"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.
|Series:||Addison-Wesley Information Technology Series|
|Sold by:||Barnes & Noble|
|File size:||11 MB|
|Note:||This product may take a few minutes to download.|
About the Author
Larissa Moss is founder and president of Method Focus, Inc., a consulting firm specializing in business intelligence and data warehousing. She is a frequent lecturer and speaker at conferences in the United States, Europe, and Asia on data warehousing, project management, development methodologies, and organizational and cultural issues. Her articles on these topics are regularly published in magazines such as DM Review and Journal of Data Warehousing. She is coauthor of Data Warehouse Project Management (Addison-Wesley, 2000) and Impossible Data Warehouse Situations (Addison-Wesley, 2003). She is a senior consultant at the Cutter Consortium and one of the authors of their Business Intelligence Executive Reports.
Shaku Atre is president of Atre Group, Inc., a Santa Cruz, CA based consulting organization specializing in business intelligence and data warehousing implementations. She is also the president of Atre Associates, Inc., a systems integration company based in New York City. Previously, she was a partner with PricewaterhouseCoopers, held a variety of management and staff positions at IBM, and served as a faculty member of IBM's prestigious Systems Research Institute. She has authored hundreds of articles as a columnist for Information Week, Computerworld, eWeek and a number of other publications. She is the author of five books including Data Base: Structured Techniques for Design, Performance, and Management, Second Edition (John Wiley & Sons, 1988) and Distributed Databases, Cooperative Processing, and Networking (McGraw-Hill, 1992).
Most Helpful Customer Reviews
It is refreshing to read a book that presents in-depth techniques for developing a BI application from cradle to grave in a continuous evolutionary process. Various matrices and WBS samples in Part II of the book serve as a quick reference for iterative planning and delivering of decision-support systems.The authors have done a phenomenal job in integrating business, technical,and management aspects of a BI and decision-support system to present an exhaustive set of guidelines. After working with numerous clients and having read Inmon¿s Building the Data Warehouse, Kimball¿s The Data Warehouse Lifecycle Toolkit as well as various BI white papers, I know that data ETL and data warehouses are a major part of any BI strategy. However, after reviewing the summary of over 20 BI related books, I found that the primary focus of many BI books is normally limited to data presentation and analytical layers only.This book is an exception . I would recommend this book to expert as well as novice DW/BI professionals alike, who may be business users, data analysts, architects, project managers, statisticians,or executive stakeholders.
This is an excellent book and, more importantly, it¿s very useful. It¿s loaded with specifics and checklists on what to do and how to do it (it also tells you what not to do). It lays out the pitfalls and tells you how to avoid them. The stages and steps outlined in the book are very specific and the authors, with their wealth of experience, tell you how to implement a successful data warehouse. The work breakdown structure (the tasks you need to implement the data warehouse), the deliverables matrix, and entry and exit criteria for each step are very detailed and alone are worth the price of the book. The book will give those responsible for a data warehouse the information they need to establish best practices within their own organization and will give these folks the ammunition and support to ask for the necessary resources to implement a data warehouse.