Praise for Successful Business Intelligence "If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them." --Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics "When used strategically, business intelligence can help companies transform their organization to be more agile, more competitive, and more profitable. Successful Business Intelligence offers valuable guidance for companies looking to embark upon their first BI project as well as those hoping to maximize their current deployments." --John Schwarz, CEO, Business Objects "A thoughtful, clearly written, and carefully researched examination of all facets of business intelligence that your organization needs to know to run its business more intelligently and exploit information to its fullest extent." --Wayne Eckerson, Director, TDWI Research "Using real-world examples, Cindi Howson shows you how to use business intelligence to improve the performance, and the quality, of your company." --Bill Baker, Distinguished Engineer & GM, Business Intelligence Applications, Microsoft Corporation "This book outlines the key steps to make BI an integral part of your company's culture and demonstrates how your company can use BI as a competitive differentiator." --Robert VanHees, CFO, Corporate Express "Given the trend to expand the business analytics user base, organizations are faced with a number of challenges that affect the success rate of these projects. This insightful book provides practical advice on improving that success rate." --Dan Vesset, Vice President, Business Analytics Solution Research, IDC

“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

Extract and analyze mission-critical enterprise data using Microsoft Office 2007 This authoritative volume is a practical guide to the powerful new collaborative Business Intelligence tools available in Office 2007. Using real-world examples and clear explanations, Microsoft Office 2007 Business Intelligence: Reporting, Analysis, and Measurement from the Desktop shows you how to use Excel, Excel Services, SharePoint, and PerformancePoint with a wide range of stand-alone and external data in today's networked office. You will learn how to analyze data and generate reports, scorecards, and dashboards with the Office tools you're already using to help you in your everyday work. Create Excel PivotTables and PivotCharts and apply Conditional Formatting Convert Excel spreadsheets into Excel Tables with Conditional Formatting and Charting Connect external data to Excel using Office Data Connections and SharePoint Create SharePoint dashboards that display data from multiple sources Add Key Performance Indicators and Excel Services reports to your dashboards Harness advanced SQL Server 2005 data analysis tools with the Excel Data Mining Add-In and Visio Cluster Diagrams Generate integrated PerformancePoint Scorecards Create Visio PivotDiagrams and Windows Mobile spreadsheets

“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.

“I believe that this book will fill a great need for both full-time competitive intelligence practitioners, and those looking to add analytical skills to their managerial tool kit.” --Bill Fiora, Partner and Founder, Outward Insights “All practicing managers and business decision makers should be grateful to Fleisher and Bensoussan for showing them how their analysis work can become more rigorous and their approach less casual. Accept no imitations. This is the genuine article.” --Sheila Wright, Director of the Competitive Intelligence-Marketing Interface Teaching and Research Initiative (CIMITRI) at Leicester Business School, De Montfort University The Definitive How-To Guide for Business and Competitive Analysis Transform raw data into compelling, actionable business recommendations Answer the questions executives ask–“What?” “So What?” and “Now What?” Today’s 24 most valuable techniques: how to choose them, how to use them For everyone who performs analysis: managers, consultants, functional specialists, and strategists A completely new book by the authors of the popular Strategic and Competitive Analysis Business success begins with deep clarity about your competition and your business environment. But, even as data gathering has improved dramatically, few business professionals know the state-of-the-art techniques for analyzing their data. Now there’s a comprehensive, immensely practical guide to today’s best tools and techniques for answering tough questions and making actionable recommendations. begins with end-to-end guidance on the analysis process, including defining problems, avoiding analytical pitfalls, choosing tools, and communicating results. Next, the authors offer detailed guides on 24 of today’s most valuable analysis models: techniques that have never been brought together in one book before.They offer in-depth, step-by-step guidance for using every technique–along with realistic assessments of strengths, weaknesses, feasibility, and business value. Business and Competitive Analysis You are flooded with data. This book will help you transform that data into actionable insights and recommendations that enterprise decision makers cannot and will not ignore. Craig S. Fleisher and Babette E. Bensoussan begin with a practical primer on the process and context of business and competitive analysis: how it works, how to avoid pitfalls, and how to communicate results. Next, they introduce their unique FAROUT method for choosing the right tools for each assignment. The authors then present 24 of today’s most valuable analysis methods.They cover “classic” techniques, such as McKinsey 7S and industry analysis, as well as emerging techniques from multiple disciplines:economics,corporate finance, sociology, anthropology, and the intelligence and futurist communities. For each, they present clear descriptions, background context, strategic rationales, strengths, weaknesses, step-by-step instructions, and references. The result is a book you can rely on to meet any analysis challenge, no matter how complex or novel. The fundamentals of business and competitive analysis Goals, processes, pitfalls, deliverables, and benefits Competitive analysis techniques Nine Forces, Competitive Positioning, Business Model, SERVO, and Supply Chain Analyses Enterprise analysis techniques Benchmarking, McKinsey 7S, Shadowing, Product Line, and Win/Loss Analyses Environmental analysis techniques Strategic Relationships, Corporate Reputation, Critical Success Factors, Driving Forces, and Country Risk Analyses Evolutionary analysis techniques Technology Forecasting,War Gaming, Event/Timeline, Indications and Warning Analyses, and more Financial, probabilistic, and statistical techniques Basic Statistics, Competitor Cash Flow, Analysis of Competing Hypothesis (ACH), and Linchpin Analyses Table of Contents: Preface 1. Business and Competitive Analysis: Definition, Context, and Benefits 2. Performing the Analysis Process 3. Avoiding Analysis Pitfalls 4. Communicating Analysis Results 5. Applying the FAROUT method 6. Industry Analysis (The Nine Forces) 7. Competitive Positioning Analysis 8. Business Model Analysis 9. SERVO Analysis 10. Supply Chain Management (SCM) Analysis 11. Benchmarking Analysis 12. McKinsey 7S Analysis 13. Shadowing 14. Product Line Analysis 15. Win/Loss Analysis 16. Strategic Relationship Analysis 17. Corporate Reputation Analysis 18. Critical Success Factors Analysis 19. Country Risk Analysis 20. Driving Forces Analysis 21. Event and Timeline Analysis 22. Technology Forecasting 23. War Gaming 24. Indications and Warning Analysis 25. Historiographical Analysis 26. Interpretation of Statistical Analysis 27. Competitor Cash Flow Analysis 28. Analysis of Competing Hypothesis 29. Linchpin Analysis Index

The authorized guide to the latest edition of the #1 business intelligence software product - Crystal Reports. More than 16 million licenses of Crystal Reports have been shipped to date. This book is a reference designed to provide hands-on guidance for the latest release of the product suite. The latest version of Crystal Reports and the Business Objects enterprise reporting suite delivers vast product enhancements and a tighter integration that will drive upgrades from licensees. Brand new features (e.g. Dynamic and Cascading Parameter Generation) will also appeal to new audiences. Over 1 million new Business Intelligence licensees will be migrating to the Crystal Enterprise Reporting platform, as this is the first release of the software with the existing Business Objects (BO) products being integrated into the Crystal infrastructure. As Business Objects insiders, the authors bring unique and valuable real-world perspectives on implementations and uses of the Crystal Reports product. The book also includes content, tutorials and samples for reporting within the Microsoft Visual Studio.NET and J2EE development environments and also on top of the SAP Business Information Warehouse (BW) and the Peoplesoft platform. Advanced content on report distribution and integration into the secured managed reporting solution known as Business Objects Enterprise XI, is also now included in this definitive user guide with coverage on the new Web Services SDK.

In this IBM Redbooks publication, we describe and demonstrate how to implement enterprise performance insight. This is an initiative that has a primary focus on the integration of Business Process Management and Business Intelligence. With this capability, management has an enterprise-wide view of their business that can enable proactive business management. We discuss the techniques, architectures, and processes used to define and implement such an environment. Among the specific techniques and technologies used are key performance indicators, process alerts, management dashboards, analytic applications, application integration, process modeling and monitoring, and real-time business intelligence. The products featured are DB2 UDB, DB2 Alphablox, WebSphere Information Integrator, WebSphere Portal, WebSphere Business Monitor, and WebSphere Business Modeler. Performance insight is an element of a more global initiative called business innovation and optimization (BIO). With this, we can enable business performance management, an initiative for the effective use of people, processes, assets, and technology to proactively achieve business goals and measurements. It enables strategic alignment of business and technology, resulting in real-time access to data and continuous process and data flow, for proactive business management, and business goal attainment.

No one wants to end life's journey wondering: Did my life count for something? Did I have a reason for being here? The stories in this book show that for people of all ages, income levels, and expertise, the answer can be a resounding " Yes!" From extraordinary examples -- relief efforts in the aftermath of Hurricane Katrina or work in refugee camps in Afghanistan -- to localized, everyday actions, the authors demonstrate that living a life of service to others, and seeing how lives are changed as a result, establishes the meaning and significance all humans long for. Moreover, the book provides strategies for creating a purposeful life through daily service. The authors prove that the ability to find fulfillment is within reach, and that the discovery is waiting to be made in homes, workplaces, communities, neighborhoods, and schools all across America.

Transform data into action for competitive advantage "The knowledge assets of an organization are becoming increasingly important for competitive advantage, and therefore, the way in which knowledge is created, renewed, and communicated is critical. This book provides practical insights into how this may be achieved through the establishment of a Business Intelligence Competency Centre and is a valuable read for 'information professionals.'" --Bill Sturman, Information Architecture Project Manager The Open University, United Kingdom "BI is more than technology and projects. BI must live in the organization--as a BICC. This book helps to make BI tangible and understandable, bringing it to life." --Miriam Eisenmann, Project Manager (PMP) CSC Ploenzke AG, Germany "This book is a must-read for planning and implementing your BICC. It is a pragmatic guide that addresses a lot, if not all, of the questions you'll be asking yourself. Don't miss out on getting a head start from the people who thought this through from start to finish . . . Pray your competitors don't get hold of this book!" --Claudia Imhoff, President Intelligent Solutions, Inc., USA "Creating a BICC forces the organization to focus on the importance of centralizing the gathering, interpreting, and analyzing of information to create business insight." --Anne Ulyate, Group Manager Business Intelligence Mutual & Federal, South Africa "BI is a highly visible element in the 'business value' trend for IT investments. Initiatives, such as competency centers, should empower user organizations to drive even more value out of their BI investments." --Marianne Kolding, Director, European ServicesIDC, United Kingdom

Transform disparate enterprise data into actionable business intelligence Put timely, mission-critical information in the hands of employees across your organization using Microsoft SQL Server 2005 and the comprehensive information in this unique resource. Delivering Business Intelligence with Microsoft SQL Server 2005 shows you, step-by-step, how to author, customize, and distribute information that will give your company the competitive edge. It's all right here--from data mining, warehousing, and scripting techniques to MDX queries, KPI analysis, and the all-new Unified Dimensional Model. Real-world examples, start-to-finish exercises, and downloadable code throughout illustrate all of the integration, analysis, and reporting capabilities of SQL Server 2005.

This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations through the myriad of challenges to true success as measured by contribution to business value. Building a data warehousing and business intelligence system is a complex business and engineering effort. While there are significant technical challenges to overcome in successfully deploying a data warehouse, the authors find that the most common reason for data warehouse project failure is insufficient focus on the business users and business problems. In an effort to help people gain success, this book takes the proven Business Dimensional Lifecycle approach first described in best selling The Data Warehouse Lifecycle Toolkit and applies it to the Microsoft SQL Server 2005 tool set. Beginning with a thorough description of how to gather business requirements, the book then works through the details of creating the target dimensional model, setting up the data warehouse infrastructure, creating the relational atomic database, creating the analysis services databases, designing and building the standard report set, implementing security, dealing with metadata, managing ongoing maintenance and growing the DW/BI system. All of these steps tie back to the business requirements. Each chapter describes the practical steps in the context of the SQL Server 2005 platform. Intended Audience The target audience for this book is the IT department or service provider (consultant) who is: Planning a small to mid-range data warehouse project; Evaluating or planning to use Microsoft technologies as the primary or exclusive data warehouse server technology; Familiar with the general concepts of data warehousing and business intelligence. The book will be directed primarily at the project leader and the warehouse developers, although everyone involved with a data warehouse project will find the book useful. Some of the book’s content will be more technical than the typical project leader will need; other chapters and sections will focus on business issues that are interesting to a database administrator or programmer as guiding information. The book is focused on the mass market, where the volume of data in a single application or data mart is less than 500 GB of raw data. While the book does discuss issues around handling larger warehouses in the Microsoft environment, it is not exclusively, or even primarily, concerned with the unusual challenges of extremely large datasets. About the Authors JOY MUNDY has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Joy co-founded InfoDynamics LLC, a data warehouse consulting firm, then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged data warehouse. Before returning to consulting with the Kimball Group in 2004, Joy worked in Microsoft SQL Server product development, managing a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy began her career as a business analyst in banking and finance. She graduated from Tufts University with a BA in Economics, and from Stanford with an MS in Engineering Economic Systems. WARREN THORNTHWAITE has been building data warehousing and business intelligence systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then co-founded InfoDynamics LLC, a data warehouse consulting firm, with his co-author, Joy Mundy. Warren joined up with WebTV to help build a world class, multi-terabyte customer focused data warehouse before returning to consulting with the Kimball Group. In addition to designing data warehouses for a range of industries, Warren speaks at major industry conferences and for leading vendors, and is a long-time instructor for Kimball University. Warren holds an MBA in Decision Sciences from the University of Pennsylvania's Wharton School, and a BA in Communications Studies from the University of Michigan. RALPH KIMBALL, PH.D., has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well-known authors, speakers, consultants, and teachers on data warehousing. He writes the "Data Warehouse Architect" column for Intelligent Enterprise (formerly DBMS) magazine.

American democracy, argues Charles Derber, is being subverted in the name of democracy itself. Derber shows how the current regime has maintained power by intensifying the red/blue culture wars—supporting religious extremists, exploiting terrorism fears, and manipulating the electoral process. And he reveals our best hope for positive change: an alliance between the Democratic Party and another source of hidden power—the grass roots progressive movements that have always been catalysts for change. Thoughtful, eloquent, and compelling, Hidden Power offers real hope for restoring genuine democracy to America.

This book is a must read for anyone deploying BusinessObjects. It covers everything from planning your upgrade to the latest release, to best practices in universe design, and powerful report creation that maximizes business insight. This book covers the most frequently used features for the full BI suite, in one comprehensive book. There's in depth coverage of Designer, security via the Central Management Console, InfoView, Web Intelligence, and Desktop Intelligence. It goes beyond step-by-step instructions to cover how and why in a business context. Transition notes are interspersed for version 5 and 6 customers to understand the biggest changes in XI Release 2. If you drive BI requirements in your company or are a data warehouse program manager, Business Objects administrator, report author or consumer, this book is for you.

In this IBM Redbooks publication we discuss primary processes and various alternatives that prepare you in implementing a DB2 near-realtime business intelligence environment. We discuss architectural alternatives and include overviews of software products that you can use in an implementation. As a primary focus, we tested the capabilities for supporting continuous update of a DB2 data warehouse while running a continuous concurrent query workload against that data warehouse. We tested several implementation scenarios and the variables that impact them. The results of our testing and the issues we encountered are provided.

Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series. * Provides clear explanations without technical jargon, followed by in-depth descriptions. * Articulates the business value of new technology, while providing relevant introductory technical background. * Contains a handy quick-reference to technologies and terminologies. * Guides managers through developing, administering, or simply understanding business intelligence technology. * Bridges the business-technical gap. * Is Web enhanced. Companion sites to the book and series provide value-added information, links, discussions, and more.

Making business intelligence work: Start-to-finish guidance for managers This book offers a true enterprise view of business intelligence. IBM expert Mike Biere shows managers how to create a coherent BI plan that reflects the needs of users throughout the organization-and then implement that plan successfully. Biere explains how to objectively assess the business case for BI, and identifies proven solutions for the obstacles that lead many BI projects to fail. Coverage includes: Setting appropriate expectations and goals for your BI project Understanding how the key components of a complete BI solution fit together Designing effective BI solutions-including content management, handling unstructured data, and end-user segmentation Providing effective support for BI end users Introducing Corporate Performance Management (CPM): an executive's view of BI Previewing tomorrow's "next wave" in BI solutions Comprehensive checklists for planning your BI project

Data warehouses in the 1990s were for the privileged few business analysts. Business Intelligence is now being democratized by being shared with the rank and file employee demanding higher levels of RDBMS scalability and ease of use, being delivered through Web portals. To support this emerging e-Business Intelligence world, the challenges that face the enterprises for their centralized data warehouse RDBMS technology are scalability, performance, availability and smart manageability. This IBM Redbooks publication focuses on the innovative technical functionalities of DB2 UDB ESE V8.1 and discusses: This book positions the new functionalities, so you can understand and evaluate their applicability in your own enterprise data warehouse environment, and get started prioritizing and implementing them. Please note that the additional material referenced in the text is not available from IBM.

"If you are looking for a complete treatment of business intelligence, then go no further than this book. Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and logical order, making it easy for the reader to follow their line of thought. From early design to ETL to physical database design, the book ties together all the components of business intelligence." --Bill Inmon, Inmon Enterprises is a visual guide to developing an effective business intelligence (BI) decision-support application. This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment. The authors walk readers through every step of the process--from strategic planning to the selection of new technologies and the evaluation of application releases. The book also serves as a single-source guide to the best practices of BI projects. Business Intelligence Roadmap Part I steers readers through the six stages of a BI project: justification, planning, business analysis, design, construction, and deployment. Each chapter describes one of sixteen development steps and the major activities, deliverables, roles, and responsibilities. All technical material is clearly expressed in tables, graphs, and diagrams. Part II provides five matrices that serve as references for the development process charted in Part I. Management tools, such as graphs illustrating the timing and coordination of activities, are included throughout the book. The authors conclude by crystallizing their many years of experience in a list of dos, don'ts, tips, and rules of thumb. The accompanying CD-ROM includes a complete, customizable work breakdown structure. Both the book and the methodology it describes are designed to adapt to the specific needs of individual stakeholders and organizations. The book directs business representatives, business sponsors, project managers, and technicians to the chapters that address their distinct responsibilities. The framework of the book allows organizations to begin at any step and enables projects to be scheduled and managed in a variety of ways. is a clear and comprehensive guide to negotiating the complexities inherent in the development of valuable business intelligence decision-support applications Business Intelligence Roadmap

This IBM Redbooks publication deals with exploiting DB2 UDB’s materialized views (also known as ASTs/MQTs), statistics, analytic, and OLAP functions in e-business applications to achieve superior performance and scalability. This book is aimed at a target audience of DB2 UDB application developers, database administrators (DBAs), and independent software vendors (ISVs). We provide an overview of DB2 UDB’s materialized views implementation, as well as guidelines for creating and tuning them for optimal performance. We introduce key statistics, analytic, and OLAP functions, and describe their corresponding implementation in DB2 UDB with usage examples. Finally, we describe typical business level queries that can be answered using DB2 UDB’s statistics, analytic, and OLAP functions. These business queries are categorized by industry, and describe the steps involved in resolving the query, with sample SQL and visualization of results.

Link business intelligence to the Web! Technologies, integration, and applications. Internet-enabled business intelligence: from planning to profit In-depth coverage of integration and key enabling technologies, including Java and XML Advanced analysis and profiling: understand customers better, and respond faster Clickstrean analysis: understanding how customers use your site Linking data warehouses to CRM and other enterprise/value chain systems This is the first start-to-finish guide to planning, deploying, and profiting from Internet-enabled data warehouses. Leading business intelligence specialist William Giovinazzo covers every enabling technology, every analysis approach, and every key challenge you'll face in linking business intelligence to the Web. From infrastructure integration to state-of-the-art profiling and wireless applications, Giovinazzo shows how everything fits together—and exactly how to use Web-enabled data warehouses to deliver powerful ROI in your business. How the Internet enhances your business intelligence infrastructure Leveraging key enabling technologies: Java, XML, XSL, and more Breakthrough analysis techniques: understand customers better, and respond faster! Integrating data warehouses with CRM and other enterprise and inter-enterprise systems Establishing common warehouse metadata Drawing on the clickstreams generated by your Web and e-commerce sites Personalization techniques that work