Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications "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 This is the eBook version of the print title. The eBook edition contains the same content as the print edition. You will find instructions in the last few pages of your eBook that directs you to the media files.
Business Intelligence Roadmap 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.
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.
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.
Business Intelligence Roadmap is a clear and comprehensive guide to negotiating the complexities inherent in the development of valuable business intelligence decision-support applications. |
From inside the book
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... Data Mining 301 Defining Data Mining 303 The Importance of Data Mining 305 Data Sources for Data Mining 306 Data Mining Techniques 307 Associations Discovery 307 Sequential Pattern Discovery 308 Classification 309 Clustering 309 Forecasting ...
... data: meta data, data mining, data warehousing, multidimensional data analysis (online analytical processing [OLAP]), data security, and so on. But there is also significant emphasis on the business justification, project planning ...
... Data Analysis 13 Step 13: Data Mining 16 Step 16: Release Evaluation must have a comprehensive, high-level understanding of the effort. Table P.2 lists the chapters recommended for business sponsors. Project Managers The project manager ...
... data repositories. Our appreciation also goes to Mike Schmitz for his database suggestions, to Joyce Bischoff for her ETL comments, and to Herb Edelstein and Arun Swami for their data mining remarks. The extensive critiques provided by ...
... Data Analysis 7 Design 8 Database Design 10 Construction 14 12 Application Development 11 ETL Development 9 ETL Design Deployment Meta Data Repository Analysis Meta Data Repository Design Meta Data Repository Development 13 Data Mining ...