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
Results 1-5 of 89
... Data Analysis 127 Top-Down Logical Data Modeling 128 Project-Specific Logical Data Model 128 Enterprise Logical Data Model 129 Logical Data Modeling Participants 131 Standardized Business Meta ... Technical Data Conversion Rules 134 Business ...
... Meta Data Repository Challenges 182 Technical Challenges 182 Staffing Challenges 183 Budget Challenges 183 Usability Challenges 183 Political Challenges 184 The Logical Meta Model 184 The Entity-Relationship Meta Model 185 Meta-Meta Data ...
... technical aspects of 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 ...
... technical in nature, business representatives involved in BI projects must understand what activities need to occur ... Data Analysis 6 Step 6: Application Prototyping 7 Step 7: Meta Data Repository Analysis 9 Step 9: Extract/Transform ...
... technical infrastructure and nontechnical infrastructure are required core ... engineering roadmap that provides a framework for developing different kinds of BI ... Meta Data Repository subprojects. The approach presented in Business ...