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SharePoint® 2010 Business Intelligence 24-Hour Trainer

This unique book-and-video package introduces SharePoint® 2010 Business Intelligence Learn to build and deliver SharePoint BI applications Written by a team of leading SharePoint and Business Intelligence (BI) experts, this unique book-and-video package shows you how to successfully build and deliver BI applications using SharePoint 2010. Assuming no previous SharePoint experience, the authors deliver a clear explanation of what SharePoint will do for your BI and information management capabilities. Each lesson in the book is reinforced with a helpful tutorial on the video and cover topics such as interactive reporting with Excel, document sharing for collaborative reporting, and controlling data sources. As you learn best practices for configuring and securing SharePoint 2010 BI applications and planning and implementing your SharePoint BI project plan, you'll be well on your way to gaining a solid foundation of understanding and working with SharePoint 2010 and BI. Provides an invaluable training book-and-video package that takes you through building and delivering BI applications using SharePoint 2010 Features an accompanying video tutorial for each lesson covered in the book, along with a "Try It" section at the end of each lesson Covers interactive reporting with excel Covers Power Pivot advanced analytics Details report and document sharing for collaborative reportingShows how to use SharePoint lists and libraries for data sources repositories in your BI projects Explains how to control data sources, reports and business intelligence content with permissions and workflow approvals. With this unique book-and-video combo, you'll be well on your way to successfully building and delivering BI applications using SharePoint 2010.

Practical Applications of Data Mining

Practical Applications of Data Mining emphasizes both theory and applications of data mining algorithms. Various topics of data mining techniques are identified and described throughout, including clustering, association rules, rough set theory, probability theory, neural networks, classification, and fuzzy logic. Each of these techniques is explored with a theoretical introduction and its effectiveness is demonstrated with various chapter examples. This book will help any database and IT professional understand how to apply data mining techniques to real-world problems.

Following an introduction to data mining principles, Practical Applications of Data Mining introduces association rules to describe the generation of rules as the first step in data mining. It covers classification and clustering methods to show how data can be classified to retrieve information from data. Statistical functions and drough set theory are discussed to demonstrate how statistical and rough set formulas can be used for data analytics and knowlege discovery. Neural networks is an important branch in computational intelligence. It is introduced and explored in the text to investigate the role of neural network algorithms in data analytics.

Data Analysis with Open Source Tools

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. Use graphics to describe data with one, two, or dozens of variables Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports, dashboards, and other metrics programs Understand financial calculations, including the time-value of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora

Performance Dashboards: Measuring, Monitoring, and Managing Your Business, 2nd Edition

Tips, techniques, and trends on harnessing dashboard technology to optimize business performance In Performance Dashboards, Second Edition, author Wayne Eckerson explains what dashboards are, where they can be used, and why they are important to measuring and managing performance. As Director of Research for The Data Warehousing Institute, a worldwide association of business intelligence professionals, Eckerson interviewed dozens of organizations that have built various types of performance dashboards in different industries and lines of business. Their practical insights explore how you can effectively turbo-charge performance–management initiatives with dashboard technology. Includes all-new case studies, industry research, news chapters on "Architecting Performance Dashboards" and "Launching and Managing the Project" and updated information on designing KPIs, designing dashboard displays, integrating dashboards, and types of dashboards. Provides a solid foundation for understanding performance dashboards, business intelligence, and performance management Addresses the next generation of performance dashboards, such as Mashboards and Visual Discovery tools, and including new techniques for designing dashboards and developing key performance indicators Offers guidance on how to incorporate predictive analytics, what-if modeling, collaboration, and advanced visualization techniques This updated book, which is 75% rewritten, provides a foundation for understanding performance dashboards, business intelligence, and performance management to optimize performance and accelerate results.

Google Analytics

Do you know what people do when they visit your website or web app? Or how much the site contributes to your bottom line? Google Analytics keeps track and makes it easy for you to learn precisely what's happening. This hands-on guide shows you how to get the most out of this free and powerful tool -- whether you're new to Google Analytics or have been using it for years. Google Analytics shows you how to track different market segments and analyze conversion rates, and reveals advanced techniques such as marketing-campaign tracking, a valuable feature that most people overlook. And this practical book not only provides complete code samples for web developers, it also explains the concepts behind the code to marketers, managers, and others on your team. Discover exactly how the Google Analytics system works Learn how to configure the system to measure data most relevant to your business goals Track online marketing activities, including cost-per-click ads, email, and internal campaigns Track events -- rather than page views -- on sites with features such as maps, embedded video, and widgets Configure Google Analytics to track enterprise data, including multiple domains Use advanced techniques such as custom variables and CRM integration

Applied SAP BI 7.0 Web Reports: Using BEx Web Analyzer and Web Application Designer

Deliver SAP BI 7.0 Web Reports Distribute integrated, accurate, and timely data across your enterprise using the Web-based reporting components in SAP BI. Written by an SAP insider, Applied SAP BI 7.0 Web Reports: Using BEx Web Analyzer and Web Application Designer shows you how to construct effective queries, create HTML-based reports, and combine key analytics into a dashboard-style interface. Learn how to import data from multiple providers, configure custom templates, track Key Performance Indicators (KPIs), and incorporate JavaScript and XHTML. Security, troubleshooting, and third-party tools are also discussed in this comprehensive guide. Essential BI skills for business professionals: Define queries and export them as links with BEx Web Analyzer Create BI-specific HTML pages using Web Application Designer and Report Designer Construct reusable templates, shortcuts, and Web items Design high-impact BI dashboards, cockpits, and billboards Integrate toolbars,drilldown capabilities, and drag-and-drop features Publish reporting objects with the Broadcaster and Broadcast Wizard Migrate existing systems and reports to the SAP BI 7.0 platform Add BusinessObjects, Crystal Reports, and JavaScript components Peter Jones, MBA, is a principal/platinum business applications consultant with SAP Professional Services Consulting. He has more than 11 years of consulting and educational experience in a variety of strategic and leadership roles. Jones is the author of SAP Business Information Warehouse Reporting.

Sams Teach Yourself Google Analytics™ in 10 Minutes

Sams Teach Yourself Google Analytics™ in 10 Minutes gives you straightforward, practical answers when you need fast results. By working through its 10-minute lessons, you’ll learn everything you need to use Google Analytics to accurately measure your website’s performance–and improve it! 10 minutes is all you need to learn how to… Quickly create a Google Analytics account and add Google Analytics to your site Define goals and measure how well your site is achieving them Track visitors from search engines, pay-per-click advertising, email, and other sources Discover the pages your visitors view, how long they stay, and where they exit Monitor specific user actions, such as playing embedded video, selecting Flash menu items, or downloading files Identify your best and worst content, and fix poorly performing pages Improve your site by tracking error pages and broken links Measure AdWords traffic, position, and e-commerce performance Manage Google Analytics through the Dashboard Customize Google Analytics to work more effectively with your site Capture more accurate information by filtering out internal traffic Choose the right reports and data, understand them, and act on what you learn

IBM Cognos 8 Report Studio Cookbook

The "IBM Cognos 8 Report Studio Cookbook" by Abhishek Sanghani provides over 80 hands-on recipes to enhance your proficiency in creating business reports using Cognos 8 Report Studio. From mastering basic techniques to leveraging advanced features, this book is your guide to developing reports that meet real-world business demands. What this Book will help me do Understand and utilize advanced techniques for sorting, filtering, and aggregating data in reports. Implement features like conditional formatting, cascaded prompts, and master-detail queries to enhance report functionality. Create dynamic, user-friendly business reports tailored to specific requirements. Make use of XML specifications to customize reports beyond the capabilities of the default tools. Adopt best practices in report development such as version control and regression testing. Author(s) Abhishek Sanghani is an experienced Business Intelligence professional specializing in IBM Cognos and data analytics. With practical knowledge from implementing solutions for various industries, he brings a wealth of insight into creating powerful business reports. Abhishek's approachable writing makes advanced Report Studio concepts accessible to readers. Who is it for? This book is ideally suited for Business Intelligence or MIS developers working with Cognos Report Studio, seeking advanced guidance for creating reports. Business analysts and power users wanting to extend beyond basic report authoring will also benefit greatly. The book assumes a functional understanding of Cognos Studio and familiarity with its ecosystem.

Performance Marketing with Google™ Analytics: Practical Strategies for Maximizing Online ROI

An unparalleled author trio shares valuable advice for using Google Analytics to achieve your business goals Google Analytics is a free tool used by millions of Web site owners across the globe to track how visitors interact with their Web sites, where they arrive from, and which visitors drive the most revenue and sales leads. This book offers clear explanations of practical applications drawn from the real world. The author trio of Google Analytics veterans starts with a broad explanation of performance marketing and gets progressively more specific, closing with step-by-step analysis and applications. Features in-depth examples and case studies on how to increase revenue from search advertising, optimize an existing website, prioritize channels and campaigns, access brand health and more Discusses how to communicate with a webmaster or developer to assist with installation Addresses Google's conversion-oriented tools, including AdWords and AdSense, Google trends, Webmaster tools, search-based keyword tools, and more Touches on brand tracking studies, usability research, competitive analysis, and statistical tools Throughout the book, the main emphasis is demonstrating how you can best use Google Analytics to achieve your business objectives.

Advanced Web Metrics with Google Analytics™, Second Edition

Valuable tips and tricks for using the latest version of Google Analytics Packed with insider tips and tricks, this how-to guide is fully revised to cover the latest version of Google Analytics and shows you how to implement proven Web analytics methods and concepts. This second edition of the bestselling Advanced Web Metrics with Google Analytics is the perfect book for marketers, vendors, consultants, and Webmasters who want to learn the installation, configuration, tracking techniques, and best practices of Google Analytics. Google Analytics is a free tool that measures Web site effectiveness and helps users better understand how web site performance; this book is a detailed usage guide written by one of the software's original creators Explains what filters keep data accurate, how to measure Flash usage and tag for e-mail marketing, and what visitor segmentation provides the most useful feedback Examines principles and practices of Web analytics, then shows how to use GA's reports and how to track dynamic Web pages, banners, outgoing links, and contact forms Discusses advanced setups for configuring goals and filters, how to integrate GA with third-party systems, and how to leverage the new API Advanced Web Metrics with Google Analytics, Second Edition is valuable for both novice and experienced users of Google Analytics.

Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do

WHAT ARE THE ODDS YOU'LL WIN THE LOTTERY? How long will your kids wait in line at Disney World? Who decides that “standardized tests” are fair? Why do highway engineers build slow-moving ramps? What does it mean, statistically, to be an “Average Joe”? NUMBERS RULE YOUR WORLD In the popular tradition of eye-opening bestsellers like Freakonomics, The Tipping Point, and Super Crunchers, this fascinating book from renowned statistician and blogger Kaiser Fung takes you inside the hidden world of facts and figures that affect you every day, in every way. These are the statistics that rule your life, your job, your commute, your vacation, your food, your health, your money, and your success. This is how engineers calculate your quality of living, how corporations determine your needs, and how politicians estimate your opinions. These are the numbers you never think about-even though they play a crucial role in every single aspect of your life. What you learn may surprise you, amuse you, or even enrage you. But there's one thing you won't be able to deny: Numbers Rule Your World… "An easy read with a big benefit." —Fareed Zakaria, CNN "For those who have anxiety about how organization data-mining is impacting their world, Kaiser Fung pulls back the curtain to reveal the good and the bad of predictive analytics." —Ian Ayres,Yale professor and author of Super Crunchers: Why Thinking By Numbers is the New Way to Be Smart "A book that engages us with stories that a journalist would write, the compelling stories behind the stories as illuminated by the numbers, and the dynamics that the numbers reveal." —John Sall, Executive Vice President, SAS Institute "Little did I suspect, when I picked up Kaiser Fung's book, that I would become so entranced by it - an illuminating and accessible exploration of the power of statistical analysis for those of us who have no prior training in a field that he explores so ably." —Peter Clarke, author of Keynes: The Rise, Fall, and Return of the 20th Century's Most Influential Economist "A tremendous book. . . . If you want to understand how to use statistics, how to think with numbers and yet to do this without getting lost in equations, if you've been looking for the book to unlock the door to logical thinking about problems, well, you will be pleased to know that you are holding that book in your hands." —Daniel Finkelstein, Executive Editor, The Times of London "I thoroughly enjoyed this accessible book and enthusiastically recommend it to anyone looking to understand and appreciate the role of statistics and data analysis in solving problems and in creating a better world." —Michael Sherman, Texas A&M University, American Statistician

Analytics at Work

Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results. In their previous book, Competing on Analytics, Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits. Now, in Analytics at Work, Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations—one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed. Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to: · Use data more effectively and glean valuable analytical insights · Manage and coordinate data, people, and technology at an enterprise level · Understand and support what analytical leaders do · Evaluate and choose realistic targets for analytical activity · Recruit, hire, and manage analysts Combining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data.

R in a Nutshell

Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics. The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems. Understand the basics of the language, including the nature of R objects Learn how to write R functions and build your own packages Work with data through visualization, statistical analysis, and other methods Explore the wealth of packages contributed by the R community Become familiar with the lattice graphics package for high-level data visualization Learn about bioinformatics packages provided by Bioconductor "I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."

Google Analytics™ Third Edition

With 2 billion sites on the Web, who's looking at yours? Google Analytics can tell you. With great new features including advanced customization and segmentation capabilities, Analytics supplies information about your site visitors that helps you ramp up the value of your site. And like its two previous editions, this guide shows you what's new in Google Analytics, how to get the most from the program, and what to do with what you learn. Understand the concepts, set up your Google Analytics program, use the right goals and filters, and read the reports Learn to interpret and apply Analytics results, even if you're not a Web pro See how other companies use Analytics data Explore new features such as AdSense integration, cost data settings, motion charts, custom reports, and event tracking Apply the information you'll get from reports on traffic, visitors, content, site searches, and more Drill down deeper with advanced techniques, tips, and hacks

Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity

Adeptly address today’s business challenges with this powerful new book from web analytics thought leader Avinash Kaushik. Web Analytics 2.0 presents a new framework that will permanently change how you think about analytics. It provides specific recommendations for creating an actionable strategy, applying analytical techniques correctly, solving challenges such as measuring social media and multichannel campaigns, achieving optimal success by leveraging experimentation, and employing tactics for truly listening to your customers. The book will help your organization become more data driven while you become a super analysis ninja!

Complete Web Monitoring

Do you really understand your online presence? Are you confident that visitors can use your website? Do you know their motivations? How do online communities perceive your company? To innovate and adapt your business quickly, you must know the answers to these questions. Complete Web Monitoring demonstrates how to measure every aspect of your web presence -- including analytics, backend performance, usability, communities, customer feedback, and competitive analysis -- whether you're running an e-commerce site, a community, a media property, or a Software-as-a-Service company. This book's concrete examples, clear explanations, and practical recommendations make it essential for anyone who runs a website. With this book you will: Discover how visitors use and interact with your site through web analytics, segmentation, conversions, and user interaction analysis Find out your market's motivations with voice-of-the-customer research Measure the health and availability of your website with synthetic testing and real-user monitoring Track communities related to your online presence, including social networks, forums, blogs, microblogs, wikis, and social news aggregators Understand how to assemble this data into clear reports tailored to your organization and audience You can't fix what you don't measure. Complete Web Monitoring shows you how to transform missed opportunities, frustrated users, and spiraling costs into online success. "This is a very comprehensive view of just about everything one needs to know about how websites work and what one needs to know about them. I'd like to make this book required reading for every employee at Gomez."-- Imad Mouline, CTO of Gomez

Pro SQL Server 2008 Analytics: Delivering Sales and Marketing Dashboards

Pro SQL Server 2008 Analytics provides everything you need to know to develop sophisticated and visually appealing sales and marketing dashboards using SQL Server 2008 and to integrate those dashboards with SharePoint, PerformancePoint, and other key Microsoft technologies.

Yahoo!® Web Analytics: Tracking, Reporting, and Analyzing for Data-Driven Insights

Yahoo! Web Analytics teaches readers how to collect data, report on that data, and derive useful insights using Yahoo!’s free Web analytics tool. This detailed resource from Yahoo!’s Director of Data Insights discusses the why of Web analytics as well as the how while revealing secrets and tricks not documented elsewhere. The thorough book also offers step-by-step instructions and advanced techniques on everything from using data collection groupings to creating compelling data visualizations. It’s a must-read for all analytics professionals and those who want to be.

BusinessObjects™ XI Release 2 for Dummies®

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.

Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence

“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