained in the book would fit for a demonstration or a small deployment system, although the information is highly relevant for larger deployment engagements. This book also explains some usage scenario that can be performed for demonstrating the product.

Describes how to use Advanced DataGrid, OLAP DataGrid, Advanced charting, and automation agents.

“The authors, the best minds on the topic, are breaking new ground. They show how every organization can realize the benefits of a system that can search and present complex ideas or data from what has been a mostly untapped source of raw data.” --Randy Chalfant, CTO, Sun Microsystems The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data. William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond. This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes What unstructured data is, and how it differs from structured data First generation technology for handling unstructured data, from search engines to ECM--and its limitations Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies Processing semistructured data: uncovering patterns, words, identifiers, and conflicts Novel processing opportunities that arise when text is freed from context Architecture and unstructured data: Data Warehousing 2.0 Building unstructured relational databases and linking them to structured data Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions Capturing knowledge from spreadsheet data and email Implementing and managing metadata: data models, data quality, and more William H. Inmon is founder, president, and CTO of Inmon Data Systems. He is the father of the data warehouse concept, the corporate information factory, and the government information factory. Inmon has written 47 books on data warehouse, database, and information technology management; as well as more than 750 articles for trade journals such as Data Management Review, Byte, Datamation, and ComputerWorld. His b-eye-network.com newsletter currently reaches 55,000 people. Anthony Nesavich worked at Inmon Data Systems, where he developed multiple reports that successfully query unstructured data. Preface xvii 1 Unstructured Textual Data in the Organization 1 2 The Environments of Structured Data and Unstructured Data 15 3 First Generation Textual Analytics 33 4 Integrating Unstructured Text into the Structured Environment 47 5 Semistructured Data 73 6 Architecture and Textual Analytics 83 7 The Unstructured Database 95 8 Analyzing a Combination of Unstructured Data and Structured Data 113 9 Analyzing Text Through Visualization 127 10 Spreadsheets and Email 135 11 Metadata in Unstructured Data 147 12 A Methodology for Textual Analytics 163 13 Merging Unstructured Databases into the Data Warehouse 175 14 Using SQL to Analyze Text 185 15 Case Study--Textual Analytics in Medical Research 195 16 Case Study--A Database for Harmful Chemicals 203 17 Case Study--Managing Contracts Through an Unstructured Database 209 18 Case Study--Creating a Corporate Taxonomy (Glossary) 215 19 Case Study--Insurance Claims 219 Glossary 227 Index 233

Debra Dalgleish, Microsoft Office Excel "Most Valuable Professional" since 2001, and an expert and trainer in Excel, brings together a one-stop resource for anyone curious about representing, analyzing, and using their data with PivotTables and PivotCharts. You'll find this book inimitable when facing any new or difficult problem in PivotTables, covering the entire breadth of situations you could ever encounter, from planning and creating, to formatting and extracting data, to maximizing performance and troubleshooting. The author presents tips and techniques in this collection of recipes that can't be found in Excel's Help section, while carefully explaining the most confusing features of PivotTables to help you realize their powerful potential. The chapters in this book have been organized into a collection of recipes to take you step by step from the problem you are experiencing to the solution you are aiming for. Without fuss, you'll find clear and precise information to help you assess your situation, whether common or unique, and solve your problem. Working examples of complex PivotTables and numerous PivotTable programming examples will help you solve problems quickly, without the need to digest heavy content.

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditiona

Though many consumers know the basics of using Excel, few users understand the powerful capabilities of the PivotTable and PivotChart features. These tools can help turn long lists of unreadable data into dynamically generated, easy-to-read tables and charts that highlight useful and pertinent business information. Companies rely on this type of data from marketing, accounting, and finance to help make better decisions about products, sales and even human resources. Charts are interactive, allowing the consumer to tweak results with the click of a mouse and PivotTables allow you to fuse data from several sources into one document. This book shows users how to work with PivotTables and PivotCharts to make sense of their data. It covers features such as: understanding PivotTable benefits and uses; creating and customizing PivotTables; using PivotTables to analyze business data; building custom calculations; linking to external data sources, including Access databases, Word tables, Web pages, XML data, SQL Server databases, and OLAP cubes; publishing PivotTables to the Web; multiple consolidation of data, for example, summarizing annual fiscal data by quarters; preparing financial reporting, budgeting, and data analysis across departments; and using VBA to create macros that automate frequently used PivotTable tasks.

A thorough revision of the classic tutorial of scientific and engineering mathematics For more than fifteen years, Mastering Technical Mathematics has been the definitive self-teaching guide for those wishing to boost their career by learning the principles of mathematics as they apply to science and engineering. Featuring the same user-friendly pedagogy, practical examples, and detailed illustrations that have made this resource a favorite of the scientific and technical communities, the new third edition delivers four entirely new chapters and expanded treatment of cutting-edge topics.

THE ONLY VISIO 2007 BOOK YOU NEED “This book makes Visio as much fun as a video game.” Bob and Joy Schwabach, “On Computers,” Universal Press Syndicate We crafted this book to grow with you, providing the reference material you need as you move toward Visio® 2007 proficiency and the use of more advanced features. If you buy only one book on Visio® 2007, Special Edition Using Microsoft Office Visio® 2007 is the only book you need. • Working with shapes, stencils, and themes • Using the Data Graphics feature for extra customization • Importing content from Microsoft Excel and Microsoft Project • Displaying data as text, data bars, icons, and color-coding using Data Graphics • Creating custom stencils, icons, and templates • Storing and displaying employee information in organization charts • Customizing the layout of organization charts • Creating database models, flowcharts, and Gantt charts • Connecting shapes in network drawings • Using digital ink and animation • Creating macros • Handling guides and rulers • Working with layers • Getting the most from ShapeSheets

One of the leading experts on business data mining shows managers how to leverage SQL and Excel to perform sophisticated types of business analysis without the expense of data mining tools and consultants Explains how to use the relatively simple tools of SQL and Excel to extract useful business information from relational databases Each chapter discusses why and when to perform a particular type of business analysis to obtain a useful business result, how to design and perform the analysis using SQL and Excel, and what the results look like in SQL and Excel Presents hints, warnings, and technical asides about Excel, SQL, and data analysis/mining

Beginning PivotTables in Excel 2007 explains what PivotTables are, how you can benefit from using them, how to create them and modify them, and how to use their enhanced features. Using a Pivot Table in Microsoft Office Excel 2007 is a quick and exciting way to slice and dice a large amount of data. Carefully explains the benefits of using Pivot Tables for fast data analysis Provides a step-by-step approach to those new to Pivot Tables Offers tips and tricks that cannot be found elsewhere

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Written by John Sall, Lee Creighton, and Ann Lehman, this book is a great tool for statistics students or practitioners needing a software-related statistics review.

In this pragmatic, example-driven book, author Neil Constable demonstrates how you can use SAS code to enhance the capabilities of SAS Enterprise Guide. Designed to help you gain extra value from the products you already have, SAS Programming for Enterprise Guide Users contains tips and techniques that show you a variety of features that cannot be accessed directly through the task interfaces. In all cases, techniques are shown with examples that you can try and test, plus additional exercises are included to give you more practice. The end result is more efficient and resilient use of SAS Enterprise Guide in a wider variety of business areas. Included is a discussion of the following subject areas: the Output Delivery System advanced formatting macro variables and macros advanced reporting using PROC REPORT highlighting in reports hyperlinking between reports and graphs data manipulation using SQL data manipulation using the DATA step extended graphics By adding small amounts of code in key areas, SAS Enterprise Guide users can get more out of the product than the tasks reveal. Users should be familiar with the SAS Enterprise Guide user interface and tasks. No programming experience is necessary.

Web analytics is the process of measuring your web site, analyzing the data, and making changes based on the analysis. Many businesses are just starting to learn how they can increase the performance of their web site by using web analytics. For many people, their first exposure to web analytics is Google Analytics, a free tool available to everyone. Although analysis is vital to web analytics, you can't do analysis without good data. Configuring Google Analytics correctly is the key to collecting good data. This Short Cut provides a thorough description of how the Google Analytics system works, information about many different types of implementations, and ways to avoid common pitfalls. It also shares some best practices to get your setup correct the first time.

Google Analytics 2.0 BONUS : Each copy of Google Analytics 2.0 includes a $25 Google AdWords gift card compliments of Google. With this $25 gift card , you can attract new customers to your website on Google's dime.

Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques. Forecasting expected returns is an essential aspect of finance and highly technical The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives

“Automated decisions systems are probably already being used in your industry, and they will undoubtedly grow in importance. If your business needs to make quick, accurate decisions on an industrialized scale, you need to read this book.” Thomas H. Davenport, Professor, Babson College, Author of Competing on Analytics The computer-based systems most organizations rely on to support their businesses are not very smart. Many of the business decisions these companies make tend to be hidden in systems that make poor decisions, or don’t make them at all. Further, most systems struggle to keep up with the pace of change. The answer is not to implement newer, “intelligent” systems. The fact is that much of today’s existing technology has the potential to be “smart enough” to make a big difference to an organization’s business. This book tells you how. Although the business context and underlying principles are explained in a nontechnical manner, the book also contains how-to guidance for more technical readers. The book’s companion site, www.smartenoughsystems.com, has additional information and references for practitioners as well as news and updates. Additional Praise for Smart (Enough) Systems “James Taylor and Neil Raden are on to something important in this book–the tremendous value of improving the large number of routine decisions that are made in organizations every day.” Dr. Hugh J. Watson, Chair of Business Administration, University of Georgia “This is a very important book. It lays out the agenda for business technology in the new century–nothing less than how to reorganize every aspect of how a company treats its customers.” David Raab, President, ClientXClient “This book is an important contribution to business productivity because it covers the opportunity from both the business executive’s and technologist’s perspective. This should be on every operational executive’s and every CIO’s list of essential reading.” John Parkinson, Former CTO, Capgemini, North American Region “This book shows how to use proven technology to make business processes smarter. It clearly makes the case that organizations need to optimize their operational decisions. It is a must-have reference for process professionals throughout your organization.” Jim Sinur, Chief Strategy Officer, Global 360, Inc.

The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nonlinear mixed models.

Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered.

This book is part of the SAS Press program.

The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author's bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines. Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities. Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.

Created in partnership with SAS, this book explores SAS, a business intelligence software that can be used in any business setting or enterprise for data delivery, reporting, data mining, forecasting, statistical analysis, and more. SAS employee and technologist Stephen McDaniel combines real-world expertise and a friendly writing style to introduce readers to SAS basics. It covers crucial topics such as getting various types of data into the software, producing reports, working with the data, basic SAS programming, macros, and working with SAS and databases.

Create and distribute data-connected Microsoft Office Visio diagrams and reports Get full details on the powerful features of Microsoft Office Visio 2007 inside this comprehensive volume. Written by Visio expert David Parker, Visualizing Information with Microsoft Office Visio 2007 demonstrates how to effectively visualize, explore, and communicate complex business information. Learn to use PivotDiagrams, Data Graphics, and Smart Tags, as well as link data to shapes and create meaningful Visio documents and reports. Plus, you'll get vital security information, time-saving tips, troubleshooting techniques, and downloadable macros and code samples. Essential Skills for Database Users and Professionals Create shapes and link them to data Summarize and analyze information using PivotDiagrams Use Data Graphics, Smart Tags, and SmartShapes to reinforce information Generate robust Excel, HTML, and XML reports Create custom, reusable templates, stencils, and masters Update and enhance diagrams with Reviewer's comments and markups Integrate Visio diagrams with other Windows applications Publish and securely distribute Visio documents and summaries Extend functionality using VBA macros, add-ins, and wrapper applications

Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.